[PDF] Top 20 Improving Summarization of Biomedical Documents Using Word Sense Disambiguation
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Improving Summarization of Biomedical Documents Using Word Sense Disambiguation
... We have also observed that the ROUGE scores differ considerably from one document to others. To understand the reasons of these differences we examined the two documents with the highest and lowest ROUGE scores ... See full document
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Co-occurrence graphs for word sense disambiguation in the biomedical domain
... obtained using either the NLM- based Graph or the Joint Graph, both built with the same number of documents, and the achieved results confirm this intuition: ...10,000 documents, 77.45% against ... See full document
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Improving Word Sense Disambiguation Using Topic Features
... The 20 Newsgroups corpus yields the best result if used individually. It has a relatively larger corpus size at 1.7 million words in total and also a well bal- anced topic distribution among its documents, rang- ... See full document
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Using Parallel Corpora for Word Sense Disambiguation
... (2007) word aligned the translations of Or- well’s 1984 (Dimitrova et ...pair-wise word align- ment of nouns, verbs, adjectives, and adverbs us- ing GIZA++ (Och, ...bilingual word alignments ... See full document
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Using Wikipedia for Automatic Word Sense Disambiguation
... given word, we decided to use instead the anno- tations collected directly from the Wikipedia ...the disambiguation page, but to related ...performed using a concept that is similar, but not ... See full document
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Multilingual Word Sense Disambiguation Using Wikipedia
... the word alignments. Given a target word in an English sentence, we used the word align- ments to identify the position of the target word translation in the translated ... See full document
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Evaluating Feature Extraction Methods for Knowledge based Biomedical Word Sense Disambiguation
... cal Word Sense Disambiguation ...ods: Word Embeddings using Continu- ous Bag of Words and Skip Gram, Sin- gular Value Decomposition (SVD), and Principal Component Analysis ...with ... See full document
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Word Sense Disambiguation Using Statistical Methods
... Probabilities of French translations Figure 5: Senses for the English word cent Pleased with these results, we incorporated sense-assignment questions for the 500 most common English wor[r] ... See full document
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Word Sense Disambiguation Using Decomposable Models
... In our approach to disambiguation, a contextual feature is judged to be informative i.e., correlated with the sense tag of the ambiguous word if the model for independence between that f[r] ... See full document
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Word Sense Disambiguation using a Bidirectional LSTM
... for Word Representation (GloVe), introduced by Pennington et ...statistics. Word embed- dings are trained in an unsupervised fashion, typically on large amounts of data, and is able to capture fine grained ... See full document
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Word Sense Disambiguation using Static and Dynamic Sense Vectors
... another sense vectors for each sense using the retrieved context ...the sense vectors produced by the automatic selective sampling method are changed according to test samples and their ... See full document
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Improving the Collocation Extraction Method Using an Untagged Corpus for Persian Word Sense Disambiguation
... of using association measures directly, this has considered the issue of collocation extraction as a classification issue for the first time and has considered these 82 measures as training features to train ... See full document
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A Review on Word Sense Disambiguation
... each word that needs to be ...all-words disambiguation. All-words disambiguation methods have an advantage over what is termed lexical-sample disambiguation methods because lexical-sample ... See full document
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Improving Japanese Zero Pronoun Resolution by Global Word Sense Disambiguation
... verb sense disambiguation as the case frame selection (Step ...verb sense disambiguation results are cached and applied globally in the same ... See full document
7
Subjectivity Word Sense Disambiguation
... of sense inventories for WSD. They aim for a more coarse- grained sense inventory to overcome performance shortcomings related to fine-grained sense distinc- ...the sense that we reduce all ... See full document
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Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... each word is located in a major category. In order to disambiguate word senses they have used the Roget’s Thesaurus ...a word can be ...cator word is the log of words salience as shown in ... See full document
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Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP CoNLL)
... Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu.. Large Margin Synchronous Generation and its Application to Sentence Compression Tr[r] ... See full document
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Word Sense Disambiguation using a dictionary for sense similarity measure
... of disambiguation using a se- mantic similarity derived from WordNet is (Ab- ney and Light, 1999); it sees the task as a Hid- den Markov Model, whose parameters are es- timated from corpus data, so this is ... See full document
7
Improving Statistical Machine Translation Using Word Sense Disambiguation
... when using the predictions of a Senseval WSD system in conjunction with a standard word-based SMT sys- tem: we reported slightly lower BLEU scores de- spite trying to incorporate WSD using a number ... See full document
12
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
... lexical disambiguation, a phenomenon that has previously been remarked to be challenging for ...frequent word senses, but not for infrequent word ...a) sense labels to content words and b) ... See full document
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