[PDF] Top 20 Learning to Embed Semantic Correspondence for Natural Language Understanding
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Learning to Embed Semantic Correspondence for Natural Language Understanding
... A conditional random field (CRF)-based se- quential classifier was implemented as a tradi- tional slot classifier. Also, an RNN- and an RNN+CRF-based sequential classifier were im- plemented as a deep learning ... See full document
10
Active Learning for New Domains in Natural Language Understanding
... IVA, natural language understanding (NLU) is a main component (De Mori et ...machine learning to recognize variation in natural ... See full document
7
Dual Supervised Learning for Natural Language Understanding and Generation
... Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP and dia- logue ...fields. Natural language ... See full document
6
Graph Based Semi Supervised Learning for Natural Language Understanding
... machine learning tasks. While deep learning techniques have achieved huge success, their performance on non-Euclidean data is not as good as on Euclidean ...deep learning al- gorithms to graph data ... See full document
8
Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... Results of the experiment on the E2E challenge data are summarized Table 1 for both the NLG and the NLU tasks. BLEU, Rouge-L and Meteor were computed using the E2E challenge metrics script 2 with default settings. NLU ... See full document
11
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
... Grounded language acquisition has aroused wide interest in various disciplines (Siskind, 1996; Yu and Ballard, 2004; Gorniak and Roy, 2007; Yu and Siskind, 2013; Chrupała et ...of natural language ... See full document
11
Evaluation of a question generation approach using semantic web for supporting argumentation
... various natural language processing techniques for creating questions, the fifth class of educational applications of question generation exploits linked open data that are a part of the semantic web ... See full document
19
R grams: Unsupervised Learning of Semantic Units in Natural Language
... In the applications where r-grams can be used, it replaces segmentation but not necessarily normal- ization. R-grams capture a range of semantic units from morphemes (or more generally, parts of words) to words to ... See full document
11
Understanding the Semantic Intent of Natural Language Query
... To capture the underlying information need encod- ed within diverse user queries, considerable work- s have been conducted from many aspects. Most previous works in this area focus on query inten- t classification as one ... See full document
9
Semantic processing in natural language understanding
... a semantic set on the basis of the priming ...generated semantic set is assumed to depend on the strategy used by the subject: Becker proposes a specific prediction strategy, and a general expectancy ...If ... See full document
411
Natural Language Understanding and the Perspectives of Question Answering
... NATURAL LANGUAGE UNDERSTANDING AND THE PERSPECTIVES OF QUESTION ANSWERING COLING 82, J Horeclo) (ed ) North Holland Publishing Company @ Aeodcm~ 1982 NATURAL LANGUAGE UNDERSTANDING AND THE PERSPECTIVE[.] ... See full document
8
Natural Language Understanding Systems within the A I Paradigm: A Survey and Some Comparisons
... Winograd '71 Winograd, T.# Procedures as a Representation for Data i n a Computer Program for Understanding Natural Language, MIT Ph-D.. Winograd, Tmr - Understanding Natural Language, A[r] ... See full document
65
Term Categorization Using Latent Semantic Analysis for Intelligent Query Processing
... A system for competent unsupervised example for population count proposed by Theerayut Thongkrau et al., 2010[12], the new instances are classified according to their equivalent lexical ontology concept. In relation to ... See full document
6
Developing a Flexible Spoken Dialog System Using Simulation
... Each semantic frame is input to Genesis, a text gen- eration module (Seneff, 2002), to output a synthetic user ...example semantic frames and corresponding sample sentences from the sim- ... See full document
8
Abstract Meaning Representation for Sembanking
... a semantic representation language in which we are writing down the meanings of thousands of English sen- ...whole-sentence semantic structures will spur new work in statistical natural lan- ... See full document
9
Reducing labeled data usage in duplicate detection using deep belief networks
... Another area that is related to duplicate detection of textual data is natural language processing. One of the important recent developments in natural language processing is word embedding. ... See full document
68
Generating Natural Language Questions to Support Learning On Line
... questions that are the most pedagogically useful. For our initial evaluation of the performance of our QG system, we selected a subset of 10 doc- uments from the collection described in the previ- ous section. On ... See full document
10
Natural Language Interfaces Using Limited Semantic Information
... NATURAL LANGUAGE INTERFACES USING LIMITED SEMANTIC INFORMATION COI~NG 82, J Horeck~ (ed ) North Holland Publishing Company ? Academia, 1982 NATURAL LANGUAGE INTERFACES USING LIMITED SEMANTIC INFORMATI[.] ... See full document
6
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
... including semantic representations, semantic processing, theoretical semantics, multilingual semantics, and several ...of natural language processing has also resulted in an increased interest ... See full document
16
Conceptual Taxonomy of Japanese Adjectives for Understanding Natural Language and Picture Patterns
... CONCEPTUAL TAXONOMY OF JAPANESE ADJECTIVES FOR UNDERSTANDING NATURAL LANGUAGE AND PICTURE PATTERNS CONCEPTUAL TAXONOMY OF JAPANESE ADJECTIVES FOR UNDERSTANDING NATURAL LANGUAGE AND PICTURE PATTERNS N[.] ... See full document
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