verb sense disambiguation dmitriy dligach

Ngày tải lên: 23/03/2014, 17:20

... 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 ... Evaluation To evaluate our five classifiers, we used the sense in- ventory and test set of the SemEval “Cross-Lingual Word Sense Disambiguation task. The sense inven- tory was built up on the basis of ... a word sense transla- tion table, in which look-ups are performed during the testing phase. This system also differs from the Uvt-WSD and ParaSense systems in the sense that the word senses are...

Ngày tải lên: 20/02/2014, 05:20

... un- supervised preposition sense disambiguation. Our best accuracy reaches 56%, a significant improvement (at p <.001) of 16% over the most-frequent -sense baseline. 1 Introduction Reliable disambiguation ... supervised preposition sense disambiguation approach which explores different settings; Tratz and Hovy (2009), Hovy et al. (2010) make explicit use of the arguments for preposition sense disambiguation, ... and shopped in Rome. The senses of each element are denoted by a barred letter, i.e., ¯p denotes the preposition sense, ¯ h denotes the sense of the head word, and ¯o the sense of the object. 3...

Ngày tải lên: 20/02/2014, 05:20

... 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 has ... 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. ... 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 level. Every corre- 458 Proceedings...

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 ... stan- dard sense- annotated data sets, and show that it compares favorably with the best re- sults reported during the recent SENSEVAL evaluations. 1 Introduction The task of word sense disambiguation ... of the SENSEVAL-2 and SENSEVAL-3 data sets), while the performance did not exceed the one obtained with the more general semantic models. The average disambiguation precision obtained with SENSELEARNER...

Ngày tải lên: 20/02/2014, 15:20

... 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 ... 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

... verbs which had different predominant senses between the BC and WSJ parts of the corpus. This gave us a set of 37 nouns and 28 verbs. For experi- ments involving the nouns of SENSEVAL-2 and SENSEVAL-3 ... score for 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 ... 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...

Ngày tải lên: 08/03/2014, 02:21

... results of verbs disambiguation of SENSEVAL-2 in the transformed context spaces Although our metrics can measure the similarity of nouns and verbs through the derived related form of verbs (not ... 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 for ... 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....

Ngày tải lên: 08/03/2014, 02:21

... using English transla- tions as word senses would be ideal, they instead predicted the HowNet sense of a word and then used the English gloss of the HowNet sense as the WSD model’s predicted translation. ... gram- mar rule as its translation. Hence, unlike traditional WSD where the sense classes are tied to a specific sense inventory, our “senses” here consist of the En- glish phrases extracted as translations ... is 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...

Ngày tải lên: 08/03/2014, 02:21

... 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 ... for each verb which use the most frequent translation are shown in Table 1. For the monolingual scenario, we use the sense tagged corpus and sense repositories provided for verbs in Senseval-3. ... monolingual task (Senseval-3 verbs with fine-grained sense distinctions and using the evaluation system provided by Senseval). It also shows the average accuracy of the most frequent sense and accuracies...

Ngày tải lên: 08/03/2014, 02:21

... nouns. For instance, these nouns have an average of 6.7 senses in BC and 6.8 senses in WSJ. This is slightly higher than the 5.8 senses per verb in (Chen et al., 2006), where the experiments were ... “oracle” which determines the predominant sense, or most frequent sense (MFS), of each noun in our WSJ test data perfectly, and we assign this most frequent sense to each noun in the test data, we ... we explore the issue of different sense priors across different domains. Using the sense priors estimated by expectation-maximization (EM), the predominant sense in the new domain is pre- dicted....

Ngày tải lên: 08/03/2014, 02:21

... Measure Context Target Sense Preprocessing Format Filter Sense Inventory Context Selection Postprocessing Pick Sense Figure 1: A generalized framework for Word Sense Disambiguation. modules ... 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 et al., 2003). SenseRelate::TargetWord ... Arbor, June 2005. c 2005 Association for Computational Linguistics SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation Siddharth Patwardhan School of Computing University...

Ngày tải lên: 08/03/2014, 04:22

... Issue on Senseval, 34:147-152. Adam Kilgarrif and Joseph Rosenzweig. 2000. Framework and results for english senseval. Computers and the Humanities, 34(1):15–48. Dekang Lin. 2000. Word sense disambiguation with ... English senses for . Each English trans- lation for has its set of English sense labels drawn from WordNet. So the relevant English sense labels for may be defined as . We call this the English sense ... the s to define the Spanish senses. We may imagine each Spanish word to come from one or more Spanish senses. If each word has a single sense, then we add a Spanish sense for each and all Spanish...

Ngày tải lên: 08/03/2014, 04:22

... and without lexical sets for three Chinese verbs Verb| Pinyin Sample senses of the verb # Senses in test data # Sense groups in test data Sense perplexity # Clusters # Training instances ... learning sense distinctions of other verbs. For example, the verb “见|jian4” has one sense see, in which the verb typically takes a Human subject and a sentential complement, while in another sense ... “出| chu1” has a sense of produce, the distinction between this sense and the verb s other senses, such as happen and go out, largely depends on the semantic category of the verb s direct object....

Ngày tải lên: 08/03/2014, 04:22

... Stevens. 2002. Supervised Sense Tagging using Support Vector Machines. Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2). Toulouse, France. Scott ... 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 ... low sense perplexity of — relatively close to the sense perplexity of the test data — a suffi- cient number of contexts (4350), yet it yields a PR of . According to the manual sense grouping, senses...

Ngày tải lên: 08/03/2014, 04:22

... church could be the physical building sense (教 堂), or the institution sense ( 教会). In manual sense tagging done in SENSEVAL-2, it is possible to assign two sense tags to church in this case, but ... 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 ... Word Sense Disambiguation Systems (SENSEVAL-2), pages 1-5. Gerard Escudero, Lluis Marquez, and German Rigau. 2000. An empirical study of the domain dependence of supervised word sense disambiguation...

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

Ngày tải lên: 08/03/2014, 07:20