[PDF] Top 20 The interaction of knowledge sources in word sense disambiguation
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The interaction of knowledge sources in word sense disambiguation
... The CLS also produced a semantic tagger (Harley and Glennon 1997), a commer- cial product that tags words in text with senses from their MRD. The tagger consists of four sub-taggers running in parallel, with their ... See full document
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The Interaction of Knowledge Sources in Word Sense Disambiguation
... Word sense disambiguation WSD is a computational linguistics task likely to benefit from the tradition of combining different knowledge sources in artificial in telligence research.. A n[r] ... See full document
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Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
... We describe a system which performs word sense disambiguation on all content words in free text by combining different knowledge sources: semantic preferences, dictionary definitions and[r] ... See full document
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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
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An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation
... of knowledge sources and super- vised learning algorithms for word sense disambiguation on SENSEVAL-2 and SENSEVAL-1 ...Our knowledge sources include the part-of-speech of ... See full document
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Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... ambiguous word within the article actually have mutual influences and contain useful clues which will helpful to deduce word sense from each ...ambiguous word from the same ...the ... See full document
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Knowledge Rich Word Sense Disambiguation Rivaling Supervised Systems
... of knowledge injected into WordNet is of high quality and, more importantly, it enables sim- ple knowledge-based WSD systems to perform as well as the highest-performing supervised ones in a coarse-grained ... See full document
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Distributional Lesk: Effective Knowledge Based Word Sense Disambiguation
... The quest of automatically finding the correct meaning of a word in context, also known as Word Sense Disambiguation (WSD), is an important topic in natural language processing. Although the ... See full document
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Enriching Wordnet for Word Sense Disambiguation
... we should try to capture the distributional constraints and other such relationships between different concepts of WordNet into account. For example the concepts of “cigarette” and “ash” have a relationship between them. ... See full document
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Improving Word Sense Disambiguation with Linguistic Knowledge from a Sense Annotated Treebank
... the knowledge graph by adding syntag- matic information, ...contextual knowledge about words and word ...WordNet sense annotations in the same ...attached Word- Net identifiers have ... See full document
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A Review on Word Sense Disambiguation
... Knowledge-based methods rely on information that can be extracted or inferred from a knowledge source, such as a dictionary, thesaurus or lexical ...the knowledge-based methods over the supervised ... See full document
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Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
... LPPL This paper tries to proof that using an appropriate overall nouns method to combine those heuristics we can disam15,953 10,506 headwords biguate the genus terms with reasonable prec[r] ... See full document
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Using Multiple Knowledge Sources for Word Sense Discrimination
... To discriminate senses, an understander can consider a diversity of information, including syntactic tags, word frequencies, collocations, semantic context, role-related expectations, an[r] ... See full document
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Automated Verb Sense Labelling Based on Linked Lexical Resources
... in knowledge-based ...target word and sense defi- nitions in a given sense inventory, they assign the sense with the highest overlap as disambiguation ... See full document
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A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... Word sense disambiguation is the process of determining which sense of a word is used in a given ...languages, word sense disambiguation has been exten- sively ... See full document
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Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
... for word sense disambiguation using a bilin- gual comparable corpus together with sense definitions by translations into another language was ...method, knowledge for WSD, ...mous ... See full document
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Combining Relational and Distributional Knowledge for Word Sense Disambiguation
... re- sources are large, manually constructed semantic networks intended to describe the language in gen- eral rather than any specific ...in Word- Net the hierarchy is ...specific sense of a ... See full document
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Sense Embeddings in Knowledge Based Word Sense Disambiguation
... (NLP), Word Sense Disambiguation (WSD) aims at assigning the most probable sense of a word in a document, given a pre-defined sense ...of sense usage examples coming from ... See full document
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GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
... ant of GAS which is a gloss-augmented variant of the memory network by extending gloss knowl- edge. CAN s and HCAN (Luo et al., 2018a) are sentence-level and hierarchical co-attention neural network models which leverage ... See full document
6
Random Walks for Knowledge Based Word Sense Disambiguation
... of the Lesk algorithm (Lesk 1986), evaluated on S07AW. TKB-UO (Anaya-S´anchez, Pons-Porrata, and Berlanga-Llavori 2007), which was evaluated in S07CG, clusters WordNet senses and uses so-called topic signatures based on ... See full document
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