spoken natural language understanding
Gemini: A Natural Language System for Spoken Language Understanding
... Gemini A Natural Language System for Spoken Language Understanding Gemini A N a t u r a l Language S y s t e m for Spoken Language Understanding* John Dowding, Jean Mark Gawron, Doug Appelt, John Bear[.] ...
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Extracting Clauses for Spoken Language Understanding in Conversational Systems
... Language Processing EMNLP, Philadelphia, July 2002, pp.. Proceedings of the Conference on Empirical Methods in Natural.[r] ...
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Integrating Prosodics into a Language Model for Spoken Language Understanding of Thai
... in natural language independent of contextual information since computers do not currently utilize all the knowledge sources that humans ...a spoken sentence provides an acoustic cue for ...
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Natural Language Input for In Car Spoken Dialog Systems: How Natural is Natural?
... the natural language understanding component of an SDS must be able to understand from a user ...of natural language user input is ...
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Data Augmentation with Atomic Templates for Spoken Language Understanding
... Ablation Study We conduct several ablation studies to analyze the effectiveness of different components of our method, as shown in Table 3. By removing SLU model pretraining on DSTC2 (“- dstc2”) and finetuning on the ...
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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] ...
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Neural Lexicons for Slot Tagging in Spoken Language Understanding
... Previous work has shown how lexicons can be used to improve slot tagging with Conditional Random Fields (Ratinov and Roth, 2009), where slot tagging refers to the process of identifying semantic entities of interest in ...
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Sequential Dialogue Context Modeling for Spoken Language Understanding
... the language understanding ...dialogue. Natural language utterances are often ambiguous, and the context from previous user and system turns could help resolve the errors aris- ing from these ...
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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 ...
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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, ...of natural ...
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Exploiting Non Local Features for Spoken Language Understanding
... statistical spoken language understanding (SLU) ...statistical natural language parsers trained on text perform unreliably to encode non-local informa- tion on spoken ...
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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] ...
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Selecting Machine Translated Data for Quick Bootstrapping of a Natural Language Understanding System
... target language segments were used for the target language ...into spoken form before building the MT system to bet- ter match spoken user utterances of an NLU sys- ...target language ...
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A Survey on Vehicle Navigation Using Natural Spoken Language
... using natural language processing mainly introduces interface relating to human and vehicle that the vehicle can understand human language in a natural ...for understanding human ...
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Practical Semantic Parsing for Spoken Language Understanding
... verting natural language utterances into logi- cal forms that can be directly used as queries to get a ...for Spoken Language Understanding ...
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A Weakly Supervised Learning Approach for Spoken Language Understanding
... a natural language corpus was collected through a specific website which simulated a dialog ...2,286 natural lan- guage utterances through this ...a spoken language corpus was collected ...
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Re Ranking Models for Spoken Language Understanding
... stochastic language models (both back-off and interpolated models with several dis- counting techniques like Good-Turing, Witten- Bell, Natural, Kneser-Ney, Unchanged Kneser- Ney ...
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An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... Natural Language Understanding (NLU) for Spoken Dia- logue Systems (SDS) is complicated both by noise in au- tomatic speech recognition (ASR), and by speech phenom- ena such as disfluencies, ...
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Spoken Language Understanding: from Spoken Utterances to Semantic Structures
... Spoken Language Understanding (SLU) is the semantic interpretation of signs conveyed by a speech ...from spoken sentence transcriptions in a natural ...formation. Spoken ...
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The language of emails: Is it resembling more the spoken language or the written language?
... This article dealt only with emails and due to personal reasons, as a limitation in this paper, no more samples of emails were included since the users did not provide any consent to include more samples of their ...
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