[PDF] Top 20 Using Multiple Knowledge Sources for Word Sense Discrimination
Has 10000 "Using Multiple Knowledge Sources for Word Sense Discrimination" found on our website. Below are the top 20 most common "Using Multiple Knowledge Sources for Word Sense Discrimination".
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
30
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
8
Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces
... of using very large amounts of training data versus smaller amounts where each instance includes the tar- get word (as is the case in this ...of sources, including the British National Corpus, the ... See full document
8
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
5
Enriching Wordnet for Word Sense Disambiguation
... linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which sense of a word ...the word has ... See full document
6
Improving Word Sense Disambiguation with Linguistic Knowledge from a Sense Annotated Treebank
... of knowledge-based and supervised systems for WSD, which demonstrates that the two ap- proaches can boost one another, due to the funda- mentally different types of knowledge they utilise (paradigmatic ...a ... See full document
8
Towards Dynamic Word Sense Discrimination with Random Indexing
... Data for fitting and evaluating the linear re- gression models came from the STS development and test data, consisting of sentence pairs with a gold standard similarity score. The STS 2012 development data stems from the ... See full document
8
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
10
Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... WSD using collaborative ...the multiple sentences contain the same ambiguous word within the article actually have mutual influences and contain useful clues which will helpful to deduce word ... See full document
10
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... 3 using the WordNet 2.1 sense repository that is adopted by SemEval-2007 Task ...on multiple computers, and the whole process will be shortened ... See full document
9
The interaction of knowledge sources in word sense disambiguation
... combined using a simple weighting scheme (similar to McRoy’s; see Section ...a knowledge source in a particular instance but always assigns the same overall weight to ... See full document
30
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
Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar Based Approach
... For each training sentence with an occurrence of w, LEXAS extracts the parts of speech POS of words surrounding w, the morphological form of w, the words that frequently co-occur with w [r] ... See full document
8
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
30
Supervised Approach to Word Sense Disambiguation
... a word is activated by the use of the word in a particular ...a word/lexicon or a phrase has multiple meanings associated with ...it. Word Sense Disambiguation (WSD) aims to ... See full document
6
Adaptive Word Sense Disambiguation Using Lexical Knowledge in a Machine-readable Dictionary
... test using Grolier's Encyclopedia that instances of twelve words, bass, bow, cone, duty, galley, interest, issue, mole, sentence, slug, star, and taste, could be disambiguated with an average precision rate of ... See full document
42
Integrating WordNet and FrameNet using a Knowledge-based Word Sense Disambiguation Algorithm
... tic knowledge including wordnets for languages other than English [4], domain knowledge [17] or ontologies like SUMO [22] or the EuroWordNet Top Concept Ontology ... See full document
6
Using Distributional Similarity for Lexical Expansion in Knowledge based Word Sense Disambiguation
... Word sense disambiguation (WSD)—the task of determining which sense a word carries in a particular context—is a longstanding core research problem in computational ...used: knowledge- ... See full document
16
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
... Although word expert supervised WSD meth- ods perform better, they are less flexible than knowledge-based methods in the all-words WSD task (Raganato et ...all word types except the last ...best ... See full document
6
Related subjects