machine learning for coreference resolution recent developments
Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... error-driven pruning for machine learning of coreference rules. In Proc. of EMNLP, pages 55–62.V. Ng and C. Cardie. 2002b. Improving machine learn-ing approaches to coreference resolution. In Proc. ... 104–111.J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann.W. M. Soon, H. T. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of nounphrases. Computational ... 2003. Coref-erence resolutionusing competitive learningapproach.In Proc. of the ACL, pages 176–183.D. Zelenko, C. Aone, and J. Tibbetts. 2004. Coreference resolution for information extraction....
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Tài liệu Báo cáo khoa học: "An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming" pdf
... to coreference resolution. In Proceed-ings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 104–111,Philadelphia.V. Ng. 2005. Machine learning for coreference ... 65.4 63.5Table 4: Results of different systems for coreference resolution examined the C4.5 algorithm4which is widely used for the coreference resolution task. The first line ofthe table shows ... Powell”, and therefore refers to a maleperson and cannot co-refer with “she”.The entity-mention model based on Eq. (2) per-forms coreference resolution at an entity-level. For simplicity, the...
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Tài liệu Báo cáo khoa học: "A Modular Toolkit for Coreference Resolution" pdf
... application-internal representationsto a suitable format for several machine learning toolkits: One module exposes the functionality ofthe the WEKA machine learning toolkit (Wittenand Frank, 2005), ... using it as a platform for research including the use of new informationsources (which can be easily incorporated into the coreference resolution process as features), different resolution algorithms ... decision trees for coreference resolution. In Proc. IJCAI 1995.Morton, T. S. (2000). Coreference for NLP applications. InProc. ACL 2000.Moschitti, A. (2006). Making tree kernels practical for naturallanguage...
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Tài liệu Báo cáo khoa học: "Conditional Modality Fusion for Coreference Resolution" pdf
... en-tity. Coreference resolution on text datasets is well-studied (e.g., (Cardie and Wagstaff, 1999)). Thisprior work provides the departure point for our in-vestigation of coreference resolution ... documents.Evaluation metric Coreference resolution is of-ten performed in two phases: a binary classifi-cation phase, in which the likelihood of corefer-ence for each pair of noun phrases ... 352–359,Prague, Czech Republic, June 2007.c2007 Association for Computational LinguisticsConditional Modality Fusion for Coreference Resolution Jacob Eisenstein and Randall DavisComputer Science...
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Báo cáo khoa học: "Semantic Role Labeling for Coreference Resolution" pot
... expressions is given in Table 1.2.2 Learning Algorithm For learning coreference decisions, we used aMaximum Entropy (Berger et al., 1996) model. Coreference resolution is viewed as a binary clas-sification ... of machine learning based coreference resolution systems (Soon et al., 2001;Ng & Cardie, 2002; Kehler et al., 2004, inter alia).Similarly, many researchers have explored tech-niques for ... Germanyhttp://www.eml-research.de/nlp/AbstractExtending a machine learning based coref-erence resolution system with a featurecapturing automatically generated infor-mation about semantic roles improves itsperformance.1 IntroductionThe...
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Machine Learning for Hackers pot
... used to build a machine learning process. The notion of observing data, learning from it, and thenautomating some process of recognition is at the heart of machine learning and formsthe primary ... exploring machine learning withR! Before we proceed to the case studies, however, we will review some R functionsand operations that we will use frequently.R Basics for Machine Learning As ... message that is printed when you draw theR for Machine Learning | 19www.it-ebooks.infoWith the function defined, we will use the lapply function, short for “list-apply,” toiterate this function...
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Báo cáo khoa học: " Improving Machine Learning Approaches to Coreference Resolution" potx
... increases in F-measure for both classi-fiers and both data sets. When using RIPPER, for example, performance increases from 64.3 to 67.2 for the MUC-6 data set and from 60.8 to 63.2 for MUC-7. Similar, ... Unfortunately, the hand-selectedfeatures precipitate a large drop in precision for pro-noun resolution for the MUC-7/C4.5 data set. Ad-ditional analysis is required to determine the reason for ... improve precision on common noun resolution. Overall, the learning framework and lin-guistic knowledge source modifications boost per-formance of Soon’s learning- based coreference res-olution approach...
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
... Association for Computational Linguistics.Simon Tong and Daphne Koller. 2002. Support vec-tor machine active learning with applications to textclassification. Journal of Machine Learning Re-search ... Number of Foreign Words AnnotatedBLEU ScoreNumber of Foreign Words Annotatedthe approx. 54,500 foreign wordswe selectively sampled for annotation cost = $205.80last approx. 700,000 foreign ... preference for covering frequent n-grams before covering in-frequent n-grams. The VG method is depicted inFigure 2.Figure 3 shows the learning curves for bothjHier and jSyntax for VG selection...
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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
... correspond.To solve the former problem, we apply a maxi-mum entropy model to Knight and Marcu’s modelto introduce machine learning features that are de-fined not only for CFG rules but also for othercharacteristics ... 850–857,Sydney, July 2006.c2006 Association for Computational LinguisticsTrimming CFG Parse Trees for Sentence Compression Using Machine Learning ApproachesYuya Unno1Takashi Ninomiya2Yusuke ... cre-ate a compression forest as Knight and Marcu did.We select the tree assigned the highest probabilityfrom the forest.Features in the maximum entropy model are de-fined for a tree node and...
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Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt
... (Daelemans et al., 2004) for Memory-Based Learning, the MaxEnt Toolkit (Le, 2004) for Maximum Entropy and LIBSVM (Chang andLin, 2001) for Support Vector Machines. For TiMBL we used k nearest ... performance for gold-standard treesscoring 89.34% on accuracy and 86.87% on f-score. The learning curves for the three algo-rithms, shown in Figure 4, are also informative,with SVM outperforming ... memory-based learning toperform various graph transformations. One of thetransformations is node relabelling, which addsfunction tags to parser output. They report an f-score of 88.5% for the...
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Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... 25–32,Prague, Czech Republic, June 2007.c2007 Association for Computational LinguisticsTransductive learning for statistical machine translationNicola UeffingNational Research Council CanadaGatineau, ... relevant for translating the new data arereinforced. The probability distribution over thephrase pairs thus gets more focused on the (reliable)parts which are relevant for the test data. For an ... Semi-supervised training for statistical word alignment. In Proc. ACL.S. Nießen, F. J. Och, G. Leusch, and H. Ney. 2000. Anevaluation tool for machine translation: Fast evalua-tion for MT research....
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
... Pittsburgh{jsa8,hwa}@cs.pitt.eduAbstract Recent studies suggest that machine learn-ing can be applied to develop good auto-matic evaluation metrics for machine trans-lated sentences. This paper further ana-lyzes aspects of learning ... criteria. Machine learning af-fords a unified framework to compose these crite-ria into a single metric. In this paper, we havedemonstrated the viability of a regression approachto learning ... and Chris Brockett.2001. A machine learning approach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics,...
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Natural Language Annotation for Machine Learning potx
... with machine learning algorithms that perform classification, clustering and pattern inductiontasks.• Having a good annotation scheme and accurate annotations are critical for machine learning ... that this is where you start for designing the features that go into your learning algorithm. The better the features, thebetter the performance of the machine learning algorithm!Preparing ... particular problem or phenomenon that has sparkedyour interest, for which you will need to label natural language data for training for machine learning. Consider two kinds of problems. First imagine...
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Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot
... 2005.c2005 Association for Computational LinguisticsUsing Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment ClassificationJonathon ReadDepartment of InformaticsUniversity ... language-style dependency.Also, note that neither machine- learning modelconsistently out-performs the other. We speculatethat this, and the generally mediocre performance ofthe classifiers, is due (at ... best-performing settings for the Na¨ıve Bayes classifierwas a window context of 130 tokens taken from thelargest training set of 22,000 articles. Similarly, thebest performance for the SVM...
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Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx
... T¨uba-D/Z will show whether the performance achieved for the HTC test set is scalable. For future versions of the system, it might also resolution (no values were given for pronouns).Although a number ... learner is thus forced toconcentrate on difficult examples.Although boosting has not yet been appliedto coreference resolution, it has outperformedstateof-the-art systems for NLP tasks such ... described in this pa-per.(McCarthy and Lehnert, 1995) were amongthe first to use machine learning for coreference resolution. RESOLVE was trained on data fromMUC-5 English Joint Venture (EJV)...
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