[PDF] Top 20 Spoken Language Understanding: from Spoken Utterances to Semantic Structures
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Spoken Language Understanding: from Spoken Utterances to Semantic Structures
... different semantic struc- tures described in Section ...” semantic tree, the “MULTILEVEL” and “FEATURES ” semantic ...and structures to be used for the comparison against the ... See full document
148
Alignment of Eye Movements and Spoken Language for Semantic Image Understanding
... therefore to extract these visual and linguistic units from the eye-tracking data and audio recordings. The audio recordings of the observers were transcribed verbatim, as shown in Figure 1. Most dermatological ... See full document
6
Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree to string Alignment Models
... improved from various perspectives (Zhang et ...browsing structures are barely manually created for and aligned with spo- ken ...such semantic structures should be inferred directly ... See full document
9
Re Ranking Models for Spoken Language Understanding
... Media also offers the possibility to compare with the state-of-the-art, which our re-rankers seem to improve. However, we need to consider that many Media corpus versions exist and this makes such comparisons not ... See full document
9
Exploiting Non Local Features for Spoken Language Understanding
... a language understanding task, the head word dependencies or parse tree path are successfully applied to learn and predict semantic roles, especially those with ambiguous labels (Gildea and Jurafsky, ... See full document
8
Integrating Prosodics into a Language Model for Spoken Language Understanding of Thai
... a spoken language understanding system for ...a language model based on constraint dependency ...obtained from the speech signal during low-level acoustic processing to encode each word ... See full document
10
The Signs of Silence – An Overview of Systems of Sign Languages and Co-Speech Gestures
... complex spoken languages have emerged gradually, through the evolution of linguistic systems which did not have the level of grammatical complexity of modern ...of language which involved simple ... See full document
22
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
Nonparametric Bayesian Models for Spoken Language Understanding
... The arbitrary slot filling approach is a natural application of shallow semantic parsing (Gildea, 2002), which is naturally formulated as a sequen- tial labeling problem. Various sequential labeling algorithms ... See full document
9
Incremental processing of noisy user utterances in the spoken language understanding task
... partial utterances works in this manner: We use the dataset with the full utterances and cre- ate partial utterances from ...n utterances, where the i-th utterance of these ... See full document
10
Practical Semantic Parsing for Spoken Language Understanding
... larger semantic parsing data set (NLmaps; Lawrence and Riezler ...data from a commercial conversa- tional assistant that has a much larger vocabulary ... See full document
8
Active Learning in Noisy Conditions for Spoken Language Understanding
... Spoken language understanding (SLU) is currently an emerging field in the intersection of speech processing and natural language processing (Tur and De Mori, ...meaning from speech ... See full document
10
The Alexa Meaning Representation Language
... of semantic roles, modifiers, co-reference, named entities and time expressions (Banarescu et ...for spoken dialog Poesio and Art- stein (Gross et ...for spoken language understanding ... See full document
8
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
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
Robust parsing of severely corrupted spoken utterances
... Robust parsing of severely corrupted spoken utterances R o b u s t p a r s i n g o f s e v e r e l y c o r r u p t e d s p o k e n u t t e r a n c e s E g i d i o P G i a c h i n C l a u d i o R u l l[.] ... See full document
6
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
... In attempts aimed at improving ASR performance on non-native speech, the acoustic models have received most attention. Various kinds of acoustic models can and have been used. First of all, it is possible to train ... See full document
13
Understanding Unsegmented User Utterances in Real Time Spoken Dialogue Systems
... Incremental Significant-UtteranceSequence Search Method 4.1 Overview The above problem can be solved by incremental understanding, which means obtaining the most plausible interpretation[r] ... See full document
8
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
Synthesis of Spoken Messages from Semantic Representations (Semantic Representation to Speech System)
... Synthesis of Spoken Messages from Semantic Representations (Semantic Representation to Speech System) Synthesis of Spoken Messages from Semantic Representations (Semantlc Representat Ion to Speech Sys[.] ... See full document
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