... 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....
... 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...
... 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...
... 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) 506–518 ª 2010 The Authors Journal compilation ª 2010 FEBS 509 A systems biology approachfor the analysis ofcarbohydrate dynamics during acclimation...
... this addi-tional burden. Given a desired sense it automati-cally picks the good translations, searches for as-sociated images and presents the final images tothe user. For example, it automatically ... dictionary is 0.9(evaluated based on a random sample). PANDIC-TIONARY has about 80,000 senses and about 1.8million translations at precision 0.9.We use Google Image Search as our underlying image ... disambiguated,vastly multilingual dictionary called PANDIC-TIONARY (Mausam et al., 2009). PANDIC-TIONARY is automatically constructed by prob-abilistic inference over a graph of translations,which...
... 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...
... Meeting of the Association for Com-putational Linguistics, Barcelona, Spain.Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan.2002. Thumbs up? Sentiment Classification using Machine Learning Techniques. ... that performance in a given topic is best if the training data is from thesame topic. For example, the Finance-trained SVMclassifier achieved an accuracy of 78.8% against ar-ticles from Finance, ... Third An-nual Symposium on Document Analysis and Informa-tion Retrieval, pages 161–175, Las Vegas, Nevada.Kushal Dave, Steve Lawrence, and David M. Pennock.2003. Mining the Peanut Gallery:...
... Community-Based Health Education Intervention: A Service -Learning Approach Srijana M. Bajracharya, Associate Professor, Department of Health Promotion and Physical Education, Ithaca College A variety ... papers at the national conference such as American Association of Health, Physical Education, Recreation, and Dance (AAHPERD). Such presentations allow students to take maximum advantage of ... situation for all involved. For students, such experiential learning can be most valuable and meaningful. Evidence of participation in service -learning projects can be a valuable part of a student’s...
... cross-checking Volker Wieland 21 2007 Corporate marginal tax rate, tax loss carryforwards and investment functions – empirical analysis using a large German panel data set Fred Ramb xt,i,jj ... The marketability of bank assets and managerial Falko Fecht rents: implications for financial stability Wolf Wagner 31 07 2008 Which interest rate scenario is the worst one fora bank? ... 23436383103Maturity (months)Change in interest rates (percentage points) 26 11 2007 Exchange rate dynamics in a target zone - Christian Bauer a heterogeneous expectations approach Paul De Grauwe,...
... essential, as pattern-based approach is enhancedwith the supervised machine learning. In this paper, we propose a novel approach toautomatic synonym identification based on super-vised learning ... David Weir and Diana McCarthy. 2004.Characterising Measures of Lexical DistributionalSimilarity. Proc. of COLING 04, 1015–1021.6formalization of similarity-based approach wouldbe essential, ... 786–774.Shachar Mirkin, Ido Dagan, and Maayan Geffet. 2006.Integrating pattern-based and distributional similaritymethods for lexical entailment acquisition. Proc. ofCOLING/ACL 06, 579–586.Brian...
... give-cake big-cake … Figure 1. Attribute-value vector for syntactic relations Given that some types of information are not avail-able for certain instances, many attributes will have null values. ... only classified a few ex-amples (form 1 to 6). In Table 2 we show the accuracy of the theory learned for each verb, as well as accuracy achieved by two propositional machinelearning algorithms ... a few are designed for specific applica-tions, such as MT. Existing multilingual approaches can be classified as (a) knowledge-based ap-proaches, which make use of linguistic knowledge manually...
... not allow multiple answers. Performance can be evaluated in a more realistic way by applying a softer standard, e.g., by evaluating manually. 4. Conclusion We have presented a novel approach ... overall performance. The base classifiers can be expected to become more informative as more data are provided. We followed the structural learning approach (Ando and Zhang, 2005), which trains ... researchers to utilize native corpora rather than GE tagged learner corpora for the GEC task. The native corpus approach consists of learning a model that predicts the correct form of an article...