improving machine learning approaches to coreference resolution

... Modifications to the Machine Learning Framework This section studies the effect of three changes to the general machine learning framework employed by Soon et al. with the goal of improving precision in ... NP, we assume that the most confident antecedent is the closest non- Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Science Cornell ... modifications to the machine learning framework, which together pro- vide substantial and statistically significant gains in coreference resolution precision. Second, in an attempt to understand...

Ngày tải lên: 17/03/2014, 08:20

... 7–12 July 2002, pp. 352–359. Ng, Vincent & Claire Cardie (2002). Improving machine learn- ing approaches to coreference resolution. In Proceedings of the 40th Annual Meeting of the Association ... the input to her algorithm to be only referential pronouns. This simplifies the task considerably. 7 Conclusions and Future Work We presented a machine learning approach to pro- noun resolution ... an upper limit for what the resolution of these kinds of anaphors can contribute at all. These facts have to be kept in mind when comparing our results to results of coreference resolution in written...

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Ngày tải lên: 31/03/2014, 00:20

... 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, proper names 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 among the first to use machine learning for coreference resolution. RESOLVE was trained on data from MUC-5 English Joint Venture (EJV)...

Ngày tải lên: 17/03/2014, 06:20

... this method to unsupervised learning to overcome the lack of training data. However their model also has 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 Tokyo 3 School of Informatics, University of Manchester 4 SORST, JST Hongo 7-3-1, Bunkyo-ku, Tokyo, Japan {unno, yusuke, tsujii}@is.s.u-tokyo.ac.jp ninomi@r.dl.itc.u-tokyo.ac.jp Abstract Sentence...

Ngày tải lên: 20/02/2014, 12:20

... metrics to choose from, MT developers need a way to evaluate them. One possibility is to examine whether the automatic met- ric ranks the human reference translations highly with respect to machine ... criteria. Machine learning af- fords a unified framework to compose these crite- ria into a single metric. In this paper, we have demonstrated 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 39th Annual Meeting of...

Ngày tải lên: 08/03/2014, 02:21

... 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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Ngày tải lên: 31/03/2014, 20:20

... 2001. A machine learning approach to coreference resolution of noun phrases. 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. of the 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-world entity — has exhibited a shift from knowledge- based approaches to data-driven approaches, yield- ing learning- based coreference systems that rival their...

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Ngày tải lên: 31/03/2014, 03:20

... redesign of AI systems to conform to new knowledge is impractical, but machine learning metho ds mightbe able to trackmuchofit. 1.1.2 Wellsprings of Machine Learning Workinmachine learning is nowconverging ... variables Introduction to Machine Learning c 1996 Nils J. Nilsson. All rights reserved. INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSED TEXTBOOK Nils J. Nilsson Rob otics Lab oratory Department ... Bibliographical and Historical Remarks Tobeadded. Every chapter will contain a brief survey of the history of the material covered in that chapter. Introduction to Machine Learning c 1996 Nils...

Ngày tải lên: 14/11/2012, 13:46

... 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 vocabulary relevance ... 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 vocabulary their relevance to vocabulary 1.4. Recent research...

Ngày tải lên: 29/01/2014, 14:36

... USA me@hal3.name Abstract We present a method to transliterate names in 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 section 3 to the tagged items. We limit this transliter- ation to words that occur up to 50 times in the training 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 English stopwords and stopword pairs. We use lists of countries and their adjective forms to bridge...

Ngày tải lên: 20/02/2014, 09:20

... v 1 , y i  , . . . ,  v n , y n } are given as input to the ME classifier, which learns how to classify new vectors v, corresponding to unseen pairs of sen- tences S 1 , S 2 . We use nine ... substitution of a single token. Moreover, we use high-level 3 We use Stanford University’s tokenizer and POS-tagger, and Porter’s stemmer. 4 Soundex is an algorithm intended to map English names to alphanumeric ... can be used to recognize paraphrases. They all employ string similarity measures ap- plied to shallow abstractions of the input sentences, and a Maximum Entropy clas- sifier to learn how to combine...

Ngày tải lên: 08/03/2014, 01:20