nonliteral word sense identification

Ngày tải lên: 17/03/2014, 08:20

... 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 ... 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 ... testing phase. This system also differs from the Uvt-WSD and ParaSense systems in the sense that the word senses are derived from WordNet, whereas the other systems do not use any external resources. The...

Ngày tải lên: 20/02/2014, 05:20

... all WordNet synonyms of the target word, under all its possible senses, and picking randomly one of the synonyms as the source word. For example, the word ‘disc’ is one of the words in the Sense- val ... target word, providing a decision criterion for sense matching. In other words, we expect that under a matching sense the target word would oc- cur in prototypical contexts of the source word. To ... were excluded since their sense annotation in Senseval-3 is not based on WordNet senses. The Senseval dataset includes a set of example occurrences in context for each word, split to training and...

Ngày tải lên: 20/02/2014, 12:20

... 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 ... monosemous word is usually synonymous to some polysemous words. For example the words "信守, 严守, 恪守 遵照 遵从 遵循 , , , , 遵守 " has similar meaning as one of the senses of the ambiguous word ... 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 ... and feature selection. A sep- arate word expert” is learned for each ambiguous word, using a concatenated corpus of English sense- 53 Training SENSEVAL-2 SENSEVAL-3 Model size Precision Recall...

Ngày tải lên: 20/02/2014, 15:20

... 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 ... text analysis. In Proceedings 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 ... with sense class 1 : training example with sense class 2 : test example with unknown sense class : test example with predicted sense first principal “ quasi-axis” class 2 (correct sense...

Ngày tải lên: 20/02/2014, 16:20

... topic of this paper is word sense induction, that is the automatic discovery of the possible senses of a word. A related problem is word sense disambiguation: Here the senses are assumed to ... the overall be- havior of a word in a corpus. If a word is se- mantically ambiguous, this means that these vectors are mixtures of all its senses. Inducing a word s senses therefore involves ... Problem of Automatic Word Sense Induction Reinhard Rapp University of Mainz, FASK D-76711 Germersheim, Germany rapp@mail.fask.uni-mainz.de Abstract Recent studies in word sense induction...

Ngày tải lên: 20/02/2014, 16:20

... two characters into a word- structure, which forms the word haizi 'children'. * top-down influences The formation of the word- structure haizi activates the WORD 12 node in the network ... identifying words. After some word- structures have been built, other types of codelets begin to decipher the syntactic and semantic relations between these struc- tures. From then on, the word identification ... situation. The activation of the WORD node in turn causes the posting of top-down codelets scouting for other would-be word- structures. Thus, single-character words such as ta 'she',...

Ngày tải lên: 20/02/2014, 21:20

... of the SENSEVAL-3. Barcelona. Niu, Zheng-Yu, Dong-Hong Ji, and Chew-Lim Tan. 2007. I2r: Three systems for word sense discrimination, chinese word sense disambiguation, and english word sense dis- ambiguation. ... sam- pling a sense from the sense distribution, then choosing a word from the sense- context distribu- tion. P(s i = j) denotes the probability that the jth sense was sampled for the ith word token ... plausible senses for drug on the WSJ corpus (top half of Table 1). Sense 1 corresponds to the “enforcement” sense of drug, Sense 2 refers to “medication”, Sense 3 to the “drug industry” and Sense...

Ngày tải lên: 22/02/2014, 02:20

... 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, ... @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 ... difference in sense priors (i.e., the proportions of the different senses of a word) between BC and WSJ. For in- stance, the noun interest has these 6 senses in the DSO corpus: sense 1, 2, 3,...

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 ... 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 ... Then for each context word we retrieve its corresponding words in each word list and calculate the similarity be- tween the target and these words including the context words. As a result we...

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

... Introduction In 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 the different senses of each word were the same between BC and WSJ. We can simi- larly choose BC examples such that the sense priors in the BC training data adhere to the sense priors in the...

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 ... 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 Perl modules. 1 Introduction Many words ... Relatedness 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. ... 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. ... the noun senses in this test set. For instance, it only considers the homonymic senses 1, 2 and 3 of spade, yet, in the current test set, spade has 6 senses, due to the exis- tence of sub senses. 26...

Ngày tải lên: 08/03/2014, 04:22

Ngày tải lên: 08/03/2014, 04:22

Ngày tải lên: 08/03/2014, 04:22

Ngày tải lên: 08/03/2014, 06:20

Ngày tải lên: 08/03/2014, 07:20