superior word sense disambiguation

... of Table 1: Two of the Senseval-2 sense classes for the target word “art”, from WordNet 1.7 (Fellbaum 1998). Class Sense 1 the creation of beautiful or significant things 2 a superior skill large, ... the Senseval 2 English lexical sample task. It includes 73 target words, among which nouns, adjectives, adverbs and verbs. For each word, training and test instances tagged with WordNet senses ... and Jessica Stevens. Supervised sense tagging using support vector machines. In Proceedings of Senseval-2, Sec- ond International Workshop on Evaluating Word Sense Disambiguation Systems, pages...

Ngày tải lên: 20/02/2014, 16:20

... Cross-Lingual Word Sense Disambiguation task for all five target languages. 1 Introduction Word Sense Disambiguation (WSD) is the NLP task that consists in selecting the correct sense of a polysemous word ... Machine- Learning of Word Sense Disambiguation. Natural Language Engineering, Special Issue on Word Sense Disambiguation Systems, 8:311–325. N. Ide, T. Erjavec, and D. Tufis¸. 2002. Sense discrimi- nation ... classification- based approach to Word Sense Disambigua- tion. Instead of using a predefined monolin- gual sense- inventory such as WordNet, we use a language-independent framework where the word senses are derived...

Ngày tải lên: 20/02/2014, 05:20

... two words. An ambiguous word has the same number of EPs as of senses. Each EP's sense maps to a sense of ambiguous word. The semantic equivalence demands further equivalence at each sense ... 2003. Word Sense Disambiguation Within a Multilingual Framework. PhD thesis, University of Maryland College Park. Mona Diab. 2004a. Relieving the Data Acquisition Bottleneck in Word Sense Disambiguation. ... morpheme words for every sense of the word in construction of the EP, rich semantic information can be acquired in the training step and is an advantage for sense disambiguation. 2) Senseval-3...

Ngày tải lên: 20/02/2014, 12:20

... describes SENSELEARNER – a minimally supervised word sense disam- biguation system that attempts to disam- biguate all content words in a text using WordNet senses. We evaluate the accu- racy of SENSELEARNER ... minimally supervised word- sense dis- ambiguation that attempts to disambiguate all content words in a text using WordNet senses. The results ob- tained on both SENSEVAL-2 and SENSEVAL-3 data sets ... polyse- mous word within a given context. Applications such as machine translation, knowledge acquisition, com- mon sense reasoning, and others, require knowledge about word meanings, and word sense disambiguation is...

Ngày tải lên: 20/02/2014, 15:20

... @comp.nus.edu.sg Abstract Instances of a word drawn from different domains may have different sense priors (the proportions of the different senses of a word) . This in turn affects the accuracy of word sense disambiguation ... Chan and Hwee Tou Ng. 2005a. Scaling up word sense disambiguation via parallel texts. In Proc. of AAAI05. Yee Seng Chan and Hwee Tou Ng. 2005b. Word sense disambiguation with distribution estimation. In ... each sense of a word to predict the predominant sense. As in our earlier work (Chan and Ng, 2005b), we normalized the prevalence score of each sense to obtain estimated sense priors for each word, ...

Ngày tải lên: 08/03/2014, 02:21

... Re- latedness to Perform Word Sense Disambiguation. Sinopalnikova, A. (2004). Word Association Thesau- rus as a Resource for Building Wordnet. In GWC 2004. Sussna, M. (1993). Word Sense Disambiguation ... Issue on Senseval: Evaluating Word Sense Disambiguation Programs. Computers and the Humanities 34(1-2): 1-13. Kilgarriff, A. and J. Rosenzweig (2000). Framework and Results for English Senseval. ... of WordNet), we still can’t com- pletely rely on WordNet, which focuses on the paradigmatic relations of words, to fully cover the complexity of contextual happenings of words. Since the word...

Ngày tải lên: 08/03/2014, 02:21

... Introduction Many words have multiple meanings, depending on the context in which they are used. Word sense dis- ambiguation (WSD) is the task of determining the correct meaning or sense of a word in context. ... that in resolving sense ambiguity, a WSD system will be able to help an MT system to determine the correct translation for an ambiguous word. To determine the correct sense of a word, WSD systems ... extra English words pro- vided by Hiero+WSD, though appropriate, do not 39 translation choices for a word w were defined as the set of words or phrases aligned to w, as gathered from a word- aligned...

Ngày tải lên: 08/03/2014, 02:21

... words to the right and left of the verb, identified using POS tags, represented by has_narrow(snt, word_ position, word) : has_narrow(snt 1 , 1st _word_ left, mind). has_narrow(snt 1 , 1st _word_ right, ... the positions of the words, represented by has_narrow_trns(snt, word_ position, portuguese _word) : has_narrow_trns(snt 1 , 1st _word_ right, como). has_narrow_trns(snt 1 , 2nd _word_ right, um). … ... simple, containing only the sentence identifier and the sense of the verb in that sentence, i.e. sense( snt, sense) : sense( snt 1 ,voltar). sense( snt 2 ,ir). … Based on the examples, background...

Ngày tải lên: 08/03/2014, 02:21

... natural language, a word often assumes different meanings, and the task of determining the correct meaning, or sense, of a word in different contexts is known as word sense disambiguation (WSD). ... the dif- ference in sense priors (i.e., the proportions of the different senses of a word) between BC and WSJ. When the authors assumed they knew the sense pri- ors of each word in BC and WSJ, ... of active learn- ing for word sense disambiguation. In Proc. of HLT/NAACL06. H. T. Dang. 2004. Investigations into the Role of Lex- ical Semantics in Word Sense Disambiguation. PhD dissertation,...

Ngày tải lên: 08/03/2014, 02:21

... method of word sense disambiguation that com- putes the intended sense of a target word, using WordNet-based measures of seman- tic relatedness (Patwardhan et al., 2003). SenseRelate::TargetWord is ... algorithm. The disambiguation process is carried out by selecting that sense of the target word which is most related to the context words. Relatedness between word senses is mea- sured using the WordNet::Similarity ... Measure Context Target Sense Preprocessing Format Filter Sense Inventory Context Selection Postprocessing Pick Sense Figure 1: A generalized framework for Word Sense Disambiguation. modules...

Ngày tải lên: 08/03/2014, 04:22

... significance. L1 words that translate into the same L2 word are grouped into clusters; SALAAM identifies the appropriate senses for the words in those clusters based on the words senses’ proximity in WordNet. ... SENSEVAL-2: Second International Workshop on Evaluating Word Sense Disambiguation Systems. ACL SIGLEX, Toulouse, France. Mona Diab. 2004. An Unsupervised Approach for Boot- strapping Arabic Word ... GenCor (Mihalcea&Moldovan, 1999). GenCor creates seeds from monosemous words in WordNet, Sem- cor data, sense tagged examples from the glosses of polysemous words in WordNet, and other hand tagged data if available....

Ngày tải lên: 08/03/2014, 04:22

... sample task of SENSEVAL-2. We rely on two sources to decide on the sense classes of w: (i) The sense definitions in WordNet 1.7, which lists seven senses for the noun channel. Two senses are ... with sense distinctions across multiple languages. Ide et al. (2002) investigated word sense distinctions us- ing parallel corpora. Resnik and Yarowsky (2000) considered word sense disambiguation ... Word Sense Disambigua- tion Systems (SENSEVAL-2), pages 17-20. Yoong Keok Lee and Hwee Tou Ng. 2002. An empiri- cal evaluation of knowledge sources and learning al- gorithms for word sense disambiguation. ...

Ngày tải lên: 08/03/2014, 04:22

... the Special Issue on Word Sense Disambiguation: The State of the Art. Computational Linguistics, 24(1):1- 40. Adam Kilgarriff. 1998. Senseval: An exercise in eval- uating word sense disambiguation ... former uses some words around a target word, represented by n -word window. The latter uses some syntactic relations, say, verb-object, including necessarily a target word. However, there are some words ... similar context have the same sense (Charniak, 1993; Lin, 1997). That is, once we prepare the pro- totype sequences for each sense, we can determine the sense of the target word as one with the most similar...

Ngày tải lên: 08/03/2014, 04:22

... 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 ... of the words, say W2, 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. ... be- tween the sense i of the word X and all the senses of the words Y. The results are shown in the tables below where the conceptual den- sity calculated for the sense #i of word X is presented...

Ngày tải lên: 08/03/2014, 06:20

... 268 Word: cent Informant: Word to the left Information: .378 bits Sense 1 Sense 2 per 0 8 5 2 a one 4 7 Common informant values for each sense Pr(French I Sense 1) Pr(French [Sense ... each sense Sense 1 longtemps de UR quelques denx 1 plus trois Sense 2 le la l' ce les 1968 Comnmn informant values for each sense Pr(English [Sense 1) Pr(English [ Sense ... sense- disambiguation questions. FUTURE WORK Although our results are promising, this particular method of assigning senses to words is quite limited. It assigns at most two senses to a word, ...

Ngày tải lên: 08/03/2014, 07:20

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