a machine learning approach to anomaly detection
Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx
... 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 ... 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 ... science, arts andentertainment, and travel.4.2 The MMAX Annotation ToolThe manual annotation of the training data wasdone with the MMAX (Multi-Modal Annotationin XML) annotation tool (M¨uller and...
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Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx
... embedding in a sentence6. anagram func grammatical function of anaphor7. ananpform form of anaphor8. anaagree person, gender, number9. anacase grammatical case of anaphor10. anas depth ... 17(1):51–89.Ihaka, Ross & Robert Gentleman (1996). R: A language fordata analysis and graphics. Journal of Computational andGraphical Statistics, 5:299–314.Kohavi, Ron & George H. ... top to bottom. If thelist contained an NP-markable at the current posi-tion and if this markable was not an indefinite nounphrase, it was considered a potential anaphor. Inthat case, pairs...
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Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc
... 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 ofwide ... contribute to a natural language understanding or machine translation application. Since WH dependenciesalso tend to distort the surface subcategorizationproperties of verbs, identifying gaps could also ... 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 describe...
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Báo cáo khoa học: "A Supervised Learning Approach to Automatic Synonym Identification based on Distributional Features" ppt
... speculate, the supervised learning mayhave favorably worked to cause the same effect asautomatic feature selection technique. Features withhigh discriminative power may have been automat-ically ... proposed a novel approach to au-tomatic synonym identification based on supervised machine learning and distributional features. Forthis purpose, we re-formalized synonym acquisitionas a classification ... machine learning. In this paper, we propose a novel approach to automatic synonym identification based on super-vised learning technique. Firstly, we re-formalizesynonym acquisition as a classification...
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Báo cáo khoa học: "A Meta Learning Approach to Grammatical Error Correction" doc
... 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 ... the training instances that do not have any errors to alleviate data imbalance in the training set. We emphasize the fact that the two learner corpora differ from each other in three aspects. ... 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...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc
... integrated into a phrase-based decoder serving as additional distortion fea-tures.We evaluated our approach on large-scaleJapanese-English and English-Japanese machine translation tasks, and ... source lan-guage based on both lexical and syntacticalfeatures. We evaluated our approach on large-scale Japanese-English and English-Japanese machine translation tasks, and show that it cansignificantly ... Translation: Syntactically InformedPhrasal SMT. In Proc. ACL, pages 271-279. A. Ramanathan, Pushpak Bhattacharyya, JayprasadHegde, Ritesh M. Shah and Sasikumar M. 2008.Simple syntactic and...
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Báo cáo khoa học: "A Bootstrapping Approach to Unsupervised Detection of Cue Phrase Variants" docx
... 17(4):295–313.Sebastian Pado and Mirella Lapata. 2003. Constructing se-mantic space models from parsed corpora. In Proc. ofACL.Chris D. Paice. 1981. The automatic generation of lit-erary abstracts: an approach ... 2006.c2006 Association for Computational Linguistics A Bootstrapping Approach to Unsupervised Detection of Cue PhraseVariantsRashid M. Abdalla and Simone TeufelComputer Laboratory, University of Cambridge15 ... Thischaracterisation is more informative and specificthan string-based approaches, yet it has the poten-tial for generalisation (useful if the cue phrases areever manually assessed and put into a...
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Báo cáo khoa học: "Towards a Unified Approach to Memory- and Statistical-Based Machine Translation" pdf
... 1998. Machine trans-lation with a stochastic grammatical channel. InProceedings 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 “NewMethods in Natural ... how one can use an ex-isting statistical translation model (Brown et al.,1993) in order to automatically derive a statisticalTMEM. Second, we adapt a decoding algorithmso that it can exploit...
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A memory–based learning approach to event extraction in biomedical texts pptx
... in language learning. Machine Learning, Special issue on Natural Language Learning, 34:11–41.W. Daelemans, J. Zavrel, K. Van der Sloot, and A. Vanden Bosch. 2007. TiMBL: Tilburg memory basedlearner, ... hasbeen argued that memory-based learning is at anadvantage in solving these highly disjunctive learn-ing problems compared to more eager learning thatabstract from the examples, as the latter ... information available in the training corpus andmodelling the task applying an approach similar to the one that has been applied to tasks like semanticrole labeling (Morante et al., 2008) or negationscope...
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Báo cáo khoa học: "A Word-Class Approach to Labeling PSCFG Rules for Machine Translation" pot
... Empirical Methods in Natural Language Process-ing (EMNLP).Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto,and Kazuteru Ohashi. 2006. A clustered global phrasereordering model for statistical machine ... and Ashish Venugopal. 2006. Syntaxaugmented machine translation via chart parsing. InProceedings of the Workshop on Statistical Machine Translation, HLT/NAACL.Andreas Zollmann and Stephan Vogel. ... ofmorphologically similar words into the same class.3Ashish Venugopal and Andreas Zollmann. 2009. Gram-mar based statistical MT on Hadoop: An end -to- endtoolkit for large scale PSCFG based MT. The PragueBulletin...
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