[PDF] Top 20 Using Parallel Corpora for Word Sense Disambiguation
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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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ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation
... of using parallel corpora for sense discrimination ...use parallel corpora to extract translation labels and features in an automated way and (2) the assump- tion that ... See full document
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Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets
... Word Sense Disambiguation (WSD) is well- known as one of the more difficult problems in the field of natural language processing, as noted in (Gale et al, 1992; Kilgarriff, 1997; Ide and Véronis, ... See full document
7
Expectations of Word Sense in Parallel Corpora
... of word sense and parallel corpora, we derived empirical expectations on the shared meaning of tokens of the same type appear- ing in the same ...domain corpora used ...first ... See full document
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Using Parallel Texts and Lexicons for Verbal Word Sense Disambiguation
... 2.3 CzEngVallex: Valency lexicon mapping CzEngVallex (Urešová et al., 2015a; Urešová et al., 2015b) is a manually annotated Czech-English valency lexicon linking the Czech and English va- lency lexicons, PDT-Vallex and ... See full document
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Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study
... of word sense disam- biguation (WSD) is the lack of manually sense-tagged data required for supervised ...acquire sense- tagged training data from English-Chinese parallel ... See full document
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Enriching Wordnet for Word Sense Disambiguation
... treat word translations as word senses, an approach that is becoming increasingly feasible because of the availability of large multilingual parallel corpora that can serve as training ... See full document
6
Translation-oriented Word Sense Induction Based on Parallel Corpora
... Word Sense Disambiguation (WSD) is an intermediate task that serves as a means to an end defined by the application in which it is to be ...varying disambiguation needs which should have an ... See full document
7
Using Wikipedia for Automatic Word Sense Disambiguation
... require parallel texts, which may be difficult to ...Zipfian sense distribution, unlike the equal distributions typically obtained with the meth- ods that rely on the use of monosemous relatives or ... See full document
8
Word Sense Disambiguation vs Statistical Machine Translation
... whether word sense disambiguation—at least as it is typically currently formulated—is useful for statis- tical machine ...task using a state-of-the-art su- pervised WSD system and a typical ... See full document
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Word Sense Disambiguation Corpora Acquisition via Confirmation Code
... lecting corpora (von Ahn, ...of word images from scanned old books. Two scanned word images are shown to a user at the same ...one word and does not know the ...known word. Because the ... See full document
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Multilingual Word Sense Disambiguation Using Wikipedia
... gual parallel corpus in four languages (English, German, Spanish, and French) is generated us- ing Google ...WSD using a different feature set and machine learning algo- ... See full document
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Korean Word-Sense Disambiguation Using Parallel Corpus as Additional Resource
... same word, some of them are showed up in full-Kanji, some are full-Hiragana, and some are mixture form of Kanji and Hira- gana in the corpus ...Japanese word, then we used this information to check whether ... See full document
6
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 ...WSD corpora are typically small in size, owing to an expensive annotation ... See full document
12
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 ...mous word and the clues, i.e., ... See full document
7
Word Sense Disambiguation Using Statistical Models of Roget’s Categories Trained on Large Corpora
... Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Davi[.] ... See full document
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An Unsupervised Method for Word Sense Tagging using Parallel Corpora
... Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics ACL, Philadelphia, July 2002, pp... UWVXYTZMY[X\]^X`_RaMbdcH[[ebHYf]YgYh]Yh&iKY1\*hjbk_Rhlm`_Rl*Yn[r] ... See full document
8
Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... each word against all words previously ...current word and any possible sense of a previous word, a connection is established between the appropriate words and the ...each sense of an ... See full document
10
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
6
Subjectivity Word Sense Disambiguation
... We compare the performance of the original neutral/polar classifier ( O N/P ) and sense-aware variants using R3 and R4. The results are in Table 4. This time, the table does not include a combined method, ... See full document
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