115 Propbank PPTs View free & download

PropBank, VerbNet PowerPoint PPT Presentation

PropBank, VerbNet - John covered the bread with peanut butter. PropBank: Trends in Argument Numbering ... 2 Types of mappings: ... Can often be thought of as a type of classifier ...

John covered the bread with peanut butter. PropBank: Trends in Argument Numbering ... 2 Types of mappings: ... Can often be thought of as a type of classifier ...

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Combining Lexical Resources: Mapping Between PropBank and VerbNet PowerPoint PPT Presentation

Combining Lexical Resources: Mapping Between PropBank and VerbNet - ... covered the bread with peanut butter. PropBank: Trends in Argument ... Recall. Precision. Experimental Results: Brown Corpus 9.47 6.23 ... Recall ...

... covered the bread with peanut butter. PropBank: Trends in Argument ... Recall. Precision. Experimental Results: Brown Corpus 9.47 6.23 ... Recall ...

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Estudio preliminar para la creacin de Euskal PropBank PowerPoint PPT Presentation

Estudio preliminar para la creacin de Euskal PropBank - ... la entrada l xica del ... Proponer la entrada l xica del verbo esan al estilo PropBank, ... Revisar/modificar la entrada. Agrupar dudas y completar la tabla ...

... la entrada l xica del ... Proponer la entrada l xica del verbo esan al estilo PropBank, ... Revisar/modificar la entrada. Agrupar dudas y completar la tabla ...

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Generation in the Context of MT PowerPoint PPT Presentation

Generation in the Context of MT - Dictionary Filtering. Czech/English parallel. Penn TreeBank ... Kucerov 's PropBank TR dictionary (hand-crafted) Input 1 (Automatic English TR) 8/22/2002 ...

Dictionary Filtering. Czech/English parallel. Penn TreeBank ... Kucerov 's PropBank TR dictionary (hand-crafted) Input 1 (Automatic English TR) 8/22/2002 ...

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Proposition Bank: a resource of predicateargument relations PowerPoint PPT Presentation

Proposition Bank: a resource of predicateargument relations - Compare DLI Human translation to system output (200) ... of cars. 10/9/01. PropBank. 22. How are arguments numbered? Examination of example sentences ...

Compare DLI Human translation to system output (200) ... of cars. 10/9/01. PropBank. 22. How are arguments numbered? Examination of example sentences ...

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Text-to-Text Generation PowerPoint PPT Presentation

Text-to-Text Generation - Text-to-Text Generation Graesser, Rus, Stent, Walker, White

Text-to-Text Generation Graesser, Rus, Stent, Walker, White

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Outline - Bill filled the tank (with water). *Bill filled water (into the tank) ... give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ...

Bill filled the tank (with water). *Bill filled water (into the tank) ... give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ...

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Annotation Types for UIMA PowerPoint PPT Presentation

Annotation Types for UIMA - Temporal expressions. Named entities. Parse constituents (?) Want: a ... Add an optional property (eg 'pieces') that can be used to specify discontinuous ...

Temporal expressions. Named entities. Parse constituents (?) Want: a ... Add an optional property (eg 'pieces') that can be used to specify discontinuous ...

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NSF-ULA Sense tagging and Eventive Nouns PowerPoint PPT Presentation

NSF-ULA Sense tagging and Eventive Nouns - Martha Palmer, Miriam Eckert, Jena D. Hwang, Susan Windisch Brown, Dmitriy ... 6 cases. allegation. PB: allege.01. Arg0: speaker, alleger. Arg1: utterance, allegation ...

Martha Palmer, Miriam Eckert, Jena D. Hwang, Susan Windisch Brown, Dmitriy ... 6 cases. allegation. PB: allege.01. Arg0: speaker, alleger. Arg1: utterance, allegation ...

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OntoNotes: A Unified Relational Semantic Representation PowerPoint PPT Presentation

OntoNotes: A Unified Relational Semantic Representation - Using the API: Creating Full-fledged Objects (I) 11. Using the API: Creating Full-fledged Objects (II) 12. Using the API: Writing to the database ...

Using the API: Creating Full-fledged Objects (I) 11. Using the API: Creating Full-fledged Objects (II) 12. Using the API: Writing to the database ...

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Generation in the Context of MT - Generation in the Context of MT Final Report

Generation in the Context of MT Final Report

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Lexical Semantics in American Corpus Annotation Projects PowerPoint PPT Presentation

Lexical Semantics in American Corpus Annotation Projects - Title: Overview of Lexical Semantics of Verbs Author: CMU Last modified by: lsl Created Date: 11/25/2002 12:10:45 AM Document presentation format

Title: Overview of Lexical Semantics of Verbs Author: CMU Last modified by: lsl Created Date: 11/25/2002 12:10:45 AM Document presentation format

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KINDLE: Knowledge and Inference via Description Logics for Natural Language PowerPoint PPT Presentation

KINDLE: Knowledge and Inference via Description Logics for Natural Language - KINDLE: Knowledge and Inference. via Description Logics for Natural Language. Impact / Highlights ... Robust, learning based, analysis of text into a ...

KINDLE: Knowledge and Inference. via Description Logics for Natural Language. Impact / Highlights ... Robust, learning based, analysis of text into a ...

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A QA Database and Extended KINDLE Resources PowerPoint PPT Presentation

A QA Database and Extended KINDLE Resources - A Q/A Database and Extended KINDLE Resources. Edward Loper. University of Pennsylvania ... A collection of existing reading comprehension tests ...

A Q/A Database and Extended KINDLE Resources. Edward Loper. University of Pennsylvania ... A collection of existing reading comprehension tests ...

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Josef Ruppenhofer, Swapna Somasundaran, Janyce Wiebe University of Pittsburgh PowerPoint PPT Presentation

Josef Ruppenhofer, Swapna Somasundaran, Janyce Wiebe University of Pittsburgh - Josef Ruppenhofer, Swapna Somasundaran, Janyce Wiebe. University of Pittsburgh ... Some people say the Steelers are contenders but I'm not convinced of it. ...

Josef Ruppenhofer, Swapna Somasundaran, Janyce Wiebe. University of Pittsburgh ... Some people say the Steelers are contenders but I'm not convinced of it. ...

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Putting Meaning Into Your Trees PowerPoint PPT Presentation

Putting Meaning Into Your Trees - Tips on Being a Successful Movie Vampire ... I shall call the police. ... give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ...

Tips on Being a Successful Movie Vampire ... I shall call the police. ... give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ...

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Integrating Syntactic and Semantic Annotation of Biomedical Text PowerPoint PPT Presentation

Integrating Syntactic and Semantic Annotation of Biomedical Text - Ann Bies, Susan Davidson, Hubert Jin, Aravind Joshi, Seth Kulick, Jeremy ... Training Treebank Syntactic Annotators. Starting Up: Start coreference annotation ...

Ann Bies, Susan Davidson, Hubert Jin, Aravind Joshi, Seth Kulick, Jeremy ... Training Treebank Syntactic Annotators. Starting Up: Start coreference annotation ...

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Information Extraction A Practical Survey PowerPoint PPT Presentation

Information Extraction A Practical Survey - Information Extraction A Practical Survey Mihai Surdeanu TALP Research Center Dep. Llenguatges i Sistemes Inform tics Universitat Polit cnica de Catalunya

Information Extraction A Practical Survey Mihai Surdeanu TALP Research Center Dep. Llenguatges i Sistemes Inform tics Universitat Polit cnica de Catalunya

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Putting Meaning Into Your Trees - Putting Meaning Into Your Trees Martha Palmer University of Pennsylvania Columbia University New York City January 29, 2004 Outline Introduction Background: WordNet ...

Putting Meaning Into Your Trees Martha Palmer University of Pennsylvania Columbia University New York City January 29, 2004 Outline Introduction Background: WordNet ...

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ANCOANC, MASC, LAFGrAF, and ULA PowerPoint PPT Presentation

ANCOANC, MASC, LAFGrAF, and ULA - ... across several genres. Written (travel guides, blog, fiction, letters, newspaper, non ... 15 million word subset, free of license restrictions, ...

... across several genres. Written (travel guides, blog, fiction, letters, newspaper, non ... 15 million word subset, free of license restrictions, ...

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Automatic Semantic Role Labeling PowerPoint PPT Presentation

Automatic Semantic Role Labeling - [THEME a money ... be offered [THEME a money-back guarantee] 5. Why is SRL Important ... Agent; A1 Patient or Theme. Other arguments no consistent ...

[THEME a money ... be offered [THEME a money-back guarantee] 5. Why is SRL Important ... Agent; A1 Patient or Theme. Other arguments no consistent ...

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Introduction to Computational Linguistics PowerPoint PPT Presentation

Introduction to Computational Linguistics - (3) For years, costume jewelry makers fought a losing battle. Jewelry displays in department stores were often cluttered and uninspired. ...

(3) For years, costume jewelry makers fought a losing battle. Jewelry displays in department stores were often cluttered and uninspired. ...

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Toward Large-Scale Shallow Semantics for Higher-Quality NLP PowerPoint PPT Presentation

Toward Large-Scale Shallow Semantics for Higher-Quality NLP - What is this Semantics in the Semantic Web, and How can You Get It? Toward Large-Scale Shallow Semantics for Higher-Quality NLP Eduard Hovy

What is this Semantics in the Semantic Web, and How can You Get It? Toward Large-Scale Shallow Semantics for Higher-Quality NLP Eduard Hovy

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Information Extraction A Practical Survey - Information Extraction A Practical Survey Mihai Surdeanu TALP Research Center Dep. Llenguatges i Sistemes Inform tics Universitat Polit cnica de Catalunya

Information Extraction A Practical Survey Mihai Surdeanu TALP Research Center Dep. Llenguatges i Sistemes Inform tics Universitat Polit cnica de Catalunya

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Annotators' Overview of the ITR Grant PowerPoint PPT Presentation

Annotators' Overview of the ITR Grant - qualitatively better methods for automatically extracting information from the ... Max.: half-time = 20 hours. Min.: 10 hours. Weekly meeting ...

qualitatively better methods for automatically extracting information from the ... Max.: half-time = 20 hours. Min.: 10 hours. Weekly meeting ...

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??? - Title: Author: Last modified by

Title: Author: Last modified by

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Apache%20Clinical%20Text%20Analysis%20and%20Knowledge%20Extraction%20System PowerPoint PPT Presentation

Apache%20Clinical%20Text%20Analysis%20and%20Knowledge%20Extraction%20System - Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) Guergana K. Savova, PhD Pei Chen Boston Children s Hospital Harvard Medical School

Apache Clinical Text Analysis and Knowledge Extraction System (cTAKES) Guergana K. Savova, PhD Pei Chen Boston Children s Hospital Harvard Medical School

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GLARF-ULA: Working Towards Usability PowerPoint PPT Presentation

GLARF-ULA: Working Towards Usability - Participation in CONLL. Chinese GLARF. GLARF-ULA: ULA08 Workshop ... Papers written by happy users. A Shared Task like CONLL. What need does GLARF-ULA fill? ...

Participation in CONLL. Chinese GLARF. GLARF-ULA: ULA08 Workshop ... Papers written by happy users. A Shared Task like CONLL. What need does GLARF-ULA fill? ...

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- Title: Author: Maria Last modified by: ZVP Created Date: 7/22/2006 8:33:32 PM Document presentation format

Title: Author: Maria Last modified by: ZVP Created Date: 7/22/2006 8:33:32 PM Document presentation format

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Lexical Resources for Kindle PowerPoint PPT Presentation

Lexical Resources for Kindle - Grace broke the LCD projector. break (agent(Grace), patient ... Nancy's gift from her cousin was a complete surprise. Arg0: her cousin. REL: gave. Arg2: her ...

Grace broke the LCD projector. break (agent(Grace), patient ... Nancy's gift from her cousin was a complete surprise. Arg0: her cousin. REL: gave. Arg2: her ...

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Owen Rambow - Solution: use description of trees, not trees (as in TAG) ... Approach: stochastic choice on trees using arborescent & linear language models ...

Solution: use description of trees, not trees (as in TAG) ... Approach: stochastic choice on trees using arborescent & linear language models ...

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Improved Semantic Role Parsing PowerPoint PPT Presentation

Improved Semantic Role Parsing - Kadri Hacioglu, Sameer Pradhan, Valerie Krugler, Steven Bethard, ... was shot [AGENT by anarchist Leon Czolgosz] [LOCATION at the Pan-American Exposition] ...

Kadri Hacioglu, Sameer Pradhan, Valerie Krugler, Steven Bethard, ... was shot [AGENT by anarchist Leon Czolgosz] [LOCATION at the Pan-American Exposition] ...

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FATE: a FrameNet Annotated corpus for Textual Entailment PowerPoint PPT Presentation

FATE: a FrameNet Annotated corpus for Textual Entailment - Anaphora. Copula and support verbs. Modal expressions. Metaphors. Existential constructions ... to the external referent via the ANAPHORA frame. Anaphora ...

Anaphora. Copula and support verbs. Modal expressions. Metaphors. Existential constructions ... to the external referent via the ANAPHORA frame. Anaphora ...

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Les Donn - Qu'est-ce qu'un corpus, corpus quilibr , monitor corpus, corpus de r f rence, exemples d utilisation. Exemples de corpus textuels : le British National Corpus

Qu'est-ce qu'un corpus, corpus quilibr , monitor corpus, corpus de r f rence, exemples d utilisation. Exemples de corpus textuels : le British National Corpus

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Lexical Semantics in American Corpus Annotation Projects - Semantic role names in a meaning representation. Sam opened the door with a key. ... Semantic Roles Names in a Meaning Representation. These sentences do not ...

Semantic role names in a meaning representation. Sam opened the door with a key. ... Semantic Roles Names in a Meaning Representation. These sentences do not ...

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LIN6932 Topics in Computational Linguistics PowerPoint PPT Presentation

LIN6932 Topics in Computational Linguistics - And some other links to research sites. LIN 6932. Computer-Aided. Language ... flashcards, phonetics, streaming audio materials, multi-lingual content, etc. ...

And some other links to research sites. LIN 6932. Computer-Aided. Language ... flashcards, phonetics, streaming audio materials, multi-lingual content, etc. ...

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Generation in the Context of MT - Generation in the Context of MT Final Report The Team Senior members & affiliate members Jan Haji , Charles Univ., Prague Drago Radev, Univ. of Michigan Gerald Penn ...

Generation in the Context of MT Final Report The Team Senior members & affiliate members Jan Haji , Charles Univ., Prague Drago Radev, Univ. of Michigan Gerald Penn ...

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Interlingua Annotation PowerPoint PPT Presentation

Interlingua Annotation - ... guidelines (methodology, manual) for annotating language ... Research: develop annotation scheme(s), methodology, manuals. Levels (reminder): (deep syntax) ...

... guidelines (methodology, manual) for annotating language ... Research: develop annotation scheme(s), methodology, manuals. Levels (reminder): (deep syntax) ...

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Parallel Syntactic Annotation of Multiple Languages PowerPoint PPT Presentation

Parallel Syntactic Annotation of Multiple Languages - Parallel Syntactic Annotation of Multiple Languages. Owen Rambow, Bonnie Dorr, ... Diathesis alternation: IL1 (caveat) The men loaded hay into the trucks ...

Parallel Syntactic Annotation of Multiple Languages. Owen Rambow, Bonnie Dorr, ... Diathesis alternation: IL1 (caveat) The men loaded hay into the trucks ...

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MaxMargin Matching for Semantic Role Labeling PowerPoint PPT Presentation

MaxMargin Matching for Semantic Role Labeling - Our idea: use a word hierarchy to find categories of words. Used WordNet as the hierarchy ... For each possible argument (Giver, Gift, Recipient, etc. ...

Our idea: use a word hierarchy to find categories of words. Used WordNet as the hierarchy ... For each possible argument (Giver, Gift, Recipient, etc. ...

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Center for Computational Learning Systems PowerPoint PPT Presentation

Center for Computational Learning Systems - NLP people at CCLS: Mona Diab, Nizar Habash, Martin Jansche, Rebecca Passonneau, Owen Rambow ... Mona Diab. Using corpora (including multilingual parallel and ...

NLP people at CCLS: Mona Diab, Nizar Habash, Martin Jansche, Rebecca Passonneau, Owen Rambow ... Mona Diab. Using corpora (including multilingual parallel and ...

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Constrained Conditional Models Learning and Inference for Information Extraction and Natural Language Understanding PowerPoint PPT Presentation

Constrained Conditional Models Learning and Inference for Information Extraction and Natural Language Understanding - Constrained Conditional Models Learning and Inference for Information Extraction and Natural Language Understanding Dan Roth Department of Computer Science

Constrained Conditional Models Learning and Inference for Information Extraction and Natural Language Understanding Dan Roth Department of Computer Science

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CSCI 5832 Natural Language Processing PowerPoint PPT Presentation

CSCI 5832 Natural Language Processing - A seemingly endless set of random facts about words. 6/4/09. CSCI 5832 Spring 2006. 3. Meaning ... the facts and some theorizing. 6/4/09. CSCI 5832 Spring 2006 ...

A seemingly endless set of random facts about words. 6/4/09. CSCI 5832 Spring 2006. 3. Meaning ... the facts and some theorizing. 6/4/09. CSCI 5832 Spring 2006 ...

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Integrating Syntactic and Semantic Annotation of Biomedical Text - Ann Bies, Susan Davidson, Hubert Jin, Aravind Joshi, Seth Kulick, Jeremy ... Martha Palmer, Eric Pancoast, Fernando Pereira, Andrew Schein, Val Tannen, Lyle ...

Ann Bies, Susan Davidson, Hubert Jin, Aravind Joshi, Seth Kulick, Jeremy ... Martha Palmer, Eric Pancoast, Fernando Pereira, Andrew Schein, Val Tannen, Lyle ...

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Learning Language from its Perceptual Context PowerPoint PPT Presentation

Learning Language from its Perceptual Context - Learning Language from its Perceptual Context Ray Mooney Department of Computer Sciences University of Texas at Austin Joint work with David Chen Joohyun Kim

Learning Language from its Perceptual Context Ray Mooney Department of Computer Sciences University of Texas at Austin Joint work with David Chen Joohyun Kim

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Welcome to Introduction to Natural Language Processing CIS 530 PowerPoint PPT Presentation

Welcome to Introduction to Natural Language Processing CIS 530 - journalists. scientists. transfers. Pakistan. nuclear. Khan ... name 'North Korea' Explicit Semantic Representations. E1: Founder. Names: 'Abdul Qadeer Khan' ...

journalists. scientists. transfers. Pakistan. nuclear. Khan ... name 'North Korea' Explicit Semantic Representations. E1: Founder. Names: 'Abdul Qadeer Khan' ...

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Corpus Linguistics vs. Ontologies PowerPoint PPT Presentation

Corpus Linguistics vs. Ontologies - ... a form of a personalised digital life diary and augmented memory assistant. ... at work or in public spaces will soon carry wireless communications technology. ...

... a form of a personalised digital life diary and augmented memory assistant. ... at work or in public spaces will soon carry wireless communications technology. ...

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Semantics - Sent: Maharani serves vegetarian dishes. Question: can vegetarians eat at Maharani? ... NATIONALITY Italian/Mexican/.... Semantic grammar (cont) Pros: No need ...

Sent: Maharani serves vegetarian dishes. Question: can vegetarians eat at Maharani? ... NATIONALITY Italian/Mexican/.... Semantic grammar (cont) Pros: No need ...

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Learning and Global Inference for Information Access and Natural Language Understanding PowerPoint PPT Presentation

Learning and Global Inference for Information Access and Natural Language Understanding - Nice to Meet You. Page 3. Learning and Inference ... I left my nice pearls to her. I left my nice pearls to her. Identify Vocabulary ... I left my nice pearls to her ...

Nice to Meet You. Page 3. Learning and Inference ... I left my nice pearls to her. I left my nice pearls to her. Identify Vocabulary ... I left my nice pearls to her ...

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Meaning Representations: A Practical Viewpoint PowerPoint PPT Presentation

Meaning Representations: A Practical Viewpoint - ... has admitted he transferred nuclear technology to Iran, Libya and North Korea. ... Names: 'Libya' E7: Nation. Names: 'North Korea' E4: Know-How ...

... has admitted he transferred nuclear technology to Iran, Libya and North Korea. ... Names: 'Libya' E7: Nation. Names: 'North Korea' E4: Know-How ...

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Modelling Human Thematic Fit Judgments PowerPoint PPT Presentation

Modelling Human Thematic Fit Judgments - Deep semantic annotation: Frames code situations, group verbs that describe ... Annotation relatively sensible and reliable for non-FN verbs ...

Deep semantic annotation: Frames code situations, group verbs that describe ... Annotation relatively sensible and reliable for non-FN verbs ...

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CS 388: Natural Language Processing: Semantic Role Labeling PowerPoint PPT Presentation

CS 388: Natural Language Processing: Semantic Role Labeling - For each clause, determine the semantic role played by each noun phrase that is ... 'John ate the spaghetti with chopsticks.' Instruments should be tools ...

For each clause, determine the semantic role played by each noun phrase that is ... 'John ate the spaghetti with chopsticks.' Instruments should be tools ...

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CS 224U LINGUIST 288188 Natural Language Understanding Jurafsky and Manning PowerPoint PPT Presentation

CS 224U LINGUIST 288188 Natural Language Understanding Jurafsky and Manning - give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ... Arg4: payment. Sell. Arg0: seller. Arg1: goods. Arg2: buyer. Arg3: ...

give(GM-J pact, US car maker, 30% stake) Analysts have been expecting a GM-Jaguar pact ... Arg4: payment. Sell. Arg0: seller. Arg1: goods. Arg2: buyer. Arg3: ...

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Semantic Role Labeling via Integer Linear Programming Inference PowerPoint PPT Presentation

Semantic Role Labeling via Integer Linear Programming Inference - Semantic parsing is an important task toward natural language understanding, and ... Their adjuncts, e.g., Locative, Temporal or Manner ...

Semantic parsing is an important task toward natural language understanding, and ... Their adjuncts, e.g., Locative, Temporal or Manner ...

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Unsupervised Learning of Syntactic Structure PowerPoint PPT Presentation

Unsupervised Learning of Syntactic Structure - a new year begins in new york. expect brushbacks but no beanballs ... Full binary grammar over n symbols. Parse randomly at first ...

a new year begins in new york. expect brushbacks but no beanballs ... Full binary grammar over n symbols. Parse randomly at first ...

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Natural Language Processing for the Web PowerPoint PPT Presentation

Natural Language Processing for the Web - Focused. Media/genre. News: newswire, broadcast. Email/meetings. 21 ... This paper focusses on document extracts, a particular kind of computed document ...

Focused. Media/genre. News: newswire, broadcast. Email/meetings. 21 ... This paper focusses on document extracts, a particular kind of computed document ...

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Propbank PowerPoint PPT Presentations