- Multilingual mathematics aims to express mathematics in multiple languages to preserve cultural diversity and support linguistic minorities.
- The WebALT project developed tools for automatic generation of multilingual word problems from their underlying mathematical representations.
- These tools include a natural language generation service that can render well-formed mathematical sentences into different languages based on formal grammars.
In this talk I intend to review some basic and high-level concepts like formal languages, grammars and ontologies. Languages to transmit knowledge from a sender to a receiver; grammars to formally specify languages; ontologies as formals specifications of specific knowledge domains. After this introductory revision, enhancing the role of each of those elements in the context of computer-based problem solving (programming), I will talk about a project aimed at automatically infer and generate a Grammar for a Domain Specific Language (DSL) from a given ontology that describes this specific domain. The transformation rules will be presented and the system, Onto2Gra, that fully implements that "Ontological approach for DSL development" will be introduced.
This document provides an introduction to object-oriented programming concepts using C++. It defines key OOP concepts like classes, objects, encapsulation, inheritance and polymorphism. It explains that classes define the data and behaviors of objects. Objects are instances of classes that occupy memory. Encapsulation binds data and code into a single unit, while inheritance allows classes to inherit characteristics from other classes. Polymorphism allows different objects to respond to the same message differently. The document also gives examples of classes like Animals and provides code snippets to demonstrate classes in C++.
This document describes a Synchronized Alternating Pushdown Automaton (SAPDA) that accepts the language of reduplication with a center marker (RCM). The SAPDA utilizes recursive conjunctive transitions to check that the nth letter before the center marker '$' is the same as the nth letter from the end of the string, for all letters n. This allows the SAPDA to accept strings of the form w$w, where w is any string over the alphabet {a,b}. The construction of the SAPDA involves states that check specific letters at specific positions relative to the center marker.
This document discusses contextual word embeddings and how they address the limitations of context-free word embeddings. It begins by explaining that context-free word embeddings cannot model polysemy since words have the same embedding regardless of context. It then introduces contextual word embeddings as a solution, discussing early approaches like CoVe and ELMo that learn contextual embeddings from language models. The document emphasizes that contextual embeddings allow words to have different representations depending on the surrounding context.
This document provides a summary of Valeria de Paiva's career and research interests. It includes:
- Her educational background which includes a PhD from the University of Cambridge in Dialectica Categories.
- Her professional experience including positions at the University of Birmingham, NLTT, PowerSet, Cuil, and currently at Nuance Communications.
- An overview of her research areas such as linear logic, functional programming, natural language processing, and combining symbolic and machine learning methods.
- Her interest in building bridges between fields like logic, computing, linguistics and category theory and applying these approaches to problems in areas like automated reasoning and natural language understanding.
Connectionist language models offer many advantages over their statistical counterparts, but they also have some drawbacks like a much more expensive computational cost. This paper describes a novel method to overcome this problem. A set of normalization values associated to the most frequent N-grams is pre-computed and the model is smoothed with lower N-gram connectionist or statistical models. The
proposed approach is favourably compared to standard connectionist language models and with statistical back-off language models.
This document summarizes the agenda and key topics for a CIS 890 project final presentation on topics modelling with LDA. The presentation will cover LDA modelling, HMMLDA modelling, LDA with collocations modelling, and experimental results on the NIPS collection. It will discuss topic modelling approaches like LDA, discriminative vs generative methods, and limitations of bag-of-words assumptions.
- Multilingual mathematics aims to express mathematics in multiple languages to preserve cultural diversity and support linguistic minorities.
- The WebALT project developed tools for automatic generation of multilingual word problems from their underlying mathematical representations.
- These tools include a natural language generation service that can render well-formed mathematical sentences into different languages based on formal grammars.
In this talk I intend to review some basic and high-level concepts like formal languages, grammars and ontologies. Languages to transmit knowledge from a sender to a receiver; grammars to formally specify languages; ontologies as formals specifications of specific knowledge domains. After this introductory revision, enhancing the role of each of those elements in the context of computer-based problem solving (programming), I will talk about a project aimed at automatically infer and generate a Grammar for a Domain Specific Language (DSL) from a given ontology that describes this specific domain. The transformation rules will be presented and the system, Onto2Gra, that fully implements that "Ontological approach for DSL development" will be introduced.
This document provides an introduction to object-oriented programming concepts using C++. It defines key OOP concepts like classes, objects, encapsulation, inheritance and polymorphism. It explains that classes define the data and behaviors of objects. Objects are instances of classes that occupy memory. Encapsulation binds data and code into a single unit, while inheritance allows classes to inherit characteristics from other classes. Polymorphism allows different objects to respond to the same message differently. The document also gives examples of classes like Animals and provides code snippets to demonstrate classes in C++.
This document describes a Synchronized Alternating Pushdown Automaton (SAPDA) that accepts the language of reduplication with a center marker (RCM). The SAPDA utilizes recursive conjunctive transitions to check that the nth letter before the center marker '$' is the same as the nth letter from the end of the string, for all letters n. This allows the SAPDA to accept strings of the form w$w, where w is any string over the alphabet {a,b}. The construction of the SAPDA involves states that check specific letters at specific positions relative to the center marker.
This document discusses contextual word embeddings and how they address the limitations of context-free word embeddings. It begins by explaining that context-free word embeddings cannot model polysemy since words have the same embedding regardless of context. It then introduces contextual word embeddings as a solution, discussing early approaches like CoVe and ELMo that learn contextual embeddings from language models. The document emphasizes that contextual embeddings allow words to have different representations depending on the surrounding context.
This document provides a summary of Valeria de Paiva's career and research interests. It includes:
- Her educational background which includes a PhD from the University of Cambridge in Dialectica Categories.
- Her professional experience including positions at the University of Birmingham, NLTT, PowerSet, Cuil, and currently at Nuance Communications.
- An overview of her research areas such as linear logic, functional programming, natural language processing, and combining symbolic and machine learning methods.
- Her interest in building bridges between fields like logic, computing, linguistics and category theory and applying these approaches to problems in areas like automated reasoning and natural language understanding.
Connectionist language models offer many advantages over their statistical counterparts, but they also have some drawbacks like a much more expensive computational cost. This paper describes a novel method to overcome this problem. A set of normalization values associated to the most frequent N-grams is pre-computed and the model is smoothed with lower N-gram connectionist or statistical models. The
proposed approach is favourably compared to standard connectionist language models and with statistical back-off language models.
This document summarizes the agenda and key topics for a CIS 890 project final presentation on topics modelling with LDA. The presentation will cover LDA modelling, HMMLDA modelling, LDA with collocations modelling, and experimental results on the NIPS collection. It will discuss topic modelling approaches like LDA, discriminative vs generative methods, and limitations of bag-of-words assumptions.
Towards Self-explanatory Ontology Visualization with Contextual VerbalizationNormunds Grūzītis
- The document describes an approach to combine ontology visualization using graphical notation with contextual verbalization in controlled natural language.
- It uses the OWLGrEd editor and notation, which maps ontology axioms to graphical elements, and integrates a verbalizer to generate explanations of axioms related to selected elements in multiple languages like English and Latvian.
- This allows users to understand ontology structures and restrictions from diagrams while getting contextual explanations in readable controlled natural language without learning a new notation.
This document presents Compositional Programming (CP), a new statically-typed modular programming style that solves the Expression Problem and allows programs with complex dependencies to be designed modularly. CP is elaborated into Fi+, a calculus supporting features like disjoint intersection types. Case studies on attribute grammars, a prefix circuits DSL, mini interpreters and compilers show CP can modularly represent non-trivial language features and dependencies. Future work aims to expand CP's expressiveness with features like recursive types and mutable states.
presentation of papers
Maxime Lefrançois, Romain Gugert, Fabien Gandon et al. (2013) Application of the Unit Graphs Framework to Lexicographic Definitions in the RELIEF project. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
and
Maxime Lefrançois, Fabien Gandon (2013) The Unit Graphs Framework: A graph-based Knowledge Representation Formalism designed for the Meaning-Text Theory. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
This document discusses Latent Dirichlet Allocation (LDA), a probabilistic topic modeling technique. It begins with an introduction to topic models and their use in understanding large collections of documents. It then describes LDA's generative process using Dirichlet distributions to represent document-topic and topic-term distributions. Approximate inference methods for LDA like Gibbs sampling are also summarized. The document concludes by outlining the implementation of an LDA model, including preprocessing of documents and collapsed Gibbs sampling.
The document discusses the history and development of modal and intuitionistic logics. It covers key figures like Frege, Hilbert, Gentzen, Prawitz, Martin-Löf, and Girard and how their work contributed to logic systems. It also discusses more recent work on constructive modal logics by researchers like Nerode, Simpson, and the Intuitionistic Modal Logic and Applications community. The document examines challenges in developing intuitionistic modal logics and potential solutions using category theory and modal cubes. It notes the importance of modal logic due to its applications in formal methods and computing.
An Approach to Automated Learning of Conceptual Graphs from TextFulvio Rotella
Many document collections are private and accessible only by selected people. Especially in business realities, such collections need to be managed, and the use of an external taxonomic or ontological resource would be very useful. Unfortunately, very often domain-specific resources are not available, and the development of techniques that do not rely on external resources becomes essential.
Automated learning of conceptual graphs from restricted collections needs to be robust with respect to missing or partial knowledge, that does not allow to extract a full conceptual graph and only provides sparse fragments thereof. This work proposes a way to deal with these problems applying relational clustering and generalization methods. While clustering collects similar concepts, generalization provides additional nodes that can bridge separate pieces of the graph while expressing it at a higher level of abstraction. In this process, considering relational information allows a broader perspective in the similarity assessment for clustering, and ensures more flexible and understandable descriptions of the generalized concepts. The final conceptual graph can be used for better analyzing and understanding the collection, and for performing some kind of reasoning on it.
A Neural Probabilistic Language Model_v2Jisoo Jang
This document discusses neural probabilistic language modeling. It introduces the fundamental problem of language modeling as the curse of dimensionality when using discrete spaces to model language. It then describes statistical language models like n-gram models that estimate the conditional probability of the next word. However, these models have limitations like not handling long-term dependencies beyond 1-2 words. The document proposes a neural probabilistic language model that learns distributed word embeddings to represent words in a continuous vector space. It models the joint probability of word sequences using these embeddings and a neural network, learning the embeddings and probability function simultaneously.
Student X needs to transform 200 data files into plain text files but does not know how to write a program to automate this task. Student Y inherited a C program from another student but views it as a "black box" and wants to avoid changing or extending its implementation. The document argues that students need to learn how to read, understand, test, and modify programs, rather than viewing them as impenetrable boxes. It advocates teaching students modern scripting languages that are interpreted and easier to work with interactively in order to improve programming skills and encourage experimentation with ideas.
18 css101j pps unit 1
Evolution of Programming & Languages - Problem Solving through Programming - Creating Algorithms - Drawing Flowcharts - Writing Pseudocode - Evolution of C language, its usage history - Input and output functions: Printf and scanf - Variables and identifiers – Expressions - Single line and multiline comments - Constants, Keywords - Values, Names, Scope, Binding, Storage Classes - Numeric Data types: integer - floating point - Non-Numeric Data types: char and string - Increment and decrement operator - Comma, Arrow and Assignment operator - Bitwise and Sizeof operator
The document discusses several key aspects of programming languages including:
1) There is amazing variety across languages with over 2300 published languages grouped into four main families: imperative, functional, logic, and object-oriented.
2) Programming languages are the subject of ongoing debates around their relative merits and definitions.
3) Languages are constantly evolving as new ideas are introduced and older languages develop new dialects.
4) Languages influence programming practices but programmers can also work against a language's favored style.
A Strong Object Recognition Using Lbp, Ltp And RlbpRikki Wright
This document discusses the evolution of object-oriented technology and languages. It notes that many object-oriented languages have emerged but companies commonly use open source OO languages like Java, C++, C# and Visual Basic due to their low or no licensing costs. These languages also have readily available libraries and development resources. The history of object-oriented concepts is traced back to Simula 67 and Smalltalk in the 1960s-70s, which introduced key ideas like classes, objects, inheritance and polymorphism. Exponential growth has occurred as more systems adopt object-oriented technologies.
The document discusses the use of technology in language classrooms. It describes how computer-mediated language learning (CALL) emerged in the 1980s using computer programs for exercises and feedback. Technology-enhanced language learning (TELL) developed in the 1990s with the rise of the internet and web-based tools. Basic uses of technology included computer rooms for projects, CD-ROMs for group work, and email/word processing for assignments. Newer technologies support oral interaction through video chat, simulated environments for identity exploration, and written interactions through messaging and chat rooms. Technologies also aid pronunciation practice, reading with multimedia supports, and writing through discussion forums, blogs and wikis. Effective implementation considers teacher skills, facilities, and using the
Deep Learning for Machine Translation - A dramatic turn of paradigmMeetupDataScienceRoma
Presentazione al Meetup di Marzo del Machine Learning / Data Science Meetup di Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/248063386/
How to make mathematical eContent travel wellOlga Caprotti
Electronic resources, that is eContent, produced for education ‘’travels well’’ when it can be reused across national borders and in different curricular frameworks. In this talk, we discuss what features of mathematical eContent contribute to making it travel well. In particular, we will talk about semantic markup such as Content MathML and OpenMath, and about metadata descriptions of the learning resources. We will look into ways of producing mathematical eContent and how it can be converted to ad-hoc formats, including those that are accessible.
Read more at http://www.jem-thematic.net/en/node/1298
Publication_details: ICTCM 2009, New Orleans.
Author(s): O. Caprotti, M. Seppälä, M. Pauna
Type: Slide presentation
Date: 2009/03/14
The paper presents a neural probabilistic language model that overcomes the curse of dimensionality in probabilistic language modeling. It develops a neural network model with distributed word representations as parameters to learn the probability of sequences. The model learns representations for each word and the probability function as a function of these representations using a hidden and softmax layer. This allows the model to estimate probabilities of unseen sequences during training by taking advantage of longer contexts through continuous representations.
The document summarizes trends and innovations in teaching theory of computation courses. It discusses the CS 2013 curriculum guidelines, importance of the course, reasons for student disinterest, and research on using tools and activities to improve learning. Examples include using software like JFLAP to demonstrate concepts, active learning activities in class, and assessment based on tutorials and presentations. The goal is to make the abstract concepts more concrete and engaging for students.
Portugol IDE is an environment for teaching and learning computer programming that was designed with education in mind. It allows students to write code using their native language syntax and features interactive help and graphical representations of concepts to aid learning. The latest version introduced new functionality like complex data structures, references, and functions. Future work includes adding external libraries, animating algorithms, supporting multiple languages, and integrating with e-learning platforms.
Logics and Ontologies for Portuguese UnderstandingValeria de Paiva
The document summarizes the development of logics and ontologies for Portuguese understanding. It discusses the PARC Bridge system from 1999-2008 as inspiration for the goals in 2010 to develop similar NLP components for Portuguese. It describes the creation of OpenWordNet-PT and NomLex-PT as key lexical resources, and their uses in applications like FreeLing and sentiment analysis. Issues with OpenWordNet-PT are noted along with ongoing efforts to expand and link it to other resources like NomLex-PT.
Multilingual Access to Cultural Heritage Content on the Semantic Web - Acl2013Mariana Damova, Ph.D
The document discusses building an ontology-based application to communicate museum content in multiple languages on the Semantic Web. It aims to make cultural heritage accessible to both humans and computers by generating natural language descriptions from semantic data. The application uses Grammatical Framework to linearly multiple museum datasets and ontologies into 15 languages. It addresses challenges in cross-linguistically representing classes, properties, word order, tense, and reference. The system was demonstrated to generate descriptions of paintings from the Louvre museum in English and French.
A Langauge of Patterns for Mathematical LearningYishay Mor
The document discusses design patterns for mathematical learning. It introduces the concept of design patterns that describe recurring solutions to common problems in a way that can be reused in different contexts. The document then provides examples of several design patterns for mathematical learning, including patterns related to mathematical game pieces, soft scaffolding, narrative spaces, objects to talk with, and streams. It aims to develop domain-specific theories to better understand the learning process through design-based research.
EdMedia2013 - Educational Impacts of the Intelligent Integrated Computer-Assi...Harald Wahl
The document discusses the Intelligent Integrated Computer-Assisted Language Learning (iiCALL) environment. It aims to improve language skills for specific contexts through an integrated e-learning system using resources from language corpora enriched with semantic information. The system architecture includes various platforms and uses natural language processing, a dynamic data model, and software framework. Research-based learning activities are designed to build knowledge and competencies in areas like requirements engineering, software design, and project management. Learning outcomes include knowledge of e-learning standards and skills like documentation and teamwork.
Towards Self-explanatory Ontology Visualization with Contextual VerbalizationNormunds Grūzītis
- The document describes an approach to combine ontology visualization using graphical notation with contextual verbalization in controlled natural language.
- It uses the OWLGrEd editor and notation, which maps ontology axioms to graphical elements, and integrates a verbalizer to generate explanations of axioms related to selected elements in multiple languages like English and Latvian.
- This allows users to understand ontology structures and restrictions from diagrams while getting contextual explanations in readable controlled natural language without learning a new notation.
This document presents Compositional Programming (CP), a new statically-typed modular programming style that solves the Expression Problem and allows programs with complex dependencies to be designed modularly. CP is elaborated into Fi+, a calculus supporting features like disjoint intersection types. Case studies on attribute grammars, a prefix circuits DSL, mini interpreters and compilers show CP can modularly represent non-trivial language features and dependencies. Future work aims to expand CP's expressiveness with features like recursive types and mutable states.
presentation of papers
Maxime Lefrançois, Romain Gugert, Fabien Gandon et al. (2013) Application of the Unit Graphs Framework to Lexicographic Definitions in the RELIEF project. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
and
Maxime Lefrançois, Fabien Gandon (2013) The Unit Graphs Framework: A graph-based Knowledge Representation Formalism designed for the Meaning-Text Theory. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
This document discusses Latent Dirichlet Allocation (LDA), a probabilistic topic modeling technique. It begins with an introduction to topic models and their use in understanding large collections of documents. It then describes LDA's generative process using Dirichlet distributions to represent document-topic and topic-term distributions. Approximate inference methods for LDA like Gibbs sampling are also summarized. The document concludes by outlining the implementation of an LDA model, including preprocessing of documents and collapsed Gibbs sampling.
The document discusses the history and development of modal and intuitionistic logics. It covers key figures like Frege, Hilbert, Gentzen, Prawitz, Martin-Löf, and Girard and how their work contributed to logic systems. It also discusses more recent work on constructive modal logics by researchers like Nerode, Simpson, and the Intuitionistic Modal Logic and Applications community. The document examines challenges in developing intuitionistic modal logics and potential solutions using category theory and modal cubes. It notes the importance of modal logic due to its applications in formal methods and computing.
An Approach to Automated Learning of Conceptual Graphs from TextFulvio Rotella
Many document collections are private and accessible only by selected people. Especially in business realities, such collections need to be managed, and the use of an external taxonomic or ontological resource would be very useful. Unfortunately, very often domain-specific resources are not available, and the development of techniques that do not rely on external resources becomes essential.
Automated learning of conceptual graphs from restricted collections needs to be robust with respect to missing or partial knowledge, that does not allow to extract a full conceptual graph and only provides sparse fragments thereof. This work proposes a way to deal with these problems applying relational clustering and generalization methods. While clustering collects similar concepts, generalization provides additional nodes that can bridge separate pieces of the graph while expressing it at a higher level of abstraction. In this process, considering relational information allows a broader perspective in the similarity assessment for clustering, and ensures more flexible and understandable descriptions of the generalized concepts. The final conceptual graph can be used for better analyzing and understanding the collection, and for performing some kind of reasoning on it.
A Neural Probabilistic Language Model_v2Jisoo Jang
This document discusses neural probabilistic language modeling. It introduces the fundamental problem of language modeling as the curse of dimensionality when using discrete spaces to model language. It then describes statistical language models like n-gram models that estimate the conditional probability of the next word. However, these models have limitations like not handling long-term dependencies beyond 1-2 words. The document proposes a neural probabilistic language model that learns distributed word embeddings to represent words in a continuous vector space. It models the joint probability of word sequences using these embeddings and a neural network, learning the embeddings and probability function simultaneously.
Student X needs to transform 200 data files into plain text files but does not know how to write a program to automate this task. Student Y inherited a C program from another student but views it as a "black box" and wants to avoid changing or extending its implementation. The document argues that students need to learn how to read, understand, test, and modify programs, rather than viewing them as impenetrable boxes. It advocates teaching students modern scripting languages that are interpreted and easier to work with interactively in order to improve programming skills and encourage experimentation with ideas.
18 css101j pps unit 1
Evolution of Programming & Languages - Problem Solving through Programming - Creating Algorithms - Drawing Flowcharts - Writing Pseudocode - Evolution of C language, its usage history - Input and output functions: Printf and scanf - Variables and identifiers – Expressions - Single line and multiline comments - Constants, Keywords - Values, Names, Scope, Binding, Storage Classes - Numeric Data types: integer - floating point - Non-Numeric Data types: char and string - Increment and decrement operator - Comma, Arrow and Assignment operator - Bitwise and Sizeof operator
The document discusses several key aspects of programming languages including:
1) There is amazing variety across languages with over 2300 published languages grouped into four main families: imperative, functional, logic, and object-oriented.
2) Programming languages are the subject of ongoing debates around their relative merits and definitions.
3) Languages are constantly evolving as new ideas are introduced and older languages develop new dialects.
4) Languages influence programming practices but programmers can also work against a language's favored style.
A Strong Object Recognition Using Lbp, Ltp And RlbpRikki Wright
This document discusses the evolution of object-oriented technology and languages. It notes that many object-oriented languages have emerged but companies commonly use open source OO languages like Java, C++, C# and Visual Basic due to their low or no licensing costs. These languages also have readily available libraries and development resources. The history of object-oriented concepts is traced back to Simula 67 and Smalltalk in the 1960s-70s, which introduced key ideas like classes, objects, inheritance and polymorphism. Exponential growth has occurred as more systems adopt object-oriented technologies.
The document discusses the use of technology in language classrooms. It describes how computer-mediated language learning (CALL) emerged in the 1980s using computer programs for exercises and feedback. Technology-enhanced language learning (TELL) developed in the 1990s with the rise of the internet and web-based tools. Basic uses of technology included computer rooms for projects, CD-ROMs for group work, and email/word processing for assignments. Newer technologies support oral interaction through video chat, simulated environments for identity exploration, and written interactions through messaging and chat rooms. Technologies also aid pronunciation practice, reading with multimedia supports, and writing through discussion forums, blogs and wikis. Effective implementation considers teacher skills, facilities, and using the
Deep Learning for Machine Translation - A dramatic turn of paradigmMeetupDataScienceRoma
Presentazione al Meetup di Marzo del Machine Learning / Data Science Meetup di Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/248063386/
How to make mathematical eContent travel wellOlga Caprotti
Electronic resources, that is eContent, produced for education ‘’travels well’’ when it can be reused across national borders and in different curricular frameworks. In this talk, we discuss what features of mathematical eContent contribute to making it travel well. In particular, we will talk about semantic markup such as Content MathML and OpenMath, and about metadata descriptions of the learning resources. We will look into ways of producing mathematical eContent and how it can be converted to ad-hoc formats, including those that are accessible.
Read more at http://www.jem-thematic.net/en/node/1298
Publication_details: ICTCM 2009, New Orleans.
Author(s): O. Caprotti, M. Seppälä, M. Pauna
Type: Slide presentation
Date: 2009/03/14
The paper presents a neural probabilistic language model that overcomes the curse of dimensionality in probabilistic language modeling. It develops a neural network model with distributed word representations as parameters to learn the probability of sequences. The model learns representations for each word and the probability function as a function of these representations using a hidden and softmax layer. This allows the model to estimate probabilities of unseen sequences during training by taking advantage of longer contexts through continuous representations.
The document summarizes trends and innovations in teaching theory of computation courses. It discusses the CS 2013 curriculum guidelines, importance of the course, reasons for student disinterest, and research on using tools and activities to improve learning. Examples include using software like JFLAP to demonstrate concepts, active learning activities in class, and assessment based on tutorials and presentations. The goal is to make the abstract concepts more concrete and engaging for students.
Portugol IDE is an environment for teaching and learning computer programming that was designed with education in mind. It allows students to write code using their native language syntax and features interactive help and graphical representations of concepts to aid learning. The latest version introduced new functionality like complex data structures, references, and functions. Future work includes adding external libraries, animating algorithms, supporting multiple languages, and integrating with e-learning platforms.
Logics and Ontologies for Portuguese UnderstandingValeria de Paiva
The document summarizes the development of logics and ontologies for Portuguese understanding. It discusses the PARC Bridge system from 1999-2008 as inspiration for the goals in 2010 to develop similar NLP components for Portuguese. It describes the creation of OpenWordNet-PT and NomLex-PT as key lexical resources, and their uses in applications like FreeLing and sentiment analysis. Issues with OpenWordNet-PT are noted along with ongoing efforts to expand and link it to other resources like NomLex-PT.
Multilingual Access to Cultural Heritage Content on the Semantic Web - Acl2013Mariana Damova, Ph.D
The document discusses building an ontology-based application to communicate museum content in multiple languages on the Semantic Web. It aims to make cultural heritage accessible to both humans and computers by generating natural language descriptions from semantic data. The application uses Grammatical Framework to linearly multiple museum datasets and ontologies into 15 languages. It addresses challenges in cross-linguistically representing classes, properties, word order, tense, and reference. The system was demonstrated to generate descriptions of paintings from the Louvre museum in English and French.
A Langauge of Patterns for Mathematical LearningYishay Mor
The document discusses design patterns for mathematical learning. It introduces the concept of design patterns that describe recurring solutions to common problems in a way that can be reused in different contexts. The document then provides examples of several design patterns for mathematical learning, including patterns related to mathematical game pieces, soft scaffolding, narrative spaces, objects to talk with, and streams. It aims to develop domain-specific theories to better understand the learning process through design-based research.
EdMedia2013 - Educational Impacts of the Intelligent Integrated Computer-Assi...Harald Wahl
The document discusses the Intelligent Integrated Computer-Assisted Language Learning (iiCALL) environment. It aims to improve language skills for specific contexts through an integrated e-learning system using resources from language corpora enriched with semantic information. The system architecture includes various platforms and uses natural language processing, a dynamic data model, and software framework. Research-based learning activities are designed to build knowledge and competencies in areas like requirements engineering, software design, and project management. Learning outcomes include knowledge of e-learning standards and skills like documentation and teamwork.
Peter Barendse is a software developer and technical communicator with over a decade of experience developing machine learning and mathematics capabilities for Wolfram Research. He has a Ph.D. in Mathematics from Boston University and has experience managing teams and teaching a variety of technical subjects. His work includes developing geographic visualization and fractal imaging functions in Mathematica, as well as natural language processing for math word problems on Wolfram|Alpha.
Unit 4 Assignment 1 Comparative Study Of Programming...Carmen Sanborn
- The goal is to design a new programming language by combining common qualities from two existing languages.
- When designing a new language, it is important to consider aspects like syntax, semantics, data types, control structures, modularity, and libraries/frameworks.
- The language design should aim to take useful features from other languages while avoiding their shortcomings to create a language that is efficient, readable, and meets modern programming needs.
OWLGrEd/CNL: a Graphical Editor for OWL with Multilingual CNL SupportNormunds Grūzītis
OWLGrEd/CNL is a graphical editor for the Web Ontology Language (OWL) that supports editing ontologies in multiple controlled natural languages (CNLs) like English and Latvian. It combines a graphical notation based on UML with CNL verbalizations to help understand and check ontology semantics. Axioms and class expressions are translated between OWL, Attempto Controlled English as an interlingua, and target CNLs using Grammatical Framework grammars. The tool allows verbalizing specific parts of an ontology or the whole ontology in different languages. Future work includes improved support for object and data properties in CNLs.
Object-oriented programming has its roots in SIMULA 67. Key aspects of OOP include abstract data types, inheritance, and dynamic binding. Java supports OOP through classes that are subclasses of the root class "Object" and utilize single inheritance. All Java objects are allocated dynamically on the heap using the "new" operator.
Similar to Advanced Language Technologies for Mathematical Markup (20)
This document discusses using Second Life for educational purposes such as showcasing websites and hosting scavenger hunts and games. It describes how the author set up exhibits for JEM and WebALT in Second Life to attract visitors. A scavenger hunt game was created where students needed to correctly answer math questions to receive clues. However, there were some challenges engaging students in math lessons and ensuring activities focused on learning rather than just using Second Life. While the virtual world can attract attention, it may not be better than existing tools for the students' learning experience.
Sunburst diagrams for Calculus II LogpathsOlga Caprotti
A poster where the visualizations for the most common learning activities are places side by side.
Actual data collected via an online calculus course at http://myweps.com.
The data is discussed in the seminar https://myweps.com/moodle/course/view.php?id=273.
This document announces an event from October 24-26, 2013 in Helsinki, Finland hosted by the University of Helsinki in collaboration with the US National Science Foundation and Academy of Finland. The event was part of a project using big data to conduct multi-disciplinary research on education and learning.
CEIC presentation of the IMU at CoData 2012Olga Caprotti
A poster for the International Mathematical Union delivered during the session organized by the ICSU's World Data System at the 23rd CODATA International Conferenceb Open Data and Information for a Changing Planet -- held in Taipei on 28 - 31 October 2012.
It comes with a prezi at http://prezi.com/lagth0nehum0/
MOLTO poster for META Forum, Brussels 2010, Belgium.Olga Caprotti
MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914. MOLTO is a project about high-quality multilingual online translation. http://molto-project.eu
MOLTO poster for ACL 2010, Uppsala SwedenOlga Caprotti
MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914. MOLTO's goal is to develop a set of tools for translating texts between multiple languages in real time with high quality. Languages are separate modules in the tool and can be varied; prototypes covering a majority of the EU's 23 official languages will be built.
http://molto-project.eu
Public annual report for the MOLTO project for year 2011. MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914.
We present how to set up VLEs to accommodate mathematics learning. We concentrate on the popular open source Moodle platform and introduce input filters to conveniently write and display mathematical formulas. Moreover, we present techniques for doing interactive math questions in Moodle.
Presentation in the JTEL Summer School, 2009/06/05, Slovakia. Funded by Funded by http://www.jem-thematic.net.
This document summarizes a 3-year program called JEM (Joining Educational Mathematics) that was funded by the EU to improve digital mathematics education resources. It discusses the program's goals of pooling expertise, coordinating an authoring community, and addressing challenges like fostering multilingual semantic markup and integrating mathematical content into learning technologies. It also provides details on the participating nodes, initiatives set up under JEM, statistics on the use of the JEM portal, plans to build an online community, and ways experts can provide support through workshops, seminars and adopting common formats.
JEM: a network for mathematics educatorsOlga Caprotti
This workshop provides an overview of current online teaching methods and content for mathematics at the high school and undergraduate levels in Europe. The event is organized by the JEM Network, which aims to connect mathematics educators. The presentation will introduce the JEM Network and its use of web2.0 tools to facilitate communication between developers, authors, and teachers in the mathematics community.
The document summarizes the JEM Repository for Learning Objects, which was launched in January 2008 as an integrated service from the JEM Portal. The repository utilizes Learning Object Metadata (LOM) standards to describe educational materials and supports browsing, adding, editing, and classifying learning objects based on taxonomies like MathTax. It was built as a Drupal module by Antti Alamäki and stores LOM metadata in a MySQL database.
Slides of the talk delivered during 6th EDEN Open Classroom. It reviews the experiences in Second Life searching for learning materials in mathematics and for mathematics teaching support.
More, http://www.jem-thematic.net/en/node/419
The document summarizes the Joining Mathematical Education (JEM) eContentPlus Thematic Network project. The goals of the project are to foster collaboration between experts in mathematics, software engineering, publishing, and learning theory to improve e-learning content in mathematics. The project will bring together these experts through events and activities to develop high-quality, interoperable e-content in mathematics and disseminate best practices in the field.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
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Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
AI Transformation Playbook: Thinking AI-First for Your BusinessArijit Dutta
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
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China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
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Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women MagazineCIOWomenMagazine
In this article, we will dive into the extraordinary life of Ellen Burstyn, where the curtains rise on a story that's far more attractive than any script.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
Advanced Language Technologies for Mathematical Markup
1. Olga Caprotti, Mika Seppälä Jordi Saludes, Gloria Casanellas, Wanjiku Ng'ang'a Work funded by EDC-22253-WEBALT Advanced Language Technologies for Mathematical Markup
2. Vision in the Spirit of Jules Verne Professor oversees the instruction, graduate student propels the machine. Students learn by looking to a screen and listening
Mathematical markup languages like OpenMath and MathML offer the possibility to represent mathematical content in a level of abstraction that is not dependent on localized information. This representation typically focuses on the semantics of the mathematical object and postpones localization aspects of mathematics, such as those influenced by notation and by culture, to the rendering process of the markup. While typesetting of mathematical markup has been the object of a numerous efforts, from MathML-presentation to SVG converters, the rendering of mathematics in a "verbalized" jargon has not yet received similar attention. In this talk, I will present the results of the WebALT EU eContent project concerning the application of language technologies to the automatic generation of text from mathematical markup. Mathematical jargon is an important aspect of the education of students. Not only does a teacher train pupils in problem solving skills, but she also makes sure that they acquire a proper way of expressing mathematical concepts. To our knowledge, digital eLearning resources have used a representation in which text is intermixed with mathematical expressions even in situations where the actual abstract representation, for instance of the statement of a theorem, can be reduced to a single mathematical object. One reason for this representation choice is that the rendering process would otherwise produce a symbolic, typeset mathematical formula that might prove too difficult to understand for the students or simply just too hard to read. However, by representing this kind of mathematical text in a language-independent format such as the one provided by markup languages, it is possible to apply language technologies that generate the same text in a variety of languages including English, Spanish, Finnish, Swedish, French and Italian. The project results include editors for mathematical multilingual markup, a web service for generating multiple languages versions and a digital repository of multilingual interactive mathematical exercises and drill questions.