The document discusses deep parsing and the parsing process. It describes parsing a sample sentence by highlighting its structural components, part-of-speech tags, and tokens. It also covers extracting segments, creating a semantic chain, normalizing the chain, and adding additional semantic context. The goal is to compare the semantic chain to the parse tree structure.
English Grammar Lecture 13: The Object Complement PatternsEd McCorduck
Video version of "The Object Complement Patterns" lecture I delivered in my English 402--Grammar course at the State University of New York College at Cortland.
English Grammar Lecture 6: Verb Patterns and the "Be" PatternsEd McCorduck
The "Verb Patterns and the 'Be' Patterns" lecture I delivered in my English 402--Grammar course at the State University of New York College at Cortland.
English Grammar Lecture 13: The Object Complement PatternsEd McCorduck
Video version of "The Object Complement Patterns" lecture I delivered in my English 402--Grammar course at the State University of New York College at Cortland.
English Grammar Lecture 6: Verb Patterns and the "Be" PatternsEd McCorduck
The "Verb Patterns and the 'Be' Patterns" lecture I delivered in my English 402--Grammar course at the State University of New York College at Cortland.
Publishing Python to PyPI using Github Actions.pptxCraig Trim
This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It's a practical walkthrough for developers on automating the release process of their Python packages. You'll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub's tools for continuous integration and deployment.
SAS University Edition - Getting StartedCraig Trim
Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules.
Octave - Prototyping Machine Learning AlgorithmsCraig Trim
Octave is a high-level language suitable for prototyping learning algorithms.
Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years.
There are many words in english that end with the suffix "-nym" or "-nymy". This comes from the ancient Greek ὄνυμα, meaning "name" or "word", and could even be loosely translated as "state of being".
A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former.
This is not a complete list of all Onoma. In many respects, the class of words ending with "-nym" could be considered open. Neologism (the type of words belonging to the class "neonym") can be easily created to describe any category for any entity type.
The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied?
RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation.
An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Publishing Python to PyPI using Github Actions.pptxCraig Trim
This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It's a practical walkthrough for developers on automating the release process of their Python packages. You'll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub's tools for continuous integration and deployment.
SAS University Edition - Getting StartedCraig Trim
Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules.
Octave - Prototyping Machine Learning AlgorithmsCraig Trim
Octave is a high-level language suitable for prototyping learning algorithms.
Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years.
There are many words in english that end with the suffix "-nym" or "-nymy". This comes from the ancient Greek ὄνυμα, meaning "name" or "word", and could even be loosely translated as "state of being".
A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former.
This is not a complete list of all Onoma. In many respects, the class of words ending with "-nym" could be considered open. Neologism (the type of words belonging to the class "neonym") can be easily created to describe any category for any entity type.
The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied?
RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation.
An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
What you have here are 2 triples connected together; a semantic chain.
Don’t look at this diagram with the mis-conception that an ontology is a taxonomy or directed tree. It’s not. It’s a cyclic network. We do seem to have Software as a root node with most relationships flowing up to the parent. However, in real life, the extracted semantic chain would be one small connection in the midst of an innumerable number of nodes, some in clusters, some in sequences, some apparently random, but all connected and sometimes having multiple connections between 2 nodes and so on.
… . Now, you’ve been a good audience. Thank you. Let’s look at some real code and a real process. < CLICK > (END PRESENTATION AND GO TO PART 2)
< CLICK > The first step is to pre-process the input. Pre-processing means we might add or remove tokens, most often punctuation, but we could make other additions. Some degree of normalization might occur here – for example an acronym that is spelled “I.B.M.” might be normalized to “IBM” or “U.S.A” to “USA”. Pattern reduction is a type of normalization – it provides a higher degree of uniformity on user input and makes the job of parsing and downstream processing easier. There are simply less variations to account for. However, we generally want to keep pre-processing short and sweet, depending on the needs of our applicatoin. By pre-processing we do have a tendency to lose the “user-speak”; that is, how a user might choose to refer to an entity or employ nuanced constructions. Also, too much normalization can lead to inaccurate results in the parser. We don’t lose anything by changing “I.B.M.” to “IBM”, but if we changed the inflected verb “installed” to the infinitive construction (also called cannonical form, normal form, or lemma) of “install” we lose the fact that the installation occurred in the past tense. < CLICK > Performing lemmatization at this stage may be appropriate for some applications, but in the main, nuanced speech leads to more accurate parsing results, which in turns leads to higher precision in extracting information of interest. Lemmatization is typically performed in the stage that follows parsing, the post processing stage. < CLICK >. Post processing is really an abstraction of many many many services – services that perform not only lemmatization (which is conceptually trivial), but semantic interpolation – the adding of additional meaning to the parse tree, as we saw on previous slides. < CLICK >
However, at a high level, this is what happens. The input is pre-processed, parsed, and post-processed. < CLICK >
Let’s add a little more context. The user provides input, the input is received, goes through the process we just talked about, and the insight (hopefully there is some) is provided back to the user. The important thing on this diagram is the “Intermediate Form”. How is the user input represented as it flows through this process? At its simplest, a data transfer object msut exist tha represents the initial input as a String, converts the String into an array of tokens, parses the tokens and stores the structured parse results, and has a mechanism for allowing the structurd output to be enhanced (or simplified) through a number of services, and finally for additional context to be applied and brought to bear upon these results. The design for intermediate representation lies at the heart of every parsing strategy. There are multiple strategies available today. These may vary by architecture, design principle or needs of the application. A parsing strategy that only leverages part of speech tagging is not likely to require a mechanism for storing deep parse results and the additional complexity this incurs. On the other hand, an architecture that can allow a parsing process the simplicity of a few steps, or the complexity of several hundred steps, and be customized without compromise to original design principles is of the most value. Of the many architectures that exist, there are yet many that are this well designed. Ultimiately the strategy you choose will be based on a variety of factors. I do identify this choice as being one of the the most important considerations in the parsing process.