a widecoverage word sense disambiguation system

Ngày tải lên: 23/03/2014, 16:20

... each word, training and test instances tagged with WordNet senses are provided. There are an av- erage of 7.8 senses per target word type. On average 109 training instances per target word are ... Springer-Verlag, New York, 1995. David Yarowsky and Radu Florian. Evaluat- ing sense disambiguation across diverse param- eter spaces. Natural Language Engineering, 8(4):293–310, 2002. David Yarowsky, ... are available. Note that we used the set of sense classes from Sen- seval’s ”fine-grained” rather than ”coarse-grained” classification task. The KPCA-based model achieves the highest ac- curacy, as...

Ngày tải lên: 20/02/2014, 16:20

... 2005. c 2005 Association for Computational Linguistics SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation Siddharth Patwardhan School of Computing University of Utah Salt Lake ... 55812 tpederse@d.umn.edu Abstract We have previously introduced a method of word sense disambiguation that com- putes the intended sense of a target word, using WordNet-based measures of seman- tic relatedness (Patwardhan ... sub-tasks, each of which is represented by a separate module. Each of the sequential sub-tasks or stages accepts data from a previous stage, per- forms a transformation on the data, and then passes on...

Ngày tải lên: 08/03/2014, 04:22

... Computational Linguistics. J. Stetina, S. Kurohashi, and M. Nagao. 1998. General word sense disambiguation method based on a full sentential context. In Us- age of WordNet in Natural Language ... verb and noun appear. First, Algorithm 1 was applied and search the Internet using AltaVista, for all possi- ble pairs V-N that may be created using re- vise and the words from the similarity ... Mihalcea and D.I. Moldovan. 1999. An au- tomatic method for generating sense tagged corpora. In Proceedings of AAAI-99, Or- lando, FL, July. (to appear). G. Miller, M. Chodorow, S. Landes,...

Ngày tải lên: 08/03/2014, 06:20

Ngày tải lên: 17/03/2014, 00:20

Ngày tải lên: 23/03/2014, 17:20

Ngày tải lên: 24/03/2014, 03:20

... translations (and probabil- 319 algorithm parameters in machine learning of language. Machine Learning, pages 84–95. I. Dagan and A. Itai. 1994. Word sense disambiguation using a second language ... similar. As all systems, viz. the two SemEval systems as well as the three flavors of the ParaSense system, were trained on the same Europarl data, the scores illus- trate the potential advantages ... results com- pared to the best systems that were evaluated on the SemEval-2010 Cross-Lingual Word Sense Disambiguation task for all five target languages. 1 Introduction Word Sense Disambiguation (WSD)...

Ngày tải lên: 20/02/2014, 05:20

... Computational Linguistics (ACL-2002), pages 343-351. Rada Mihalcea and Dan Moldovan. 2000. An Iterative Approach to Word Sense Disambiguation. In Proc. of Florida Artificial Intelligence Research ... of the Association for Computational Lin- guistics (ACL-1992), pages 249-256. Tanja Gaustad. 2001. Statistical Corpus-Based Word Sense Disambiguation: Pseudowords vs. Real Am- biguous Words. ... Church, and David Yarowsky. 1992b. Work on Statistical Methods for Word Sense Disambiguation. In Proc. of AAAI Fall Sym- posium on Probabilistic Approaches to Natural Language , pages 54-60....

Ngày tải lên: 20/02/2014, 12:20

... 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 on several stan- dard sense- annotated ... predicted word is different than the tar- get word, no annotation is produced, and the word is left for annotation in a later stage. 5 Evaluation The SENSELEARNER system was evaluated on the SENSEVAL-2 ... 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...

Ngày tải lên: 20/02/2014, 15:20

... sampling with incomplete infor- mation. Annals of Mathematical Statistics, 26(4). Yee Seng Chan and Hwee Tou Ng. 200 5a. Scaling up word sense disambiguation via parallel texts. In Proc. of AAAI05. Yee ... the two SENSEVAL tasks. This gave a set of 6 nouns for SENSEVAL-2 and 9 nouns for SENSEVAL- 3. For each noun, we gathered a maximum of 500 parallel text examples as training data, similar to what ... Linguistics and 44th Annual Meeting of the ACL, pages 89–96, Sydney, July 2006. c 2006 Association for Computational Linguistics Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation Yee...

Ngày tải lên: 08/03/2014, 02:21

... vertical interaction between the con- cepts that is much paradigmatic. Although WordNet can capture the fine- grained paradigmatic relations of words, another typical word relationship, syntagmatic ... Semantic 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 ... Sinopalnikova (2004) also reported that there are multiple relationships found in word associa- tion thesaurus, such as syntagmatic, paradigmatic relations, domain information etc. In this paper...

Ngày tải lên: 08/03/2014, 02:21

... some sense of w in the training data. To measure the accuracy of our WSD classifier, we evaluate it on the test data of SENSEVAL-3 Chi- nese lexical-sample task. We obtain accuracy that compares favorably ... introduced a hierarchical phrase-based sta- tistical MT system, Hiero, which achieves signifi- cantly better translation performance than Pharaoh (Koehn, 200 4a) , which is a state-of-the-art phrase- based ... translation. Later, it is determined that the most number of words any candidate translation has is two words. Since among all the 2 -word candi- date translations, the translation “every month” has the...

Ngày tải lên: 08/03/2014, 02:21

... user manuals, newspa- pers and European Parliament proceedings. This corpus was automatically annotated with the trans- lation of the verb using a tagging system based on parallel corpus, statistical ... 1st_prep_right, back). Rule_2. sense (A, chegar) :- has_rel (A, subj, B), has_bigram (A, today, B), has_bag_trans (A, hoje). Rule_3. sense (A, chegar) :- satisfy_restriction (A, [animal, human], [concrete]); ... In- troduction to Machine Translation. Academic Press, Great Britain. Abolfazl K. Lamjiri, Osama El Demerdash, Leila Kos- seim. 2004. Simple features for statistical Word Sense Disambiguation. Proceedings...

Ngày tải lên: 08/03/2014, 02:21

... and accuracy improvement is less than 1% after all the available WSJ adaptation examples are added as additional training data. To obtain a clearer picture of the adaptation process, we discard ... in BC and WSJ, average MFS accuracy, average number of BC training, and WSJ adaptation examples per noun. data, and the rest of the WSJ examples are desig- nated as in-domain adaptation data. The ... WSJ adaptation examples are selected one at a time and added to the training set. The adaptation process continues until all the adaptation examples are added. Classification accuracies averaged...

Ngày tải lên: 08/03/2014, 02:21

... SALAAM-tagged corpora are rendered in a format similar to that of the manually annotated training data. The automatic sense tagging for MT and SV2LS TR training data is based on us- ing SALAAM ... test data and the manually annotated training data, per test item, ranges between . 3 3.2 SALAAM SALAAM exploits parallel corpora for sense annota- tion. The key intuition behind SALAAM is that ... that her bootstrapping approach is partially supervised since size of a manually tagged training data for a clas- sical supervised WSD system. Hence, SALAAM- tagged training data offers a viable...

Ngày tải lên: 08/03/2014, 04:22

... training data so that we can do a fair comparison between the accuracy of the parallel text alignment approach versus the manual sense- tagging approach. After training a WSD classifier for ... Pattern learning and active feature selection for word sense disambiguation. In Proceedings of the Second Inter- national Workshop on Evaluating Word Sense Dis- ambiguation Systems (SENSEVAL-2), ... disambiguation accuracy when it is trained on a sense- tagged” corpus obtained via parallel text alignment, com- pared with training on a manually sense- tagged corpus? Much research remains to...

Ngày tải lên: 08/03/2014, 04:22

... Informatics University of Hamamatsu 1230 Miyakoda-cho, Hamamatsu, Shizuoka, Japan yamasita@hamamatsu-u.ac.jp Yukihiro Itoh Abstract In this paper, we proposed a new super- vised word sense disambiguation ... General Word Sense Disambiguation Method Based on a Full Sen- tential Context. In Journal of Natural Language Pro- cessing, 5(2):47-74. 2 Our Method Our method has the features on an association and ... target word is used in the same sense. We have some ideas about a method to obtain prototypes automatically. 3 Pairwise Alignment We attempt to apply the method of pairwise align- ment to measuring...

Ngày tải lên: 08/03/2014, 04:22

... the resultant translations as acceptable as compared with 37 acceptable translations pro- duced by the same system running without sense- disambiguation questions. FUTURE WORK Although our ... translation of that instance in another lan- guage. When we incorporated this method of as- signing senses into our statistical machine transla- tion system, the error rate of the system decreased ... analysis, transfer, and synthesis by incorporating into the analysis phase a sense- disambiguation component that assigns sense labels to French words. If pren- dre is labeled with one sense in...

Ngày tải lên: 08/03/2014, 07:20

Ngày tải lên: 08/03/2014, 21:20