'Meaning representation' presentation slideshows

Representing Meaning

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670 views • 58 slides

Learning Language Semantics from Ambiguous Supervision

Learning Language Semantics from Ambiguous Supervision. Rohit J. Kate Raymond J. Mooney. Semantic Parsing. Involves learning language semantics to transform natural language (NL) sentences into computer executable complete meaning representations (MRs) for some application

648 views • 47 slides

Multilingual Conversational Systems

SPEECH SYNTHESIS. SPEECH SYNTHESIS. LANGUAGE GENERATION. SPEECH SYNTHESIS. Rules. Graphs & Tables. DIALOGUE MANAGER. DATABASE. Meaning Representation. DISCOURSE CONTEXT. LANGUAGE UNDERSTANDING. SPEECH RECOGNITION. Models. Models. Models. Rules. Language Independent.

603 views • 43 slides

Regular Expressions and Automata

Regular Expressions and Automata. Lecture #2. September 3 2009. Natural Language Understanding. Associate each input (acoustic signal/character string) with a meaning representation. Carried out by a series of components:

593 views • 41 slides

Lexical Semantic + Students Presentations ICS 482 Natural Language Processing

Lexical Semantic + Students Presentations ICS 482 Natural Language Processing. Lecture 26: Lexical Semantic + Students Presentations Husni Al-Muhtaseb. ??? ???? ?????? ?????? ICS 482 Natural Language Processing. Lecture 26: Lexical Semantic + Students Presentations Husni Al-Muhtaseb.

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Computational Semantics coli.uni-sb.de/cl/projects/milca/esslli

726 views • 39 slides

Semantics: Representations and Analyses

Semantics: Representations and Analyses. Julia Hirschberg CS 4705. Slides adapted from Kathy McKeown, Dan Jurafsky, Chris Manning and video thanks to Lyn Walker, Michael Johnston, Noemie Elhadad et al. Question-Answering/Dialog. Where kind of information needs to be conveyed to the system?.

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Final Review and Wrap Up

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Discourse Representation Theory: An overview

Discourse Representation Theory: An overview. Part I : The linguistic problem. Outline. A meaning representation language Compositionality Lambda Calculus Moving to Discourse Shortcomings with FOL. 1. A meaning representation language.

464 views • 26 slides

CPE 480 Natural Language Processing

CPE 480 Natural Language Processing. Lecture 6: Semantics--From words to sentences to idioms Asst. Prof. Nuttanart Facundes, Ph.D. Theories of Meaning. Words have different meaning, depending on the context in which they are used What is the meaning of a word?

365 views • 25 slides

Semantic Analysis: Syntax-Driven Semantics

Semantic Analysis: Syntax-Driven Semantics. Semantics and Syntax. Some representations of meaning: The cat howls at the moon. Logic: howl(cat,moon) Frames: Event: howling Agent: cat Patient: moon How do we decide what we want to represent? Entities, categories, events, time, aspect

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Lecture 17

Lecture 17. Semantic Analysis: Syntax-Driven Semantics. Review. Some representations of meaning: First order logic Frames etc. Some linguistically relevant categories we want to represent Predicates, arguments, variables, quantifiers Categories, events, time, aspect

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CS 4705

CS 4705. Semantic Analysis: Syntax-Driven Semantics. Meaning derives from . The entities and actions/states represented (predicates and arguments, or, nouns and verbs) The way they are ordered and related: The syntax of the representation may correspond to the syntax of the sentence

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Bath Engineering Innovative Manufacturing Research Centre

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CS 4705

CS 4705. Semantic Analysis: Syntax-Driven Semantics. Meaning derives from. The entities and actions/states represented (predicates and arguments, or, nouns and verbs) The way they are ordered and related: The syntax of the representation may correspond to the syntax of the sentence

319 views • 19 slides

CS 4705

CS 4705. Semantic Analysis: Syntax-Driven Semantics. Meaning derives from. The entities and actions/states represented (predicates and arguments, or, nouns and verbs) The way they are ordered and related: The syntax of the representation may correspond to the syntax of the sentence

287 views • 19 slides

Introduction to Semantics

Introduction to Semantics. To be able to reason about the meanings of utterances, we need to have ways of representing the meanings of utterances. A formal structure for representing meaning is called a meaning representation .

328 views • 18 slides

ICS 482 Natural Language Processing Semantics (Chapter 17)

351 views • 17 slides

SpeechBuilder: Facilitating Spoken Dialogue System Creation

SpeechBuilder: Facilitating Spoken Dialogue System Creation. Eugene Weinstein Project Oxygen Core Team MIT Laboratory for Computer Science ecoder@mit.edu. Language Generation. Speech Synthesis. Dialogue Management. Hub. Audio. Database Server. Speech Recog. Context Resolution.

308 views • 16 slides