... pronounana npform NP form of the anaphorana gramrole grammatical role of theanaphorana agr agreement of the anaphorana semclass* semantic class of the anaphorante npform NP form of the antecedentante ... 20)same agr same agreement of anaphorand antecedent?same gramrole same grammatical role ofanaphor and antecedent?same semclass* same semantic class ofanaphor and antecedent?Table 1: Features ... system’s performance onthe manually annotated (gold standard) data with-out the semantic features. For the baseline, accuracy is significantly higher for the gold standard data than for the two...
... antecase grammatical case of antecedent5. antes depth the level of embedding in a sentence6. anagram func grammatical function of anaphor7. ananpform form of anaphor8. anaagree person, ... is based on the same as-sumptions as the former. The information content of a non-NP-markable is calculated as follows, basedon a set of 553 Switchboard dialogues: For eachword in the markable, ... language for data analysis and graphics. Journal of Computational andGraphical Statistics, 5:299–314.Kohavi, Ron & George H. John (1997). Wrappers for fea-ture subset selection. Artificial Intelligence...
... havetypically been dealt with as part of the syntax (butcf. Kuno, Takami & Wu (1999) for an alterna-tive approach) . Early generative treatments used a WH-movement transformation (McCawley, 1998)to ... stage4093/4242=96.5% for other systems to which we can compare them.We take this level of success as an indication of thefeasibility of our data-driven, modular approach. Additionally, our approach has the advantage ... Statistical Mod-els for Natural Language Parsing. Ph.D. thesis,University of Pennsylvania, Philadelphia, PA.S. E. Fahlman. 1988. An empirical study of learning speed in back-propagation networks....
... machine learning approach to evaluating the well-formedness of output of a machine translation system, using classifiers thatlearn to distinguish human referencetranslations from machine translations.This ... ofMT evaluation as amachine learning classification task that targets both linguisticfeatures and more abstract features such as n-gram perplexity. Fora different use of perplexity inclassification, ... of a machine translation system with high accuracy.We thus have an automatic mechanism that canperform the task that humans appear to do withease, as noted in section 1. The best result, a classifier...
... 1998) and Snowball (Agichtein and Gravano, 2000), because there is no gold-standard evaluation corpus available. We have adapted the evaluation method suggested by Agichtein and Gravano, i.e., ... data set. If at all possible, the training data should ex-hibit a skewed distribution of reports to events. Actually, such training data may be the only realis-tic chance for reaching a large ... In Proc. of ACL-03, pages 224–231, Sapporo, Japan. R. Yangarber, R. Grishman, P. Tapanainen, and S. Hut-tunen. 2000. Automatic Acquisition of Domain Knowledge for Information Extraction. In...
... the Association forMachine Translationin the Americas (AMTA-2006).Christoph Tillmann, Stephan Vogel, Hermann Ney, HassanSawaf, and Alex Zubiaga. 1997. Accelerated DP-basedsearch for statistical ... of the Association for Computational Linguistics.Simon Corston-Oliver, Michael Gamon, and Chris Brockett.2001. Amachinelearningapproach to the automatic eval-uation of machine translation. ... Evaluation with MachineLearning A good automatic evaluation metric can be seen as a computational model that captures a human’s de-cision process in making judgments about the ade-quacy and...
... addition, the same question can be askedagain and again and the quality of the answerscan not be guaranteed. Therefore, the organiza-tion can have personnel in charge of monitoringand tracking questions ... Venkataramanan M. 2003. Enter-prise resource planning: managing the implementa-tion process. European Journal of Operational Research146: 302–314.Motwni J, Mirchandani D, Madan M, Gunasekaran ... proposedthat consists of cooperative working platform,consulting platform, individual KM platform ,organizational KM platform, and knowledgetransfer platform. This system can effectivelymanage...
... measured with an infrared gasanalysis system (Uras 3 G; Hartmann & Braun AG, Frank-furt am Main, Germany). A whole-rosette cuvette designwas used as described in [31]. Gas exchange was ... Whereas manytropical and subtropical species have only limitedcapacities to cope with low temperature, plants fromtemperate climates, such as Arabidopsis thaliana, growat low temperature and can ... acclimation in A. thalianaFEBS Journal 278 (2011) 506518 ê 2010 The Authors Journal compilation ê 2010 FEBS 509 A systems biology approachfor the analysis ofcarbohydrate dynamics during acclimation...
... natural language are alsoobserved. For example, we improve MWE min-ing result by EBP detection. Comparisons withvariant n-gram approaches, which are the leadingapproaches, are performed for ... extraction, LCS approach is applied with great efficiency and per-formance guarantee. Experimental resultsshow that LCS-based approach achievesbetter results than n-gram.1 IntroductionLanguage ... extraction of MWE plays an important rolein several areas, such as machine translation (Pas-cale,1997), information extraction (Kalliopi,2000)etc. On the other hand, there is also a needfor...
... were annotated withthe types of financial transactions they are mostrelated to. Paragraphs that did not fall into a category of interest were classified as “other”.The annotated paragraphs ... Maytag: A multi-staged approach to identifying complex events in textual dataConrad Chang, Lisa Ferro, John Gibson, Janet Hitzeman, Suzi Lubar, Justin Palmer,Sean Munson, Marc Vilain, and Benjamin ... semantic type of thephrase (for named entities), the phrase vocabu-lary, the distance to the target head, and localcontext (words and phrases).Our initial evaluation of this approach hasgiven...