[PDF] Top 20 Dual Supervised Learning for Natural Language Understanding and Generation
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Dual Supervised Learning for Natural Language Understanding and Generation
... and natural language processing ...via natural language in- ...deep learning has inspired many applications of neural dialogue systems (Wen et ...a natural lan- guage ... See full document
6
Generation Distillation for Efficient Natural Language Understanding in Low Data Settings
... fer learning with large-scale language mod- els (LM) has led to dramatic performance im- provements across a broad range of natural language understanding ...called ... See full document
8
Building a Corpus for Personality dependent Natural Language Understanding and Generation
... Figure 6: An annotated referring expression in b5-ref. In the b5-ref data, personality traits have been shown to af- fect both the contents and the surface form of referring ex- pressions. Preliminary results of a ... See full document
8
Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... a learning scheme which provides the ability to jointly learn two mod- els for NLG and for NLU using large amount of unannotated data and small amount of anno- tated ... See full document
11
A Hybrid Approach to Representation in the Janus Natural Language Processor
... Abstract In BBN's natural language understanding and generation system Janus, we have used a hybrid approach to representation, employing an intensional logic for the representation of t[r] ... See full document
10
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
Natural Language to Structured Query Generation via Meta Learning
... conventional supervised training, a model is trained to fit all the training ...different learning protocol that treats each example as a unique pseudo-task, by reducing the original learning problem ... See full document
7
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
... of learning uni- versal representations of sentences, ...on learning word embeddings, most current approaches consider learning sen- tence encoders in an unsupervised manner like SkipThought (Kiros ... See full document
11
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
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 ...spoken language corpus was collected through ... See full document
9
Large Scale Transfer Learning for Natural Language Generation
... of natural lan- guage processing (NLP) has witnessed the emer- gence of transfer learning methods which have significantly improved the state of the art (Dai and Le, 2015; Peters et ...machine ... See full document
6
Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning
... Language understanding (LU) and dia- logue policy learning are two essential components in conversational ...improves language understanding and dialogue pol- icy learning tasks ... See full document
6
Multi task Learning for Natural Language Generation in Task Oriented Dialogue
... a language modeling task on human- generated responses as an unconditioned comple- mentary process that brings in more language- related elements, without the intervention of re- quired MR ...of ... See full document
6
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
5
Linguistic Meaning and Knowledge Representation in Automatic Understanding of Natural Language
... LINGUISTIC MEANING AND KNOWLEDGE REPRESENTATION IN AUTOMATIC UNDERSTANDING OF NATURAL LANGUAGE LINGUISTIC MEANING AND KNOWLEDGE REPRESENTATION IN AUTOMATIC UNDERSTANDING OF NATURAL LANGUAGE Eva Haji~o[.] ... See full document
9
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi Supervised Learning Method
... + log p(W) + β log p(Θ). (7) Here, β (> 0 ) is a combination weight. W and Θ can be estimated as the values that maximize J for a fixed β value. The local optimal solu- tion of W and Θ around an initial value can be ... See full document
10
Sentence Subjectivity Detection with Weakly Supervised Learning
... model learning, where the only input to the model is a small set of domain independent subjectivity lexical ...model learning by modifying the Dirichlet priors of topic-word ... See full document
9
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... generation - multilingual information retrieval - multilingual natural language interfaces - multilingual dialogue systems - multilingual message understanding systems - corpus-based and[r] ... See full document
7
WSLLN:Weakly Supervised Natural Language Localization Networks
... Weakly Supervised Localization has been stud- ied extensively to use weak supervisions for ob- ject detection on images and action localization in videos (Oquab et ...weakly supervised ap- proaches (Tang et ... See full document
7
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
... task-independent language understanding: building machine learning models that can learn to do most of the hard work of language understanding before they see a single example of the ... See full document
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