Báo cáo khoa học: "A Method for Word Sense Disambiguation of Unrestricted Text" potx
Báo cáo khoa học: "A Method for Word Sense Disambiguation of Unrestricted Text" potx
... density for a pair of words. We report an average accuracy of 80% for the first ranked sense, and 91% for the first two ranked senses. Extensions of this method for larger windows of more ... semantically untagged word1 - word2 pair (W1 - W2) OUTPUT: ranking the senses of one word PROCEDURE: STEP 1. Form a similarity list ]or each sense of one of the words. Pick one of the words, say ... and using WordNet, form a similarity list for each sense of that word. For this, use the words from the synset of each sense and the words from the hypernym synsets. Consider, for example,...
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Báo cáo khoa học: "Topic Models for Word Sense Disambiguation and Token-based Idiom Detection" pdf
... exploiting paraphrase information for thetarget senses rather than relying on the structure of WordNet as a whole.Topic models have also been applied to the re-lated task of word sense induction. ... lemmas for the target instances.4 Sense Paraphrases For word sense disam-biguation tasks, the paraphrases of the sense keysare represented by information from WordNet 2.1.(Miller, 1995). To ... English all-words task. In Proceedings of the 4th InternationalWorkshop on Semantic Evaluation (SemEval-2007).R. Navigli. 2006. Meaningful clustering of senseshelps boost word sense disambiguation...
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Báo cáo khoa học: "Domain Kernels for Word Sense Disambiguation" ppt
... state -of- the-art systems for Word Sense Disambiguation (WSD) are de-signed according to a supervised learning frame-work, in which the disambiguation of each word in the lexicon is performed ... the domain of the text in which the word is located is a crucial information for WSD. For example the (domain) polysemy among the COM-PUTERSCIENCE and the MEDICINE senses of the word virus ... Proceedings of the 43rd Annual Meeting of the ACL, pages 403–410,Ann Arbor, June 2005.c2005 Association for Computational LinguisticsDomain Kernels for Word Sense Disambiguation Alfio...
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Báo cáo khoa học: "Personalizing PageRank for Word Sense Disambiguation" docx
... thegraph for each target word in the context: for eachtarget word Wi, we concentrate the initial proba-bility mass in the senses of the words surroundingWi, but not in the senses of the ... numbers of iterations, and analyze therate of convergence of the algorithm. Figure 1 de-picts the performance of the Pprw2w method for different iterations of the algorithm. As before, thealgorithm ... subgraph of WordNet which con-nects the senses of the words in the input text,and then apply traditional PageRank over thesubgraph.• To use Personalized PageRank, initializing vwith the senses of...
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Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx
... word can only be aligned to one source word. Therefore, given a target word we can always identifywhich source word it is aligned to.Source alignment context feature: We anchor thetarget word ... source word and derive context features surrounding the alignedtarget word. Figure 2c shows a left target contextfeature of word “refers”. Our features are derived froma window of four words.Combining ... of the 49th Annual Meeting of the Association for Computational Linguistics, pages 211–219,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsGoodness: A Method...
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Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
... the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features of character ... The results of our evaluation show that the use of our proposed method as a post-processor for speech recognition is likely to make a significant contribution to the performance of speech translation ... Preparation of Error-Patterns: As the threshold value for the frequency of the occurrence, we employed a value of not less than 2, therefore we obtained 629 Error-Pattems using the 4321 results of...
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Báo cáo khoa học: "A Method for Relating Multiple Newspaper Articles by Using Graphs, and Its Application to Webcasting" pptx
... differentia words for its parent article, the word may represent a "turning point" in the story of the articles. For example, the word "state" is the dif- ferentia word for dT, ... article. Words in a rectangle are differentia words for the articles. These words show new information in the article, and make it easy to understand the content of the articles. If a word in ... (new) information. Known information consists of words shared by the beginning and ending points of an arc. When node X is adjacent to Y, the words are represented by (X fq Y). The known information...
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Báo cáo khoa học: "a Method for Automatic Evaluation of Machine Translation" pot
... appropriately modified for multiple reference translations and allowing for le-gitimate differences in word choice and word or-der. The main idea is to use a weighted average of variable length ... Proceedings of the 40th Annual Meeting of the Association for 2 The Baseline BLEU MetricTypically, there are many “perfect” translations of agiven source sentence. These translations may varyin word ... simplycounts up the number of candidate translation words(unigrams) which occur in any reference translationand then divides by the total number of words inthe candidate translation. Unfortunately, MT...
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Báo cáo khoa học: "A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora" doc
... Proceedings of the 12th Conference of the European Chapter of the ACL, pages 799–807,Athens, Greece, 30 March – 3 April 2009.c2009 Association for Computational LinguisticsMINT: A Method for Effective ... ; 1 PS,T ; 2 for each pair of articles (DS, DT) in AS,T do 3 for each named entity εS in DS do 4 YS ; // Set of candidates for εS. 5 for each candidate eT in ... second stage of the MINT method works on each pair of articles (DS, DT) in the collection AS,T and produces a set PS,T of NETEs. Each pair (εS, εT) in PS,T consists of an NE εS...
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Báo cáo khoa học: "A Tool for Deep Semantic Encoding of Narrative Texts" docx
... generation of biographies for question answering.In the pursuit of a complete and connected rep-resentation of the underlying facts of a story, ourannotation process involves the labeling of verbframes, ... semantic encodings of short fables.We present this tool as a stand-alone, re-usable resource for research in semanticsin which formal encoding of text, espe-cially in a narrative form, is required.1 ... type of anno-tation allows for machine learning on the thematicdimension of narrative – that is, the aspects thatunite a series of related facts into an engaging andfulfilling experience for...
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