Information Extraction from HTML: General Machine Learning ...
•Download as PPT, PDF•
1 like•598 views
The document discusses using the relational learning algorithm SRV for information extraction from HTML documents. SRV uses a token-oriented feature set that makes no assumptions about document structure. It was tested on extracting data from university course and research web pages, outperforming a simple memorization agent. When domain-specific HTML features were added, SRV's performance improved significantly, though such features are not necessary for it to function. SRV induces rules in a top-down manner from general to specific, unlike previous bottom-up models.
Report
Share
Report
Share
![Abstract ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
L02 Software Design
Object Oriented Programming is revisited. It is assumed that students know OO languages so this is more of a review. We will cover concepts such as encapsulation, interfaces and polymorphism. These are important concepts that students must understand in order to write flexible and lasting code. We look at several design principles.
We also look at software design and take an example from a video games.
In this lecture we will also reveal the secret of programming which all good programmers must know.
Query optimization to improve performance of the code execution
This document discusses query optimization techniques to improve the performance of code execution. It describes how object querying provides an abstraction for operations over collections of objects that allows the query evaluator to optimize queries dynamically at runtime. Specifically, it presents an example of using the Java Query Language (JQL) to perform an equi-join on two collections in a more succinct way compared to manually iterating over the collections, and discusses how the JQL query could be optimized using techniques like hash joins.
11.query optimization to improve performance of the code execution
1. The document discusses query optimization techniques to improve the performance of object querying in Java.
2. It presents the Java Query Language (JQL) which allows programmers to express queries over object collections in Java through a declarative syntax.
3. The key aspects of JQL implementation include a compiler that compiles JQL queries to Java code and a query evaluator that applies optimizations like hash joins and nested loops joins to efficiently evaluate the queries.
From Academic Papers To Production : A Learning To Rank Story
This talk is about the journey to bring Learning To Rank (LTR from now on) to the e-commerce domain in a real world scenario, including all the pitfalls and disillutions involved.
LTR is a fantastic approach to solve complex ranking problems but industry domains are far from being the ideal world where those technologies were designed and experimented : open source software implementations are not working perfectly out of the box and require advanced tuning; industry training data is dirty, noisy and incomplete.
This talk will guide you through the different phases and technologies involved in a LTR project with a pragmatic approach.
Feature Engineering, Domain Modelling, Training Set Building, Model Training, Search Integration and Online Evaluation : each of them presents different challenges in the real world and must be carefully approached.
SAP ABAP using OOPS - JH Softech
This document provides an introduction to object-oriented programming concepts in ABAP, including definitions of objects, classes, inheritance, polymorphism, and encapsulation. It compares procedural and object-oriented programming, and gives examples of common objects like Customer and Order. The document also discusses how ABAP Objects implements these concepts and the advantages of object-oriented design like reusability and reduced maintenance. Methods are introduced as functions that provide business logic within classes.
Learn advanced java programming
TOPS Technologies offer Professional Java Training in Ahmedabad.
Ahmedabad Office (C G Road)
903 Samedh Complex,
Next to Associated Petrol Pump,
CG Road,
Ahmedabad 380009.
http://www.tops-int.com/live-project-training-java.html
Most experienced IT Training Institute in Ahmedabad known for providing Java course as per Industry Standards and Requirement.
Advanced Document Similarity With Apache Lucene
This document provides an overview of using Apache Lucene to perform document similarity searches. It discusses how Lucene indexes documents and calculates term scores using techniques like TF-IDF and BM25. The document demonstrates Lucene's More Like This module, which finds similar documents by building a query from weighted interesting terms in the input document. It also proposes future work, such as leveraging term positions and fields across multiple input documents to improve similarity searches.
Database-to-Ontology Mapping Generation for Semantic Interoperability
This is the powerpoint presentation of my paper: "Database-to-Ontology Mapping Generation for Semantic Interoperability", presented at the Third International Workshop on Database Interoperability (InterDB 2007), held in conjunction with VLDB 2007, Vienna, Austria, September 2007.
Recommended
L02 Software Design
Object Oriented Programming is revisited. It is assumed that students know OO languages so this is more of a review. We will cover concepts such as encapsulation, interfaces and polymorphism. These are important concepts that students must understand in order to write flexible and lasting code. We look at several design principles.
We also look at software design and take an example from a video games.
In this lecture we will also reveal the secret of programming which all good programmers must know.
Query optimization to improve performance of the code execution
This document discusses query optimization techniques to improve the performance of code execution. It describes how object querying provides an abstraction for operations over collections of objects that allows the query evaluator to optimize queries dynamically at runtime. Specifically, it presents an example of using the Java Query Language (JQL) to perform an equi-join on two collections in a more succinct way compared to manually iterating over the collections, and discusses how the JQL query could be optimized using techniques like hash joins.
11.query optimization to improve performance of the code execution
1. The document discusses query optimization techniques to improve the performance of object querying in Java.
2. It presents the Java Query Language (JQL) which allows programmers to express queries over object collections in Java through a declarative syntax.
3. The key aspects of JQL implementation include a compiler that compiles JQL queries to Java code and a query evaluator that applies optimizations like hash joins and nested loops joins to efficiently evaluate the queries.
From Academic Papers To Production : A Learning To Rank Story
This talk is about the journey to bring Learning To Rank (LTR from now on) to the e-commerce domain in a real world scenario, including all the pitfalls and disillutions involved.
LTR is a fantastic approach to solve complex ranking problems but industry domains are far from being the ideal world where those technologies were designed and experimented : open source software implementations are not working perfectly out of the box and require advanced tuning; industry training data is dirty, noisy and incomplete.
This talk will guide you through the different phases and technologies involved in a LTR project with a pragmatic approach.
Feature Engineering, Domain Modelling, Training Set Building, Model Training, Search Integration and Online Evaluation : each of them presents different challenges in the real world and must be carefully approached.
SAP ABAP using OOPS - JH Softech
This document provides an introduction to object-oriented programming concepts in ABAP, including definitions of objects, classes, inheritance, polymorphism, and encapsulation. It compares procedural and object-oriented programming, and gives examples of common objects like Customer and Order. The document also discusses how ABAP Objects implements these concepts and the advantages of object-oriented design like reusability and reduced maintenance. Methods are introduced as functions that provide business logic within classes.
Learn advanced java programming
TOPS Technologies offer Professional Java Training in Ahmedabad.
Ahmedabad Office (C G Road)
903 Samedh Complex,
Next to Associated Petrol Pump,
CG Road,
Ahmedabad 380009.
http://www.tops-int.com/live-project-training-java.html
Most experienced IT Training Institute in Ahmedabad known for providing Java course as per Industry Standards and Requirement.
Advanced Document Similarity With Apache Lucene
This document provides an overview of using Apache Lucene to perform document similarity searches. It discusses how Lucene indexes documents and calculates term scores using techniques like TF-IDF and BM25. The document demonstrates Lucene's More Like This module, which finds similar documents by building a query from weighted interesting terms in the input document. It also proposes future work, such as leveraging term positions and fields across multiple input documents to improve similarity searches.
Database-to-Ontology Mapping Generation for Semantic Interoperability
This is the powerpoint presentation of my paper: "Database-to-Ontology Mapping Generation for Semantic Interoperability", presented at the Third International Workshop on Database Interoperability (InterDB 2007), held in conjunction with VLDB 2007, Vienna, Austria, September 2007.
How the Lucene More Like This Works
The More Like This search functionality is a key feature in Apache Lucene that allows to find similar documents to an input one (text or document). Being widely used but rarely explored, this presentation will start introducing how the MLT works internally. The focus of the talk is to improve the general understanding of MLT and the way you could benefit from it. Building on the introduction the focus will be on the BM25 text similarity function and how this has been (tentatively) included in the MLT through a conspicious refactor and testing process, to improve the identification of the most interesting terms from the input that can drive the similarity search. The presentation will include real world usage examples, proposed patches, pending contributions and future developments such as improved query building through positional phrase queries.
9 subprograms
This document discusses subprograms in programming languages. It covers the fundamentals of subprograms including definitions, parameters, and parameter passing methods. Key points include:
- A subprogram has a single entry point and control returns to the caller when execution terminates. Parameters can be passed by value, reference, result, or name.
- Issues around subprograms include parameter type checking, local variable scope, and parameter passing semantics and implementation. Languages support different parameter passing methods like pass-by-value or pass-by-reference.
- Parameter passing methods have tradeoffs between efficiency and aliasing. Multidimensional arrays as parameters require type information to be passed correctly in some languages. Subprograms can also
Explainability for Learning to Rank
This document provides an overview of explainability methods for learning to rank models. It introduces the SHAP (Shapley Additive Explanations) library as a popular method for explaining machine learning models using game theory. A case study demonstrates how to use Tree SHAP to generate summary, force, dependence, and decision plots to explain the features influencing a LambdaMART ranking model. Key advantages and limitations of SHAP are discussed, such as its ability to handle different data types but computational expense. Code examples are provided for generating SHAP values and plots in Python.
Lucene And Solr Document Classification
This presentation will start by introducing how Apache Lucene can be used to classify documents using data structures that already exist in your index instead of having to generate and supply external training sets. Building on the introduction the focus will be on extensions of the Lucene Classification module that come in Lucene 6.0 and the Lucene Classification module's incorporation in to Solr 6.1. These extensions will allow you to classify at a document level with individual field weighting, numeric field support, lat/lon fields etc. The Solr ClassificationUpdateProcessor will be explored, such as how it works, and how to use it including basic and advanced features like multi class support and classification context filtering. The presentation will include practical examples and real world use cases.
L04 base patterns
In this lecture we look at the patterns in chapter 18 in the textbook (Patterns of Enterprise Application Architecture). The lecture is in two parts. First we go through each of the patterns and explain each.
Then in the second part we look at a problem we have to solve and try to get the patterns to show themselves at the time they are needed.
Stay fresh
This document discusses various programming language trends including functional programming languages like Haskell, purely object-oriented languages, and Scala. It also covers database trends like NoSQL databases Cassandra and MongoDB. Programming tools like Docker and Vagrant are mentioned. The document discusses paradigms like static vs dynamic typing and strong vs weak typing. It provides examples and resources for languages including Haskell, Erlang, Scala, and databases like Cassandra.
RELATIONAL STORAGE FOR XML RULES
Very few research works have been done on XML security over relational databases despite that XML became the de facto standard for the data representation and exchange on the internet and a lot of XML documents are stored in RDBMS. In [14], the author proposed an access control model for schema-based storage of XML documents in relational storage and translating XML access control rules to relational access control rules. However, the proposed algorithms had performance drawbacks. In this paper, we will use the same access control model of [14] and try to overcome the drawbacks of [14] by proposing an efficient technique to store the XML access control rules in a relational storage of XML DTD. The mapping of the XML DTD to relational schema is proposed in [7]. We also propose an algorithm to translate XPath queries to SQL queries based on the mapping algorithm in [7].
Haystack London - Search Quality Evaluation, Tools and Techniques
Every search engineer ordinarily struggles with the task of evaluating how well a search engine is performing. Improving the correctness and effectiveness of a search system requires a set of tools which help measuring the direction where the system is going. The talk will describe the Rated Ranking Evaluator from a developer perspective. RRE is an open source search quality evaluation tool, that could be used for producing a set of deliverable reports and that could be integrated within a continuous integration infrastructure.
Intelligent query converter a domain independent interfacefor conversion
This document describes an "Intelligent Query Converter" (IQC) system that converts natural language queries in English to SQL queries. IQC uses semantic matching techniques and WordNet to match queries to database schema without requiring domain-specific configuration. The system classifies queries based on presence of value keywords and conjunctive clauses. Experiments show IQC correctly answered 64.5-87.9% of queries for different databases, outperforming Microsoft's English Query system which answered correctly 29.0-51.8% of time. IQC provides a domain-independent natural language interface to databases using semantic analysis techniques.
Rated Ranking Evaluator (RRE) Hands-on Relevance Testing @Chorus
What is Rated Ranking Evaluator and how to use it (for both Software Engineer and IT Manager). Talk made during Chorus Workshops at Plainschwarz Salon.
Parser
I have made this presentation for my personal work puposes.
Just want to have some comments, suggestions, advices from others to make it better.
Hope that you guys will help me out
Feature Extraction for Large-Scale Text Collections
Feature engineering is a fundamental but poorly documented component in LTR search applications.
As a result, there are still few open access software packages that allow researchers and practitioners to easily simulate a feature extraction pipeline and conduct experiments in a lab setting.
This talk introduces Fxt, an open-source framework to perform efficient and scalable feature extraction. Fxt may be integrated into complex, high-performance software applications to help solve a wide variety of text-based machine learning problems.
The talk details how we built and documented a reproducible feature extraction pipeline with LTR experiments using the ClueWeb09B collection.
This LTR dataset is publicly available.
We’ll also discuss some of the benefits (feature extraction efficiency, model interpretation) of having open access tooling in this area for researchers and practitioners alike.
Basic IO
The document discusses Java I/O streams and input/output. It introduces streams as an ordered sequence of data linked to a physical device. Streams can represent different sources and destinations like files, devices, networks. Input streams read data from a source while output streams write data to a destination. Byte streams handle bytes and character streams handle characters. Important stream classes include InputStream, OutputStream, Reader, and Writer. The System class defines predefined input, output, and error streams. Reading input involves wrapping System.in in a BufferedReader while writing uses PrintStream.
C# 3.0 and LINQ Tech Talk
Older (2008) presentation I gave internally to SunGard to educate developers on C# and LINQ. LINQ still rocks, and the concepts I cover are important language features while C# developers should be asked in interviews event today.
Ijert semi 1
The document discusses fuzzy type-ahead search techniques for XML data. It describes how traditional XML query techniques like XPath and XQuery can be complex for users. It then discusses fuzzy search methods like the minimum cost tree approach and LCA-based interactive search that allow for approximate keyword matching. The paper also proposes using exclusive LCA and effective indexing and ranking algorithms to efficiently identify the top-k most relevant answers to a fuzzy keyword query in an XML document.
Answer ado.net pre-exam2018
ADO.NET is a data access technology from Microsoft that provides communication between relational and non-relational systems through common components. It allows programs written in different languages to share classes and uses object-oriented programming principles. Key classes in ADO.NET include Connection, which controls connections to databases, and Dataset, which offers common functions for metadata. Serialization converts objects to bytes for storage or transmission, while deserialization reconstructs objects from data.
Unit 3 principles of programming language
The document discusses concepts related to sequence control and subprograms in programming languages. It covers conditional statements, loops, exception handling, subprogram definition and activation, and subprogram environments. Key points include implicit and explicit sequence control using statements, precedence and associativity rules for expressions, stack-based implementation of subprogram calls, and static versus dynamic scoping of identifiers through referencing environments.
Sedna XML Database: Query Parser & Optimizing Rewriter
The document discusses Sedna, an XML query parser and optimizer. It describes:
1) The goals of supporting a wide range of queries while achieving high performance.
2) The query processing steps of parsing, analysis, optimization, and physical plan generation.
3) The optimizing rewriter removes unnecessary operations through rewriting rules like combining // steps or removing duplicate nodes.
ArtForm - Dynamic analysis of JavaScript validation in web forms - Poster
ArtForm is a tool that uses concolic analysis and symbolic execution to dynamically analyze JavaScript validation in web forms. It infers integrity constraints, models hidden data, and improves search and data extraction. It works by controlling a WebKit browser to execute code symbolically while tracking concrete and symbolic values. Challenges include event handler dependencies, implied constraints, and JavaScript semantics that are difficult to model. Future work focuses on handling more patterns and constraints and targeting exploration of interesting parts of form trees.
ASP.NET 3.5 SP1
The document summarizes new features in .NET 3.5 SP1, including enhancements to ADO.NET Entity Framework, ADO.NET Data Services, ASP.NET routing, and ASP.NET dynamic data. It provides an overview and demonstrations of each technology. Key points covered include using Entity Framework to bridge the gap between object-oriented and relational models, consuming entity data models via LINQ queries or object services, and using data services to expose data over HTTP in a RESTful manner.
Linq To The Enterprise
The document provides a biography and background information on Daniel N. Egan, including his roles as a Microsoft Regional Director, Microsoft MVP for ASP.Net, author, and speaker. It then outlines the topics to be covered in the presentation, including object relational mappers, language enhancements in C# and VB.Net, LINQ goals, fundamentals and usage.
Linq 1224887336792847 9
The document provides an overview of Daniel Egan's professional experience including his roles as a Microsoft Regional Director, Microsoft MVP for ASP.Net, Chief Architect at Odyssey Consulting Group, author, instructor, and his involvement with various .Net user groups. It then outlines topics to be covered including object relational mappers, language enhancements in VB.Net and C# 3.0, LINQ and LINQ to SQL.
More Related Content
What's hot
How the Lucene More Like This Works
The More Like This search functionality is a key feature in Apache Lucene that allows to find similar documents to an input one (text or document). Being widely used but rarely explored, this presentation will start introducing how the MLT works internally. The focus of the talk is to improve the general understanding of MLT and the way you could benefit from it. Building on the introduction the focus will be on the BM25 text similarity function and how this has been (tentatively) included in the MLT through a conspicious refactor and testing process, to improve the identification of the most interesting terms from the input that can drive the similarity search. The presentation will include real world usage examples, proposed patches, pending contributions and future developments such as improved query building through positional phrase queries.
9 subprograms
This document discusses subprograms in programming languages. It covers the fundamentals of subprograms including definitions, parameters, and parameter passing methods. Key points include:
- A subprogram has a single entry point and control returns to the caller when execution terminates. Parameters can be passed by value, reference, result, or name.
- Issues around subprograms include parameter type checking, local variable scope, and parameter passing semantics and implementation. Languages support different parameter passing methods like pass-by-value or pass-by-reference.
- Parameter passing methods have tradeoffs between efficiency and aliasing. Multidimensional arrays as parameters require type information to be passed correctly in some languages. Subprograms can also
Explainability for Learning to Rank
This document provides an overview of explainability methods for learning to rank models. It introduces the SHAP (Shapley Additive Explanations) library as a popular method for explaining machine learning models using game theory. A case study demonstrates how to use Tree SHAP to generate summary, force, dependence, and decision plots to explain the features influencing a LambdaMART ranking model. Key advantages and limitations of SHAP are discussed, such as its ability to handle different data types but computational expense. Code examples are provided for generating SHAP values and plots in Python.
Lucene And Solr Document Classification
This presentation will start by introducing how Apache Lucene can be used to classify documents using data structures that already exist in your index instead of having to generate and supply external training sets. Building on the introduction the focus will be on extensions of the Lucene Classification module that come in Lucene 6.0 and the Lucene Classification module's incorporation in to Solr 6.1. These extensions will allow you to classify at a document level with individual field weighting, numeric field support, lat/lon fields etc. The Solr ClassificationUpdateProcessor will be explored, such as how it works, and how to use it including basic and advanced features like multi class support and classification context filtering. The presentation will include practical examples and real world use cases.
L04 base patterns
In this lecture we look at the patterns in chapter 18 in the textbook (Patterns of Enterprise Application Architecture). The lecture is in two parts. First we go through each of the patterns and explain each.
Then in the second part we look at a problem we have to solve and try to get the patterns to show themselves at the time they are needed.
Stay fresh
This document discusses various programming language trends including functional programming languages like Haskell, purely object-oriented languages, and Scala. It also covers database trends like NoSQL databases Cassandra and MongoDB. Programming tools like Docker and Vagrant are mentioned. The document discusses paradigms like static vs dynamic typing and strong vs weak typing. It provides examples and resources for languages including Haskell, Erlang, Scala, and databases like Cassandra.
RELATIONAL STORAGE FOR XML RULES
Very few research works have been done on XML security over relational databases despite that XML became the de facto standard for the data representation and exchange on the internet and a lot of XML documents are stored in RDBMS. In [14], the author proposed an access control model for schema-based storage of XML documents in relational storage and translating XML access control rules to relational access control rules. However, the proposed algorithms had performance drawbacks. In this paper, we will use the same access control model of [14] and try to overcome the drawbacks of [14] by proposing an efficient technique to store the XML access control rules in a relational storage of XML DTD. The mapping of the XML DTD to relational schema is proposed in [7]. We also propose an algorithm to translate XPath queries to SQL queries based on the mapping algorithm in [7].
Haystack London - Search Quality Evaluation, Tools and Techniques
Every search engineer ordinarily struggles with the task of evaluating how well a search engine is performing. Improving the correctness and effectiveness of a search system requires a set of tools which help measuring the direction where the system is going. The talk will describe the Rated Ranking Evaluator from a developer perspective. RRE is an open source search quality evaluation tool, that could be used for producing a set of deliverable reports and that could be integrated within a continuous integration infrastructure.
Intelligent query converter a domain independent interfacefor conversion
This document describes an "Intelligent Query Converter" (IQC) system that converts natural language queries in English to SQL queries. IQC uses semantic matching techniques and WordNet to match queries to database schema without requiring domain-specific configuration. The system classifies queries based on presence of value keywords and conjunctive clauses. Experiments show IQC correctly answered 64.5-87.9% of queries for different databases, outperforming Microsoft's English Query system which answered correctly 29.0-51.8% of time. IQC provides a domain-independent natural language interface to databases using semantic analysis techniques.
Rated Ranking Evaluator (RRE) Hands-on Relevance Testing @Chorus
What is Rated Ranking Evaluator and how to use it (for both Software Engineer and IT Manager). Talk made during Chorus Workshops at Plainschwarz Salon.
Parser
I have made this presentation for my personal work puposes.
Just want to have some comments, suggestions, advices from others to make it better.
Hope that you guys will help me out
Feature Extraction for Large-Scale Text Collections
Feature engineering is a fundamental but poorly documented component in LTR search applications.
As a result, there are still few open access software packages that allow researchers and practitioners to easily simulate a feature extraction pipeline and conduct experiments in a lab setting.
This talk introduces Fxt, an open-source framework to perform efficient and scalable feature extraction. Fxt may be integrated into complex, high-performance software applications to help solve a wide variety of text-based machine learning problems.
The talk details how we built and documented a reproducible feature extraction pipeline with LTR experiments using the ClueWeb09B collection.
This LTR dataset is publicly available.
We’ll also discuss some of the benefits (feature extraction efficiency, model interpretation) of having open access tooling in this area for researchers and practitioners alike.
Basic IO
The document discusses Java I/O streams and input/output. It introduces streams as an ordered sequence of data linked to a physical device. Streams can represent different sources and destinations like files, devices, networks. Input streams read data from a source while output streams write data to a destination. Byte streams handle bytes and character streams handle characters. Important stream classes include InputStream, OutputStream, Reader, and Writer. The System class defines predefined input, output, and error streams. Reading input involves wrapping System.in in a BufferedReader while writing uses PrintStream.
C# 3.0 and LINQ Tech Talk
Older (2008) presentation I gave internally to SunGard to educate developers on C# and LINQ. LINQ still rocks, and the concepts I cover are important language features while C# developers should be asked in interviews event today.
Ijert semi 1
The document discusses fuzzy type-ahead search techniques for XML data. It describes how traditional XML query techniques like XPath and XQuery can be complex for users. It then discusses fuzzy search methods like the minimum cost tree approach and LCA-based interactive search that allow for approximate keyword matching. The paper also proposes using exclusive LCA and effective indexing and ranking algorithms to efficiently identify the top-k most relevant answers to a fuzzy keyword query in an XML document.
Answer ado.net pre-exam2018
ADO.NET is a data access technology from Microsoft that provides communication between relational and non-relational systems through common components. It allows programs written in different languages to share classes and uses object-oriented programming principles. Key classes in ADO.NET include Connection, which controls connections to databases, and Dataset, which offers common functions for metadata. Serialization converts objects to bytes for storage or transmission, while deserialization reconstructs objects from data.
Unit 3 principles of programming language
The document discusses concepts related to sequence control and subprograms in programming languages. It covers conditional statements, loops, exception handling, subprogram definition and activation, and subprogram environments. Key points include implicit and explicit sequence control using statements, precedence and associativity rules for expressions, stack-based implementation of subprogram calls, and static versus dynamic scoping of identifiers through referencing environments.
What's hot (17)
Haystack London - Search Quality Evaluation, Tools and Techniques
Haystack London - Search Quality Evaluation, Tools and Techniques
Intelligent query converter a domain independent interfacefor conversion
Intelligent query converter a domain independent interfacefor conversion
Rated Ranking Evaluator (RRE) Hands-on Relevance Testing @Chorus
Rated Ranking Evaluator (RRE) Hands-on Relevance Testing @Chorus
Feature Extraction for Large-Scale Text Collections
Feature Extraction for Large-Scale Text Collections
Similar to Information Extraction from HTML: General Machine Learning ...
Sedna XML Database: Query Parser & Optimizing Rewriter
The document discusses Sedna, an XML query parser and optimizer. It describes:
1) The goals of supporting a wide range of queries while achieving high performance.
2) The query processing steps of parsing, analysis, optimization, and physical plan generation.
3) The optimizing rewriter removes unnecessary operations through rewriting rules like combining // steps or removing duplicate nodes.
ArtForm - Dynamic analysis of JavaScript validation in web forms - Poster
ArtForm is a tool that uses concolic analysis and symbolic execution to dynamically analyze JavaScript validation in web forms. It infers integrity constraints, models hidden data, and improves search and data extraction. It works by controlling a WebKit browser to execute code symbolically while tracking concrete and symbolic values. Challenges include event handler dependencies, implied constraints, and JavaScript semantics that are difficult to model. Future work focuses on handling more patterns and constraints and targeting exploration of interesting parts of form trees.
ASP.NET 3.5 SP1
The document summarizes new features in .NET 3.5 SP1, including enhancements to ADO.NET Entity Framework, ADO.NET Data Services, ASP.NET routing, and ASP.NET dynamic data. It provides an overview and demonstrations of each technology. Key points covered include using Entity Framework to bridge the gap between object-oriented and relational models, consuming entity data models via LINQ queries or object services, and using data services to expose data over HTTP in a RESTful manner.
Linq To The Enterprise
The document provides a biography and background information on Daniel N. Egan, including his roles as a Microsoft Regional Director, Microsoft MVP for ASP.Net, author, and speaker. It then outlines the topics to be covered in the presentation, including object relational mappers, language enhancements in C# and VB.Net, LINQ goals, fundamentals and usage.
Linq 1224887336792847 9
The document provides an overview of Daniel Egan's professional experience including his roles as a Microsoft Regional Director, Microsoft MVP for ASP.Net, Chief Architect at Odyssey Consulting Group, author, instructor, and his involvement with various .Net user groups. It then outlines topics to be covered including object relational mappers, language enhancements in VB.Net and C# 3.0, LINQ and LINQ to SQL.
QER : query entity recognition
This document discusses query entity recognition (QER), which seeks to locate and classify elements in text queries into predefined categories like names, organizations, locations, etc. It describes challenges like differentiating similar entities and balancing free text for training. The document outlines approaches to QER like string matching, probabilistic shallow parsing using conditional random fields, and a hybrid method. It provides details on the features of the QER system, such as processing speed, integration formats, and evaluation metrics. Future directions are mentioned, like expanding QER into a complete query dynamics system.
Dare to build vertical design with relational data (Entity-Attribute-Value)
Entity-Attribute-Value model is often called “anti-pattern” by the criticism. And probably they would be right if one misses to read the “Handle with Care” label on it. Enthusiastic inexperienced developers would easily compromise the benefits of relational DB but the coin has yet another side. Hierarchical object with thousands of properties, unknown schema, flexibility and millions of records. As always – we have to sacrifice one thing in order to win another. Then all it comes to priorities and ability for decision making. At this lecture you will not get a step-by-step manual but instead get ideas for how to build one for you. A challenge, a proof of concept, hard work and successful project for millions – that is the story to share.
L2s 090701234157 Phpapp02
The document discusses the impedance mismatch between object-oriented programming and relational databases. It notes key differences in their type systems, architectural styles, structural relationships, identity constructs, transaction boundaries, and query capabilities. Object-relational mapping (ORM) is introduced as a technique for converting between incompatible data types in databases and object-oriented languages. LINQ provides language-integrated querying for relational data through DLINQ, mapping tables to classes and allowing queries over strongly-typed results.
Introduction to Software - Coder Forge - John Mulhall
An introduction to software for Coder Forge on 27th April covering common terms, OOP and programming tips
Building nTier Applications with Entity Framework Services (Part 1)
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated. Lots of code! Make sure to attend Part 2.
Day5
This document discusses business logic layers and object-oriented design patterns. It begins by explaining what a business logic layer is and provides examples of services, entities, and rules/calculations. It then covers different patterns for structuring business logic, including procedure pattern, table module pattern, and object-based patterns like active record and domain model. Key differences between the patterns are explained. The remainder of the document dives deeper into object-oriented design patterns, categorizing them as creational, structural, and behavioral patterns. Examples are provided for factory, singleton, decorator, proxy, adapter, facade, strategy, and chain of responsibility patterns. Polymorphism and its importance to design patterns is also discussed.
Building nTier Applications with Entity Framework Services (Part 1)
Learn how to build real world nTier applications with the new Entity Framework and related services. With this new technology built into .NET, you can easily wrap an object model around your database and have all the data access automatically generated or use your own stored procedures and views. The session will demonstrate how to create and consume these new technologies from the ground up and focus on database modeling including views and stored procedures along with coding against the model via LINQ. Dynamic data website will also be demonstrated.
Chris Fregly, Research Scientist, PipelineIO at MLconf ATL 2016
Comparing TensorFlow NLP Options: word2Vec, gloVe, RNN/LSTM, SyntaxNet, and Penn Treebank: Through code samples and demos, we’ll compare the architectures and algorithms of the various TensorFlow NLP options. We’ll explore both feed-forward and recurrent neural networks such as word2vec, gloVe, RNN/LSTM, SyntaxNet, and Penn Treebank using the latest TensorFlow libraries.
Atlanta MLconf Machine Learning Conference 09-23-2016
Atlanta MLconf Machine Learning Conference 09-23-2016
Tensorflow + NLP + RNN + LSTM + SyntaxNet + Parsey McParseface + word2vec + GloVe + Penn Treebank
Backend Development - Django
This document provides information about Django and Python web development. It discusses why Django is a good framework, its main features like templating, ORM, routing, and authentication. It also mentions some disadvantages and popular sites built with Django. It provides tips for programming with Django like using environment variables, writing tests, and continuous integration. Finally, it discusses scheduling jobs with Redis Queue and answers questions about the Django admin, complex queries, optimizations, and code reviews.
Project Presentation
The document summarizes a graduate student's project using support vector machines (SVM) for transductive learning to classify RNA-related biological abstracts. The student collected a corpus of 400 abstracts categorized into RNA-related and non-RNA-related groups. Software was developed to preprocess the abstracts, extract features, generate training and test sets for SVM Light, and test its ability to classify abstracts into different RNA categories like mRNA, tRNA, etc. The goal was to improve on keyword searches by using a small number of training examples from a specific dataset to maximize classification precision for that set.
Natural Language to SQL Query conversion using Machine Learning Techniques on...
Presented at the RV College of Engineering Multidisciplinary Trends in Information Technology, July 21 - 25, 2020.
Cdao Evolution08
This presentation gives a brief introduction to the comparative data analysis ontology. It was presented at Evolution 08, June 2008
Introduction to odbms
Object-oriented databases (OODBMS) were developed to address limitations of the relational data model for representing complex real-world data. OODBs use objects with attributes and methods to model data, and support relationships like inheritance and containment between objects. They allow programming languages to represent data persistently in the database. However, OODBs have more limited query capabilities compared to relational databases.
Similar to Information Extraction from HTML: General Machine Learning ... (20)
Sedna XML Database: Query Parser & Optimizing Rewriter
Sedna XML Database: Query Parser & Optimizing Rewriter
ArtForm - Dynamic analysis of JavaScript validation in web forms - Poster
ArtForm - Dynamic analysis of JavaScript validation in web forms - Poster
Dare to build vertical design with relational data (Entity-Attribute-Value)
Dare to build vertical design with relational data (Entity-Attribute-Value)
Introduction to Software - Coder Forge - John Mulhall
Introduction to Software - Coder Forge - John Mulhall
Building nTier Applications with Entity Framework Services (Part 1)
Building nTier Applications with Entity Framework Services (Part 1)
Building nTier Applications with Entity Framework Services (Part 1)
Building nTier Applications with Entity Framework Services (Part 1)
Chris Fregly, Research Scientist, PipelineIO at MLconf ATL 2016
Chris Fregly, Research Scientist, PipelineIO at MLconf ATL 2016
Atlanta MLconf Machine Learning Conference 09-23-2016
Atlanta MLconf Machine Learning Conference 09-23-2016
Natural Language to SQL Query conversion using Machine Learning Techniques on...
Natural Language to SQL Query conversion using Machine Learning Techniques on...
More from butest
EL MODELO DE NEGOCIO DE YOUTUBE
Este documento analiza el modelo de negocio de YouTube. Explica que YouTube y otros sitios de video online representan un nuevo modelo de negocio para contenidos audiovisuales debido al cambio en los hábitos de consumo causado por las nuevas tecnologías. Describe cómo YouTube aprovecha la participación de los usuarios para mejorar continuamente y atraer una audiencia diferente a la de los medios tradicionales.
LESSONS FROM THE MICHAEL JACKSON TRIAL
The defense was successful in portraying Michael Jackson favorably to the jury in several ways:
1) They dressed Jackson in ornate costumes that conveyed images of purity, innocence, and humility.
2) Jackson was shown entering the courtroom as if on a red carpet, emphasizing his celebrity status.
3) Jackson appeared vulnerable, childlike, and in declining health during the trial, eliciting sympathy from jurors.
4) Defense attorney Tom Mesereau effectively presented a coherent narrative of Jackson as a victim and portrayed Neverland as a place of refuge, undermining the prosecution's arguments.
Timeline: The Life of Michael Jackson
Michael Jackson was born in 1958 in Gary, Indiana and rose to fame in the 1960s as the lead singer of The Jackson 5, topping music charts in the 1970s. As a solo artist in the 1980s, his album Thriller broke music records. In the 1990s and 2000s, Jackson faced several legal issues related to child abuse allegations while continuing to release music. He married Lisa Marie Presley and Debbie Rowe and had two children before his death in 2009.
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
This document appears to be a list of popular books from various authors. It includes over 150 book titles across many genres such as fiction, non-fiction, memoirs, and novels. The books cover a wide range of topics from politics to cooking to autobiographies.
LESSONS FROM THE MICHAEL JACKSON TRIAL
The prosecution lost the Michael Jackson trial due to several key mistakes and weaknesses in their case:
1) The lead prosecutor, Thomas Sneddon, was too personally invested in the case against Jackson, having pursued him for over a decade without success.
2) Sneddon's opening statement was disorganized and weak, failing to effectively outline the prosecution's case.
3) The accuser's mother was not credible and damaged the prosecution's case through her erratic testimony, history of lies and con artist behavior.
4) Many prosecution witnesses were not credible due to prior lawsuits against Jackson, debts owed to him, or having been fired by him. Several witnesses even took the Fifth Amendment.
Com 380, Summer II
Here are three examples of public relations from around the world:
1. The UK government's "Be Clear on Cancer" campaign which aims to raise awareness of cancer symptoms and encourage early diagnosis.
2. Samsung's global brand marketing and sponsorship activities which aim to increase brand awareness and favorability of Samsung products worldwide.
3. The Brazilian government's efforts to improve its international image and relations with other countries through strategic communication and diplomacy.
The three most important functions of public relations are:
1. Media relations because the media is how most organizations reach their key audiences. Strong media relationships are crucial.
2. Writing, because written communication is at the core of public relations and how most information is
PPT
Michael Jackson Please Wait... provides biographical information about Michael Jackson including his birthdate, birthplace, parents, height, interests, idols, favorite foods, films, and more. It discusses his background, career highlights including influential albums like Thriller, and films he appeared in such as The Wiz and Moonwalker. The document contains photos and details about Jackson's life and illustrious music career.
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The document discusses the process of manufacturing celebrity and its negative byproducts. It argues that celebrities are rarely the best in their individual pursuits like singing, dancing, etc. but become famous due to being products of a system controlled by wealthy elites. This system stifles opportunities for worthy artists and creates feudalism. The document also asserts that manufactured celebrities should not be viewed as role models due to behaviors like drug abuse and narcissism that result from the celebrity-making process.
MICHAEL JACKSON.doc
Michael Jackson was a child star who rose to fame with the Jackson 5 in the late 1960s and early 1970s. As a solo artist in the 1970s and 1980s, he had immense commercial success with albums like Off the Wall, Thriller, and Bad, which featured hit singles and groundbreaking music videos. However, his career and public image were plagued by controversies related to allegations of child sexual abuse in the 1990s and 2000s. He continued recording and performing but faced ongoing media scrutiny into his private life until his death in 2009.
Social Networks: Twitter Facebook SL - Slide 1
The document discusses using social networking tools like Twitter and Facebook in K-12 education. Twitter allows students and teachers to share short updates and can be used to give parents a window into classroom activities. Facebook allows targeted advertising that could be used to promote educational activities. Both tools could help facilitate communication between schools and communities if used properly while managing privacy and security concerns.
Facebook
Facebook has over 300 million active users who log on daily, and allows brands to create public profile pages to interact with users. Pages are for brands and organizations only, while groups can be made by any user about any topic. Pages do not show admin names and have no limits on fans, while groups display admin names and are limited to 5,000 members. Content on pages should aim to provoke action from subscribers and establish a regular posting schedule using a conversational tone.
Executive Summary Hare Chevrolet is a General Motors dealership ...
Hare Chevrolet is a car dealership located in Noblesville, Indiana that has successfully used social media platforms like Twitter, Facebook, and YouTube to create a positive brand image. They invest significant time interacting directly with customers online to foster a sense of community rather than overtly advertising. As a result, Hare Chevrolet has built a large, engaged audience on social media and serves as a model for how brands can use online presences strategically.
Welcome to the Dougherty County Public Library's Facebook and ...
This document provides instructions for signing up for Facebook and Twitter accounts. It outlines the sign up process for both platforms, including filling out forms with name, email, password and other details. It describes how the platforms will then search for friends and suggest people to connect with. It also explains how to search for and follow the Dougherty County Public Library page on both Facebook and Twitter once signed up. The document concludes by thanking participants and providing a contact for any additional questions.
NEWS ANNOUNCEMENT
Paragon Software announces the release of Paragon NTFS for Mac OS X 8.0, which provides full read and write access to NTFS partitions on Macs. It is the fastest NTFS driver on the market, achieving speeds comparable to native Mac file systems. Paragon NTFS for Mac 8.0 fully supports the latest Mac OS X Snow Leopard operating system in 64-bit mode and allows easy transfer of files between Windows and Mac partitions without additional hardware or software.
C-2100 Ultra Zoom.doc
This document provides compatibility information for Olympus digital products used with Macintosh OS X. It lists various digital cameras, photo printers, voice recorders, and accessories along with their connection type and any notes on compatibility. Some products require booting into OS 9.1 for software compatibility or do not support devices that need a serial port. Drivers and software are available for download from Olympus and other websites for many products to enable use with OS X.
MAC Printing on ITS Printers.doc.doc
To use printers managed by the university's Information Technology Services (ITS), students and faculty must install the ITS Remote Printing software on their Mac OS X computer. This allows them to add network printers, log in with their ITS account credentials, and print documents while being charged per page to funds in their pre-paid ITS account. The document provides step-by-step instructions for installing the software, adding a network printer, and printing to that printer from any internet connection on or off campus. It also explains the pay-in-advance printing payment system and how to check printing charges.
Mac OS X Guide.doc
The document provides an overview of the Mac OS X user interface for beginners, including descriptions of the desktop, login screen, desktop elements like the dock and hard disk, and how to perform common tasks like opening files and folders. It also addresses frequently asked questions for Windows users switching to Mac OS X, such as where documents are stored, how to save or find documents, and what the equivalent of the C: drive is in Mac OS X. The document concludes with sections on file management tasks like creating and deleting folders, organizing files within applications, using Spotlight search, and an overview of the Dashboard feature.
hier
This document provides a checklist for securing Mac OS X version 10.5, focusing on hardening the operating system, securing user accounts and administrator accounts, enabling file encryption and permissions, implementing intrusion detection, and maintaining password security. It describes the Unix infrastructure and security framework that Mac OS X is built on, leveraging open source software and following the Common Data Security Architecture model. The checklist can be used to audit a system or harden it against security threats.
WEB DESIGN!
This document summarizes a course on web design that was piloted in the summer of 2003. The course was a 3 credit course that met 4 times a week for lectures and labs. It covered topics such as XHTML, CSS, JavaScript, Photoshop, and building a basic website. 18 students from various majors enrolled. Student and instructor evaluations found the course to be very successful overall, though some improvements were suggested like ensuring proper software and pairing programming/non-programming students. The document also discusses implications of incorporating web design material into existing computer science curriculums.
More from butest (20)
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
Popular Reading Last Updated April 1, 2010 Adams, Lorraine The ...
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
The MYnstrel Free Press Volume 2: Economic Struggles, Meet Jazz
Executive Summary Hare Chevrolet is a General Motors dealership ...
Executive Summary Hare Chevrolet is a General Motors dealership ...
Welcome to the Dougherty County Public Library's Facebook and ...
Welcome to the Dougherty County Public Library's Facebook and ...
Information Extraction from HTML: General Machine Learning ...
- 1. Information Extraction from HTML: General Machine Learning Approach Using SRV
- 12. Generation and Validation (SRV)
- 15. Results (One-Per-Document) The system only has to return one prediction despite having more than one result – just return the prediction with the highest confidence.
- 16. Results (Many-Per-Document) More difficult task, as when multiple possibilities are found, you have to return all of them.
- 17. Baseline Approach Comparison A simple memorizing agent