improving machine learning approaches to coreference resolution
Báo cáo khoa học: " Improving Machine Learning Approaches to Coreference Resolution" potx
... Modifications to the Machine Learning FrameworkThis section studies the effect of three changes to the general machine learning framework employedby Soon et al. with the goal of improving precisionin ... NP, we assumethat the most confident antecedent is the closest non- Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire CardieDepartment of Computer ScienceCornell ... modifications to the machine learning framework, which together pro-vide substantial and statistically significant gainsin coreference resolution precision. Second, in anattempt to understand...
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Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx
... 7–12 July 2002, pp.352–359.Ng, Vincent & Claire Cardie (2002). Improving machine learn-ing approaches to coreference resolution. In Proceedings ofthe 40th Annual Meeting of the Association ... the input to her algorithm to be only referential pronouns. Thissimplifies the task considerably.7 Conclusions and Future WorkWe presented a machine learning approach to pro-noun resolution ... anupper limit for what the resolution of these kinds ofanaphors can contribute at all. These facts have to bekept in mind when comparing our results to resultsof coreference resolution in written...
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Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx
... in (Strube et al.,2002) is one of the few dealing with the applica-tion of machine learning to German coreference resolution covering definite noun phrases, propernames and personal, possessive ... rela-tion to the antecedent. The values for this at-tribute are ”direct”, ”pronominal”, and ”ISA”(hyponym-hyperonym). To mark coreference, MMAX uses coreference sets, such that every new reference to ... 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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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
... thismethod to unsupervised learning to overcome thelack of training data. However their model alsohas the same problem. McDonald (McDonald,2006) independently proposed a new machine learning ... sentences some-times do not correspond. To solve the former problem, we apply a maxi-mum entropy model to Knight and Marcu’s model to introduce machine learning features that are de-fined not ... University of Tokyo3School of Informatics, University of Manchester4SORST, JSTHongo 7-3-1, Bunkyo-ku, Tokyo, Japan{unno, yusuke, tsujii}@is.s.u-tokyo.ac.jpninomi@r.dl.itc.u-tokyo.ac.jpAbstractSentence...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
... metrics to choose from,MT developers need a way to evaluate them. Onepossibility is to examine whether the automatic met-ric ranks the human reference translations highlywith respect to machine ... 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 approach to learning ... Linguistics.Simon Corston-Oliver, Michael Gamon, and Chris Brockett.2001. A machine learning approach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of...
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Báo cáo " Learning approaches to support dynamics in communication networks " docx
... set to a value close enough to 0 to allow the learners to converge by stopping their exploration. In our work, we start with a very high value for the temperature to force the agents to make ... of these approaches can be found in [9]. Inductive approaches- To be able to make an optimal routing decision, according to relevant performance criteria, a network node requires to have a ... action a is a vector of single action made by distributed agents each associated with one of the n routers. Learning here means iteratively improving the selection policy according to the maximization...
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Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... 2001. A machine learning approach to coreference resolution of nounphrases. Computational Linguistics, 27(4):521544.M. Strube and C. Măuller. 2003. A machine learning ap-proach to pronoun resolution ... and C. Cardie. 2002b. Improving machine learn-ing approaches to coreference resolution. In Proc. ofthe ACL, pages 104–111.J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann.W. ... (NPs)in a text or dialogue refer to which real-worldentity — has exhibited a shift from knowledge-based approaches to data-driven approaches, yield-ing learning- based coreference systems that rivaltheir...
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Trí tuệ nhân tạo - Introduction to Machine Learning
... redesign of AI systems to conform to newknowledge is impractical, but machine learning metho ds mightbeable to trackmuchofit.1.1.2 Wellsprings of Machine Learning Workinmachine learning is nowconverging ... variablesIntroduction to Machine Learning c1996 Nils J. Nilsson. All rights reserved. INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSEDTEXTBOOKNils J. NilssonRob otics Lab oratoryDepartment ... Bibliographical and Historical RemarksTobeadded.Every chapterwill contain abrief survey ofthe history ofthe materialcovered in thatchapter.Introduction to Machine Learning c1996 Nils...
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Slide an investigation into some approaches to vocabulary teaching and learning and the application of games in teaching and learning vocabulary at pre – intermediate level at foreign language center – haiphong university
... teaching and learning 1.2. Vocabulary in language teaching and learning 1.3. Approaches to language teaching and their 1.3. Approaches to language teaching and their relevance to vocabularyrelevance ... have to talk to express or exchange their have to talk to express or exchange their ideas with their partners. It can lead to ideas with their partners. It can lead to better word learning. ... things faster and better 1.3. Approaches to language teaching and 1.3. Approaches to language teaching and their relevance to vocabularytheir relevance to vocabulary1.4. Recent research...
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Tài liệu Báo cáo khoa học: "Name Translation in Statistical Machine Translation Learning When to Transliterate" pptx
... USAme@hal3.nameAbstractWe present a method to transliterate namesin the framework of end -to- end statistical machine translation. The system is trained to learn when to transliterate. For Arabic to English MT, we developed ... transliterator described in section3 to the tagged items. We limit this transliter-ation to words that occur up to 50 times in thetraining corpus for single token names (or up to 100 and 150 times for ... restricted to cap-italized words (with a few exceptions).We use a list of about 200 Arabic and Englishstopwords and stopword pairs.We use lists of countries and their adjectiveforms to bridge...
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Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt
... v1, yi , . . . , vn, yn} are given as input to theME classifier, which learns how to classify newvectors v, corresponding to unseen pairs of sen-tences S1, S2.We use nine ... substitutionof a single token. Moreover, we use high-level3We use Stanford University’s tokenizer and POS-tagger,and Porter’s stemmer.4Soundex is an algorithm intended to map English names to alphanumeric ... canbe used to recognize paraphrases. Theyall employ string similarity measures ap-plied to shallow abstractions of the inputsentences, and a Maximum Entropy clas-sifier to learn how to combine...
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Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt
... attributed to two main factors. Firstly,the mapping from Cast3LB tags to LFG grammat-ical functions is not one -to- one. For example threeCast3LB tags (CC, MOD and ET) are all mapped to LFG ADJUNCT. ... present paper we use a machine- learning ap-proach in order to add Cast3LB function tags to nodes of basic constituent trees output by a prob-abilistic parser trained on Cast3LB. To our knowl-edge, ... (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. ForTiMBL we used k nearest neighbors...
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