word sense disambiguation using label propagation based semi supervised learning

Ngày tải lên: 23/03/2014, 19:20

... traditional semi- supervised learning methods in that they use graph structure to smooth the labeling function. To the best of our knowledge, no work has been done on using graph based semi- supervised learning algorithms ... WM3, : first word, last word, second word, third word, in C mid when at least two words in C mid 6) WEL1, WEL2, : first word, second word, before e 1 7) WER1, WER2, : first word, second word, after ... 2002. Learning from Labeled and Unlabeled Data with Label Propa- gation. CMU CALD tech report CMU-CALD-02-107. Zhu Xiaojin, Ghahramani Zoubin, and Lafferty J. 2003. Semi- Supervised Learning Using...

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 ... Similar- ity on the Taxonomy of Wordnet. In the 3rd Inter- national WordNet Conference (GWC-06), Jeju Is- land, Korea. Yarowsky, D. (1992). Word Sense Disambiguation Using Statistical Models of ... lexical hub to disambiguate word sense, using both syn- tagmatic and paradigmatic relations of words. It only employs the semantic net- work of WordNet to calculate word simi- larity, and the...

Ngày tải lên: 08/03/2014, 02:21

... 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 ... previ- ous supervised methods can be classified into two major ones; approach based on association, and ap- proach based on selectional restriction. The former uses some words around a target word, ... proto- type paths prepared for each sense of the target word. Step 3. Find a summation of similarity between each prototype and input path for each sense. Step 4. Select the sense with the maximum valueof the...

Ngày tải lên: 08/03/2014, 04:22

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Ngày tải lên: 23/03/2014, 20:21

... lim- ited amount of labeled data, i.e., correctly labeled (true/false entailment) sentences. Recent research indicates that using labeled and unlabeled data in semi- supervised learning (SSL) environment, ...  d characterizing the entailment information between them. 3 Graph Based Semi- Supervised Learning for Entailment Ranking We formulate semi- supervised entailment rank scores as follows. Let each data ... SVM and our graph based SSL method with no summarization to learn models using labeled training and testing datasets. For SSL we used the training as labeled and testing as unlabeled dataset in...

Ngày tải lên: 20/02/2014, 07:20

... matrix of soft label assign- ments, with ˆ Y vl representing the score of label l on node v. A graph -based SSL computes ˆ Y from {G, SY }. 2.2 Label Propagation (LP-ZGL) The label propagation method ... ∈ V is labeled. That is, S identifies the labeled nodes in the graph. C is the set of labels, with |C| = m representing the total number of labels. Y is the n ì m matrix storing training label ... class. This line of work has evolved to incorporate ideas from graph -based semi- supervised learning in extrac- tion from semi- structured text (Wang and Cohen, 2007), and in combining extractions...

Ngày tải lên: 07/03/2014, 22:20

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Ngày tải lên: 31/03/2014, 21:20

... 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 ... 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 ... for Machine- Learning of Word Sense Disambiguation. Natural Language Engineering, Special Issue on Word Sense Disambiguation Systems, 8:311325. N. Ide, T. Erjavec, and D. Tusá. 2002. Sense discrimi- nation...

Ngày tải lên: 20/02/2014, 05:20

... 455-462. Zheng-Yu Niu, Dong-Hong Ji, and Chew-Lim Tan. 2005. Word Sense Disambiguation Using Label Propagation Based Semi- Supervised Learning. In Proc. of the 43 th Annual Meeting of the Association ... weakly supervised learning or semi- supervised learning method. This rein- forcement algorithm dates back to Gale et al. (1992a). Their investigation was based on a 6- word test set with 2 senses ... approach based on Equivalent Pseudowords (EPs) to tackle Word Sense Disambiguation (WSD) in Chinese language. EPs are par- ticular artificial ambiguous words, which can be used to realize unsupervised...

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 ... for 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 ... July. R. Mihalcea and E. Faruque. 2004. SenseLearner: Min- imally supervised word sense disambiguation for all words in open text. In Proceedings of ACL/SIGLEX Senseval-3, Barcelona, Spain, July. R....

Ngày tải lên: 20/02/2014, 15:20

... Resnik, 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, ... KPCA -based model can significantly outperform state-of-the-art results from both naăve Bayes as well as maximum entropy models, for supervised word sense disambiguation. The fact that our KPCA -based ... methods for kernel -based 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...

Ngày tải lên: 20/02/2014, 16:20

... word translation disambiguation (in general, word sense disambiguation) can be viewed as that of classification and can be addressed by employing a supervised learning method. In such a learning ... translation of the ambiguous English word, given an English sentence which contains the word. Word translation disambiguation is actually a special case of word sense disambiguation (in the example ... corresponds to the sense of ‘factory’ and ‘zhiwu’ corresponds to the sense of ‘vegetation’). 1 Yarowsky (1995) proposes a method for word sense (translation) disambiguation that is based on a...

Ngày tải lên: 20/02/2014, 21:20