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[PDF] Top 20 Practical Semantic Parsing for Spoken Language Understanding

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Practical Semantic Parsing for Spoken Language Understanding

Practical Semantic Parsing for Spoken Language Understanding

... executable semantic parser (Liang, 2013; Kate et ...cutable semantic parser can generate tree or graph structures that represent logical forms that can be used to query a knowledge base or ...executable ... See full document

8

Using Model Theoretic Semantic Interpretation to Guide Statistical Parsing and Word Recognition in a Spoken Language Interface

Using Model Theoretic Semantic Interpretation to Guide Statistical Parsing and Word Recognition in a Spoken Language Interface

... This paper describes an extension of the semantic grammars used in conventional statistical spoken language interfaces to allow the probabilities of derived analyses to be conditioned on[r] ... See full document

8

Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems

Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems

... Spoken Language Understanding (SLU), which extracts semantic information from speech, is not flawless, specially in practical ...a semantic confidence ...of spoken ... See full document

8

Re Ranking Models for Spoken Language Understanding

Re Ranking Models for Spoken Language Understanding

... Spoken Language Understanding aims at mapping a natural language spoken sen- tence into a semantic representation. In the last decade two main approaches have been pursued: ... See full document

9

GEMINI: A Natural Language System for Spoken Language Understanding

GEMINI: A Natural Language System for Spoken Language Understanding

... The Gemini kernel consists of a set of compilers to interpret the high-level languages in which the lexicon and syntactic and semantic grammar rules are written, as well as the parser, s[r] ... See full document

8

Integrating Syntax and Semantics into Spoken Language Understanding

Integrating Syntax and Semantics into Spoken Language Understanding

... Integrating Syntax and Semantics into Spoken Language Understanding I n t e g r a t i n g S y n t a x a n d S e m a n t i c s i n t o S p o k e n L a n g u a g e U n d e r s t a n d i n g 1 Lynette Hi[.] ... See full document

6

Nonparametric Bayesian Models for Spoken Language Understanding

Nonparametric Bayesian Models for Spoken Language Understanding

... In this paper, we propose a new generative ap- proach for semantic slot filling task in spoken language understanding using a nonparamet- ric Bayesian formalism. Slot filling is typi- cally ... See full document

9

Alignment of Eye Movements and Spoken Language for Semantic Image Understanding

Alignment of Eye Movements and Spoken Language for Semantic Image Understanding

... Empirical experiments have shown that eye movements are closely time-locked with human language processing (Ferreira and Tanenhaus, 2007). Roy (2000) proposed a technique for integrating vision and language ... See full document

6

Parsing Spoken Language: a Semantic Caseframe Approach

Parsing Spoken Language: a Semantic Caseframe Approach

... Parsing Spoken Language a Semantic Caseframe Approach Parsing Spoken Language' a Semantic Caseframe Approach Philip J Hayes, Alexander G Hauptmann, Jaime G Carbonell, and Masaru Tomita Computer Scienc[.] ... See full document

6

Spoken Language Understanding: from Spoken Utterances to Semantic Structures

Spoken Language Understanding: from Spoken Utterances to Semantic Structures

... The call-type classifier was trained on first utterances of the LUNA Italian Wizard of Oz corpus. The first turn of each dialog in this corpus is the one where, in most cases, the user states clearly the problem. So it ... See full document

148

Robust, Finite State Parsing for Spoken Language Understanding

Robust, Finite State Parsing for Spoken Language Understanding

... Aside from infinite center-self-embedding, a regular grammar formalism like PROFER's can be used to define every pattern in natural language definable by a GLR parser... Figure 4: Finite[r] ... See full document

6

Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language

Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language

... The outline of the corpus with dependency anal- yses is shown in Table 1. There exist 11,789 dependencies for 24,993 bunsetsus 2 . The av- erage number of dependencies per turn is 1.94, and is exceedingly less than that ... See full document

6

Integrating Semantic Analysis into Syntactic Parsing: Combining Categorial Grammar and Frame Semantics

Integrating Semantic Analysis into Syntactic Parsing: Combining Categorial Grammar and Frame Semantics

... integrate semantic analysis into syntactic parsing, or inverse; because they have realized that understanding cannot be fully explained simply with syntax or ...our Parsing System built on ... See full document

7

An Integrated Syntactic and Semantic System for Natural Language Understanding

An Integrated Syntactic and Semantic System for Natural Language Understanding

... AN INTEGRATED SYNTACTIC AND SEMANTIC SYSTEM FOR NATURAL LANGUAGE UNDERSTANDING AN INTEGRATED SYNTACTIC AND SEMANTIC SYSTEM FOR NATURAL LANGUAGE UNDERSTANDING UN SYSTEME SYNTAXIQUE ET SEMANT|QUE INTEGR[.] ... See full document

6

Compositional pre training for neural semantic parsing

Compositional pre training for neural semantic parsing

... Moreover, building annotated semantic parsing datasets is highly labor-intensive and parsers built for one domain do not necessarily transfer across domains. Fan et al. propose a multi-task setup and ... See full document

7

Any language frame semantic parsing

Any language frame semantic parsing

... We presented a multi-lingual frame-annotated cor- pus covering nine languages in two domains. With this corpus we performed experiments to predict target, frame and argument identification, outperforming a word-to-word ... See full document

5

32nd Annual Meeting of the Association for Computational Linguistics

32nd Annual Meeting of the Association for Computational Linguistics

... MONDAY, 27 JUNE: Tutorials Computational Phonology Steven Bird Spoken Language Understanding Systems Stephanie Seneff Text Analysis Tools in Spoken-Language Processing Richard Sproat & M[r] ... See full document

14

Unification Based Semantic Interpretation in the BBN Spoken Language System

Unification Based Semantic Interpretation in the BBN Spoken Language System

... UNIFICATION BASED SEMANTIC INTERPRETATION IN THE BBN SPOKEN LANGUAGE SYSTEM UNIFICATION BASED SEMANTIC INTERPRETATION IN THE BBN SPOKEN LANGUAGE SYSTEM D a v i d S t a l l a r d B B N S y s t e m s a[.] ... See full document

8

Training and Evaluation of a Spoken Language Understanding System

Training and Evaluation of a Spoken Language Understanding System

... Training and Evaluation of a Spoken Language Understanding System Training and Evaluation of a Spoken Language Understanding System D e b o r a h A D a h l , L y n e t t e H i r s c h m a n , Lewis M[.] ... See full document

7

Spoken Language Understanding for Personal Computers

Spoken Language Understanding for Personal Computers

... SPOKEN LANGUAGE UNDERSTANDING FOR PERSONAL COMPUTERS S P O K E N L A N G U A G E U N D E R S T A N D I N G FOR P E R S O N A L C O M P U T E R S George M White David Nagel Apple Computer Inc 20525 Mar[.] ... See full document

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