[PDF] Top 20 Embeddings for Word Sense Disambiguation: An Evaluation Study
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Embeddings for Word Sense Disambiguation: An Evaluation Study
... retrofitted embeddings provided lower per- formance improvement when added on top of standard WSD ...retrofitted embeddings interestingly pro- vided the best performance, improving the vanilla WSD system ... See full document
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A Comparison of Word Embeddings for English and Cross Lingual Chinese Word Sense Disambiguation
... conclude, word embeddings have been used in several methods to improve on state-of-the-art re- sults in ...different word embeddings and parameters affect performance of baseline methods of ... See full document
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Multi sense Embeddings through a Word Sense Disambiguation Process
... analysis, word embeddings, machine learning, artificial neural networks (NN) and ...2014), word embeddings techniques have received much attention in the NLP commu- ...2013), word ... See full document
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Semi Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
... supervised word sense disambiguation (WSD) systems is that they only treat a word as a discrete en- ...(word embeddings) can pro- vide valuable information and thus improve ... 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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Supervised Word Sense Disambiguation with Sentences Similarities from Context Word Embeddings
... a word has been rep- resented using a high-dimensional sparse Bag-of- Words (BoW) ...in word embeddings, where words meanings are represented by low-dimensional and dense vectors using deep ...With ... See full document
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All words Word Sense Disambiguation Using Concept Embeddings
... All-words word sense disambiguation (all-words WSD) is the task of identifying the senses of all words in a ...the sense of a word depends on the context, such as the surrounding words, ... See full document
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Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
... prove word sense disambiguation in neural ma- chine translation by allowing the model to learn sense-specific word ...external word sense disambigua- tion. While the first ... See full document
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Zero shot Word Sense Disambiguation using Sense Definition Embeddings
... Word Sense Disambiguation (WSD) is a long- standing but open problem in Natural Lan- guage Processing ...Most-Frequent- Sense (MFS) for words unseen during train- ...rating Sense ... See full document
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Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation
... the sense of each word in this graph is PageRank (Page et ...models word senses using a variant of the Latent Dirichlet Allocation framework (Blei et ...with sense distributions modeled with a ... See full document
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Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
... learning word embeddings or train- ing neural language models, and (2) automatically constructing high-quality sense-annotated corpora to be used by supervised WSD ... See full document
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A Contrastive Evaluation of Word Sense Disambiguation Systems for Finnish
... using word embeddings has been used previously by Melamud et ...that word senses are now represented by all mem- orised training instances, each themselves represented by the aggregation of ... See full document
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A word sense disambiguation corpus for Urdu
... Word2Vec embeddings [55] were used to create another WSD ...nearest word on the basis of provided context words, in contrast, in the skip-gram model a system aim to predict nearest words on the basis of a ... See full document
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Exploring the impact of word embeddings for disjoint semisupervised Spanish verb sense disambiguation
... For general word sense disambiguation (WSD) the state of the art at the time of writing this work is It Makes Sense (IMS) [23]. IMS presents a flexible framework which allows users to ... See full document
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An Empirical Study on Class Based Word Sense Disambiguation
... a word. In the sense approach, one classifier is generated for each word sense, and the classifiers choose between the possible senses for the ...concrete word are all the examples of ... See full document
9
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
... Entailment, Word Similarity) and define a bias correction method for non-expert annota- ...manual evaluation of automatic translation qual- ity and experiments with weighed voting to com- bine multiple ... See full document
9
Making Sense of Word Embeddings
... a sense inventory from raw cor- pora. Such unsupervised sense induction meth- ods fall into two categories: context clustering, such as (Pedersen and Bruce, 1997; Sch¨utze, 1998; Reisinger and Mooney, 2010; ... See full document
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Word Sense Disambiguation Using OntoNotes: An Empirical Study
... of sense granularity, and the lack of both training and test ...information, word senses, ...ually sense-tagged more than 40,000 examples be- longing to hundreds of noun and verb types with an ITA of ... See full document
9
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... NED evaluation, compared to 55%); supervised sys- tem variants also score much higher (84% ...comparing evaluation numbers across tasks requires extreme ... See full document
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Word sense disambiguation and information retrieval
... Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy ... See full document
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