[PDF] Top 20 Knowledge Representation and Sense Disambiguation for Interrogatives in E-HowNet
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Knowledge Representation and Sense Disambiguation for Interrogatives in E-HowNet
... of HowNet are (a) its inherent properties are derived from encoded feature relations in addition to hypernym concepts, and (b) information regarding conceptual differences between different concepts and ... See full document
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Knowledge Representation for Interrogatives in E-HowNet
... of interrogatives and listed the main research themes as follows: the types of question, interrogative particles, querying focus and its answer, degree of doubt and special interrogative sentences pattern ... See full document
15
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
... More recently, Luo et al. (2018b) propose to leverage the gloss information from WordNet and model the semantic relationship between the con- text and gloss in an improved memory network. Similarly, Luo et al. (2018a) ... See full document
6
Extended HowNet 2 0 – An Entity Relation Common Sense Representation Model
... the sense similarity and dissimilarity of words and ...represents knowledge about lexical concepts and performs the following functions is ...associated knowledge can be coded and ...independent ... See full document
7
A Step toward Compositional Semantics: E-HowNet a Lexical Semantic Representation System
... use HowNet to achieve mechanical natural language ...represents knowledge about lexical concepts and performs semantic composition and sense ...applying HowNet to semantic ...extending ... See full document
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Combining Relational and Distributional Knowledge for Word Sense Disambiguation
... one representation per surface form, which makes it hard to search ...dent sense of mouse 1 or to reliably use the vec- tor in machine learning methods that generalize from the semantics of the word (Erk ... See full document
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A Semantic Composition Method for Deriving Sense Representations of Determinative-Measure Compounds in E-HowNet
... of E-HowNet representation from 939 ...produce E-HowNet representations for the rest of 61 words because of undefined ...After disambiguation processes, the resulting 1000 DM ... See full document
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Unsupervised, Knowledge Free, and Interpretable Word Sense Disambiguation
... word sense is represented as a cluster of words. Next, the induced sense inventory is used as a pivot to generate sense representations by aggregation of the context clues of cluster ...the ... See full document
6
A Unified Model for Word Sense Representation and Disambiguation
... Knowledge-based approaches exploit knowl- edge resources (such as dictionaries, thesauri, on- tologies, collocations, etc.) to determine the senses of words in context. However, it has been shown in (Cuadros and ... See full document
11
An Unsupervised Approach to Chinese Word Sense Disambiguation Based on Hownet
... matrix of a word and calculates the importance of the context to depict the word, so that the precision position of the word in vector space can be located. However, a lot of information provided by the word sequence in ... See full document
10
Modality and Modal Sense Representation in E-HowNet
... from HowNet (Dong & Dong 2006), represents an effort to define our knowledge of concepts in the ...WordNet), E-HowNet defines a word by specifying the relationship, as indicated by a set ... See full document
10
Chinese Word Sense Disambiguation with PageRank and HowNet
... Word sense disambiguation, whose purpose is to identify the correct sense of a word in context, is one of the most important problems in natural language ...approaches: knowledge-based and ... See full document
6
Knowledge Base Unification via Sense Embeddings and Disambiguation
... The breakthrough of the Open Information Ex- traction (OIE) paradigm opened up a research area where Web-scale unconstrained Information Extraction systems are developed to acquire and formalize large quantities of ... See full document
11
Improving Word Sense Disambiguation with Linguistic Knowledge from a Sense Annotated Treebank
... contrast, knowledge-based systems require only a knowledge base and no additional corpus-dependent ...popular knowledge-based disambiguation approach has been the use of popular graph-based ... See full document
8
Distributional Lesk: Effective Knowledge Based Word Sense Disambiguation
... Word Sense Disambiguation method that uses a combination of a lexical knowledge-base and ...a sense and the ...art knowledge-based ... See full document
8
Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... In order to investigate how the window sizes around the ambiguous word influences WSD performance, we conduct experiment with different values for within-sentence window size n 1 and cross-sentence window size n 2 . ... See full document
10
Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
... Word Sense Disambiguation using Optimised Combinations of Knowledge Sources Word Sense Disambiguation using Optimised Combinations of Knowledge Sources Y o r i c k W i l k s a n d M a r k S t e v e n[.] ... See full document
5
Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation
... acquiring knowledge from the Web for noun sense ...the sense of a target word should be a part of. The correct sense is chosen based on a combination of the strength given from similarity and ... See full document
8
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... correct sense for the word “company” should be “an institution created to conduct ...context knowledge base there exist the depen- dency relations “hire → institution” or “institution → large”, then we ... See full document
9
An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation
... Before concluding, we note that the SENSEVAL- 2 participating system UMD-SST (Cabezas et al., 2001) also used SVM, with surrounding words and local collocations as features. However, they re- ported recall of only 56.8%. ... See full document
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