... Computational Linguistics. J. Stetina, S. Kurohashi, and M. Nagao. 1998. General wordsense disambiguation method based on a full sentential context. In Us- age of WordNet in Natural Language ... Mihalcea and D.I. Moldovan. 1999. An au- tomatic methodfor generating sense tagged corpora. In Proceedings of AAAI-99, Or- lando, FL, July. (to appear). G. Miller, M. Chodorow, S. Landes, ... 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...
... lexical sample format, which is anXML–based format that has been used for both theSENSEVAL-2 and SENSEVAL-3 exercises. A file inthis format includes a number of instances, each onemade up ... Poster and Demonstration Sessions,pages 73–76, Ann Arbor, June 2005.c2005 Association for Computational LinguisticsSenseRelate::TargetWord – A Generalized Framework for WordSense DisambiguationSiddharth ... 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 a Perl pack-age that implements...
... ambigu-ous word in a given context. As a fundamentaltask in natural language processing (NLP), WSDcan benefit applications such as machine transla-tion (Chan et al., 200 7a; Carpuat and Wu, 2007)and ... systems are publicly available – the onlyother publicly available WSD system that we areaware of is SenseLearner (Mihalcea and Csomai,2005). Therefore, for applications which employWSD as a component, ... 200megabytes.3 EvaluationIn our experiments, we evaluate our IMS systemon SensEval and SemEval tasks, the benchmarkdata sets for WSD. The evaluation on both lexical-sample and all-words tasks...
... Electric Corporation 5-1-1 Ofuna, Kamakura, Kanagawa, Japan {Imamura.Makoto@bx,Takayama.Yasu hiro@ea}.MitsubishiElectric.co.jp Nobuhiro Kaji, Masashi Toyoda and Masaru Kitsuregawa Institute ... with Positive and Unlabeled Examples forWordSense Disambiguation: An Empirical Study on Japanese Web Search Query Makoto Imamura and Yasuhiro Takayama Information Technology R&D Center, ... train WSD systems we need a large amount of positive and negative examples. In the real Web mining application, how to acquire training data fora various target of analysis has become a major...
... of a military person-year is equal to a metric called regular military compensation (RMC). RMC includes average basic pay for each military grade, basic allowance for housing, basic allowance ... on data for the last 50 years would be only a starting point. e nature of modern warfare and modern casualty treatment options have changed the ratio and cost of deaths and disabilities drastically. ... two boards of actuaries after analysis of past data trends and comparisons to similar assump-tions in other relevant federal programs and private plans. In cases where the current rate is...
... that this process also refers to the inability of the multinational naval forceswydyf an hdhh alamlyt ayda tshyr aly adm qdrt almtaddt aljnsyt alqwat albhryt (a) Source phraseSource POS and ... high-levellinguistic structures are likely to transfer across certainlanguage pairs. For example, prepositional phrases(PP) in Arabic and English are similar in a sense that PPs generally appear at the end of ... hdhh alamlyt ayda tshyr aly adm qdrt almtaddt aljnsyt alqwat albhrytHe adds that this process also refers to the inability of the multinational naval forcesMT outputSource POSSourceTarget...
... their aligned translations (and probabil-319algorithm parameters in machine learning of language.Machine Learning, pages 84–95.I. Dagan and A. Itai. 1994. Wordsense disambiguationusing a second ... state-of-the-art systems for all languages, ex-cept for Spanish where the results are very similar.As all steps are run automatically, this multilingualapproach could be an answer for the acquisition ... bot-tleneck, as long as there are parallel corpora avail-able for the targeted languages. Although large mul-tilingual corpora are still rather scarce, we stronglybelieve there will be more parallel...
... grammatical and n-gram based statistical language constraints, and uses a robust parsing technique to apply the grammatical constraints described by context-free grammar (Tsukada et aL, 97). ... the Error-Pattem-Database and String-Database can be mechanically prepared, which reduces the effort required to prepare the databases and makes it possible to apply this method to a new recognition ... correcting accuracy by changing algorithms and will also try to improve translation performance by combining our method with Wakita's method. References T. Araki et al., 93. AMethodfor Detecting...
... thetwo 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 500parallel text examples as training data, similar towhat ... sampling with incomplete infor-mation. Annals of Mathematical Statistics, 26(4).Yee Seng Chan and Hwee Tou Ng. 200 5a. Scalingup wordsense disambiguation via parallel texts. InProc. of AAAI05.Yee ... on data whichwas automatically gathered from the Internet. Theauthors reported a 14% improvement in accuracyif they have an accurate estimate of the sense pri-ors in the evaluation data and...
... be available for many examples. The problem of data sparse-ness increases as more knowledge is exploited and this can cause problems for the machine learning algorithms. A final disadvantage ... 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...
... and accuracy improvement is less than1% after all the available WSJ adaptation examples are addedas additional training data. To obtain a clearer picture of theadaptation process, we discard ... in BC andWSJ, average MFS accuracy, average number of BCtraining, and WSJ adaptation examples per noun.data, and the rest of the WSJ examples are desig-nated as in-domain adaptation data. The ... pos-teriori (MAP) estimation, and successfully used it for probabilistic context-free grammar domain adap-tation (Roark and Bacchiani, 2003) and languagemodel adaptation (Bacchiani and Roark, 2003).Count-merging...
... 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 w ... However, large-scale, good-quality parallel corpora have recently become available. For ex-ample, six English-Chinese parallel corpora are GIZA++. For two of the corpora, Hong Kong Han-sards and ... corpora. To ensure a fairer comparison, for each of the 10-trial manually sense- tagged training data that gave rise to the ac-curacy figure M2 of a noun w, we extracted a new subset of 10-trial...
... Shimo-tsuruma, Yamato-shi, Kanagawa-ken 242 Japan { uramoto, takeda } @trl. ibm. co.j p Abstract This paper describes methods for relating (thread- ing) multiple newspaper articles, and for visualizing ... quantity of information available today makes it difficult to search for and understand the information that we want. If there are many related documents about a topic, it is important to capture ... news- paper articles automatically, and its application for a Webcasting application. A set of article on a par- I htt p://www.pointcast.com ticular topic is ordered chronologically, and the...
... re-trieval and data mining, in which case it is impor-tant to be able to read through them automatically,without resorting to a human annotator. The holygrail in this area would be an application ... gray are unreachable.The cell at (d) is filled using the trigram probabilities and the probability of the path at starting at (a) .In all of the data considered, the frequency ofspaces was far ... 48th Annual Meeting of the Association for Computational Linguistics, pages 1040–1047,Uppsala, Sweden, 11-16 July 2010.c2010 Association for Computational LinguisticsAn Exact A* Method for...
... were discarded.tions caused by tagging or lemmatization errors,we manually corrected any bad tags and lemmas for the target instances.4 Sense Paraphrases Forwordsense disam-biguation tasks, ... Boyd-Graberet al. (2007) enhance the basic LDA algorithm byincorporating WordNet senses as an additional la-tent variable. Instead of generating words directlyfrom a topic, each topic is associated ... in sense paraphrasesincreases performance. Longer paraphrases con-tain more information, and they are statisticallymore stable for inference.We find that nouns get the greatest perfor-mance...