a machine learning approach

... 20) same agr same agreement of anaphor and antecedent? same gramrole same grammatical role of anaphor and antecedent? same semclass* same semantic class of anaphor and antecedent? Table 1: Features ... pronoun ana npform NP form of the anaphor ana gramrole grammatical role of the anaphor ana agr agreement of the anaphor ana semclass* semantic class of the anaphor ante npform NP form of the antecedent ante ... science, arts and entertainment, and travel. 4.2 The MMAX Annotation Tool The manual annotation of the training data was done with the MMAX (Multi-Modal Annotation in XML) annotation tool (M¨uller and...

Ngày tải lên: 17/03/2014, 06:20

... ante case grammatical case of antecedent 5. ante s depth the level of embedding in a sentence 6. ana gram func grammatical function of anaphor 7. ana npform form of anaphor 8. ana agree person, ... number 9. ana case grammatical case of anaphor 10. ana s depth the level of embedding in a sentence Coreference-level features 11. agree comp compatibility in agreement between anaphor and antecedent 12. ... the list contained an NP-markable at the current posi- tion and if this markable was not an indefinite noun phrase, it was considered a potential anaphor. In that case, pairs of potentially coreferring...

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Ngày tải lên: 31/03/2014, 20:20

Ngày tải lên: 21/06/2014, 08:20

... the Association for Machine Translation in the Americas (AMTA-2006). Christoph Tillmann, Stephan Vogel, Hermann Ney, Hassan Sawaf, and Alex Zubiaga. 1997. Accelerated DP-based search for statistical ... of the Association for Computational Linguistics. Simon Corston-Oliver, Michael Gamon, and Chris Brockett. 2001. A machine learning approach to the automatic eval- uation of machine translation. ... the train- ing set (by languages and by years), and their corre- lations with human assessment are higher than stan- dard automatic evaluation metrics. 2 MT Evaluation Recent automatic evaluation...

Ngày tải lên: 08/03/2014, 02:21

... provides a visible icon in folders where an aliased application does not actually reside . Human a file or application alias provides a visible icon in folders where an aliased application does not actually reside ... results. References A. L. Berger, V. J. Della Pietra, and S. A. Della Pietra. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39–71. E. Charniak and M. Johnson. ... statement provides a visible icon in folders where an aliased application does not actually reside . ME + bottom-up a file or application statement provides a visible icon in folders where an aliased application...

Ngày tải lên: 20/02/2014, 12:20

... induced from the same data set using all of the 53 features, on the other hand, has 86 leaves with an average of 322 instances per leaf. Hand-selected feature sets. As a result, we next evaluate a version ... problem as a classification task (e.g. Aone and Bennett (1995), McCarthy and Lehnert (1995)). Specifically, a pair of NPs is clas- sified as co-referring or not based on constraints that are learned ... previous work treats linguistic constraints as broadly and un- conditionally applicable hard constraints. Because sources of linguistic information in a learning- based system are represented as features,...

Ngày tải lên: 17/03/2014, 08:20

... 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 ... experiential learning so that they can design programs that are effective, acceptable, and innovative. Many faculty across the United States are using service -learning projects to enhance students’ learning...

Ngày tải lên: 22/03/2014, 15:21

... essential, as pattern-based approach is enhanced with the supervised machine learning. In this paper, we propose a novel approach to automatic synonym identification based on super- vised learning ... David Weir and Diana McCarthy. 2004. Characterising Measures of Lexical Distributional Similarity. Proc. of COLING 04, 1015–1021. 6 formalization of similarity-based approach would be essential, ... 786–774. Shachar Mirkin, Ido Dagan, and Maayan Geffet. 2006. Integrating pattern-based and distributional similarity methods for lexical entailment acquisition. Proc. of COLING/ACL 06, 579–586. Brian...

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Ngày tải lên: 30/03/2014, 17:20

Ngày tải lên: 08/04/2014, 12:44

... integrated into a phrase- based decoder serving as additional distortion fea- tures. We evaluated our approach on large-scale Japanese-English and English-Japanese machine translation tasks, and ... ranking model is auto- matically derived from word aligned parallel data with a syntactic parser for source lan- guage based on both lexical and syntactical features. We evaluated our approach ... Quirk, Arul Menezes, and Colin Cherry. 2005. De- pendency Treelet Translation: Syntactically Informed Phrasal SMT. In Proc. ACL, pages 271-279. A. Ramanathan, Pushpak Bhattacharyya, Jayprasad Hegde,...

Ngày tải lên: 19/02/2014, 19:20

... Statistical Machine Translation using a Maximum Entropy Approach Ismael Garc ´ a Varea Dpto. de Inform´atica Univ. de Castilla-La Mancha Campus Universitario s/n 02071 Albacete, Spain ivarea@info-ab.uclm.es Franz ... dialog act. To include this additional information within the statistical framework we use the maximum en- tropy approach. This approach has been applied in natural language processing to a variety ... boundaries. References Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz J. Och, Noah A. Smith, and David Yarowsky. 1999. Statistical ma- chine translation, final...

Ngày tải lên: 20/02/2014, 18:20

... slightly harder; any decision will need to be based on at least two features. (It is always a good idea to perform exploratory data analysis, such as plotting the data, before applying a machine learning ... 1.5 (a) for some example images. Many generic classification methods ignore any structure in the input features, such as spatial layout. Consequently, they can also just as easily handle data that ... Minka, Ian Nabney, Arthur Pope, Carl Rassmussen, Ryan Rifkin, Ruslan Salakhutdinov, Mark Schmidt, Daniel Selsam, David Sontag, Erik Sudderth, Josh Tenenbaum, Kai Yu, Martin Wainwright, Yair Weiss. Kevin...

Ngày tải lên: 06/03/2014, 03:20

... 1998. Machine trans- lation with a stochastic grammatical channel. In Proceedings of ACL’98, pages 1408–1414, Mon- treal, Canada. Kenji Yamada and Kevin Knight. 2001. A syntax- based statistical ... Global Age. John Benjamins Publishers. Tony Veale and Andy Way. 1997. Gaijin: A template-based bootstrapping approach to example- based machine translation. In Proceedings of “New Methods in Natural ... translation model and a de- scription of its parameters. 3 Building a statistical translation memory Companies that specialize in producing high- quality human translations of documentation and news...

Ngày tải lên: 17/03/2014, 07:20

... discovery and learning. In the learning organisation, leadership can be defined as learning on behalf of the organisation. Is Challenge 2: creating a learning organisation a challenge for you and your colleagues? ... business a learning organisation?”: In this company we have declared that we are going to be a learning organisation. Not only this but that we are going to be a world class learning organisation! ... developed a mental image of a possible and desirable future state for the organisation. This image, which we call a vision, may be as vague as a dream or as precise as a goal or mission statement. The...

Ngày tải lên: 17/03/2014, 21:29

... in language learning. Machine Learning, Special issue on Natural Language Learning, 34:11–41. W. Daelemans, J. Zavrel, K. Van der Sloot, and A. Van den Bosch. 2007. TiMBL: Tilburg memory based learner, ... has been argued that memory-based learning is at an advantage in solving these highly disjunctive learn- ing problems compared to more eager learning that abstract from the examples, as the latter ... Vincent Van Asch, Walter Daelemans CNTS - Language Technology Group University of Antwerp Prinsstraat 13 B-2000 Antwerpen, Belgium {Roser.Morante,Walter.Daelemans,Vincent.VanAsch}@ua.ac.be Abstract In...

Ngày tải lên: 23/03/2014, 13:20