Báo cáo khoa học: "Distant supervision for relation extraction without labeled data" docx

Báo cáo khoa học: "Distant supervision for relation extraction without labeled data" docx

Báo cáo khoa học: "Distant supervision for relation extraction without labeled data" docx

... AFNLP Distant supervision for relation extraction without labeled data Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 {mikemintz,sbills,rion,jurafsky}@cs.stanford.edu Abstract Modern ... models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand -labeled corpora. We investigate a...

Ngày tải lên: 23/03/2014, 16:21

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Tài liệu Báo cáo khoa học: "Composite Kernels For Relation Extraction" pdf

Tài liệu Báo cáo khoa học: "Composite Kernels For Relation Extraction" pdf

... benchmark dataset. We close with a summary and conclu- sions. 2 Kernels for Relation Extraction Relation extraction aims at learning a relation from a number of positive and negative instances in natural ... tree kernel outperforms all others by 5.7% F-Measure reaching an F-Measure of 71.2%. This result shows that both types of parse trees contain relevant information for relat...

Ngày tải lên: 20/02/2014, 09:20

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Báo cáo khoa học: "Pattern Learning for Relation Extraction with a Hierarchical Topic Model" pptx

Báo cáo khoa học: "Pattern Learning for Relation Extraction with a Hierarchical Topic Model" pptx

... conference on Information and knowledge management, pages 509–518. ACM. M. Mintz, S. Bills, R. Snow, and D. Jurafsky. 2009. Dis- tant supervision for relation extraction without labeled data. In ... aggregated extractions. On the other hand, birth place and nationality have very different results for new relation acquisition vs. finding sentence support for new relations. The...

Ngày tải lên: 30/03/2014, 17:20

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Báo cáo khoa học: "End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories" docx

Báo cáo khoa học: "End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories" docx

... March. Mike Mintz, Steven Bills, Rion Snow, and Daniel Juraf- sky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL-AFNLP, pages 1003–1011, Suntec, Singapore, ... Association for Computational Linguistics:shortpapers, pages 277–282, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics End-to-End Rel...

Ngày tải lên: 30/03/2014, 21:20

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Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx

Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx

... Meeting of the Association for Computational Linguistics, pages 211–219, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Goodness: A Method for Measuring Machine ... approach faces a serious issue when forward and backward translation models are symmetric. In this case, back-translation will not be very informative to indicate forward translation qu...

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "A PROGRAM FOR ALIGNING SENTENCES IN BILINGUAL CORPORA" docx

Tài liệu Báo cáo khoa học: "A PROGRAM FOR ALIGNING SENTENCES IN BILINGUAL CORPORA" docx

... characters and 0.33 for words, indicating that characters are less noisy than words, and are therefore more suitable for use in align. 7. Conclusions This paper has proposed a method for aligning ... regression. The result for English-German is s 2 = 7.3, and for English-French is s 2 = 5.6. Again, we have found that the difference in the two slopes is not too important. The...

Ngày tải lên: 20/02/2014, 21:20

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Báo cáo khoa học: "Bayesian Inference for Zodiac and Other Homophonic Ciphers" docx

Báo cáo khoa học: "Bayesian Inference for Zodiac and Other Homophonic Ciphers" docx

... Knight University of Southern California Information Sciences Institute Marina del Rey, California 90292 {sravi,knight}@isi.edu Abstract We introduce a novel Bayesian approach for deciphering complex substitution ... starting from a random initial sample, but easier to “find n-grams”. Sampling for ciphers without spaces: For ciphers without spaces, dictionaries are hard to use becaus...

Ngày tải lên: 07/03/2014, 22:20

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Báo cáo khoa học: "Unary Constraints for Efficient Context-Free Parsing" docx

Báo cáo khoa học: "Unary Constraints for Efficient Context-Free Parsing" docx

... the Association for Computational Linguistics:shortpapers, pages 676–681, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Unary Constraints for Efficient Context-Free ... therefore critical that the number of active states 676 (a) Original tree (b) Transformed tree (c) Dynamic programming chart Figure 1: Example parse structure in (a) the original Pe...

Ngày tải lên: 17/03/2014, 00:20

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Báo cáo khoa học: "A Framework for Unsupervised Natural Language Morphology Induction" docx

Báo cáo khoa học: "A Framework for Unsupervised Natural Language Morphology Induction" docx

... occur in a variety of word forms. Each word form carries two pieces of information: 1) Lexical content and 2) Morphosyntactic properties. For example, the English word form gave ex- presses the ... Motivation When learning the morphology of a foreign lan- guage, it is common for a student to study tables of inflection classes. Carstairs-McCarthy formalizes the concept of an inflect...

Ngày tải lên: 17/03/2014, 06:20

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Báo cáo khoa học: "Probabilistic Parsing for German using Sister-Head Dependencies" docx

Báo cáo khoa học: "Probabilistic Parsing for German using Sister-Head Dependencies" docx

... models also performs worse than the base- line, at 67.91% LR and 66.07% LP. Performance using perfect tags (an upper bound of model performance) is 2–3% higher for the base- line and for the C&R ... Results for Experiment 2: performance for models using split phrases and sister-head dependencies CNP, etc.), a drop in performance of around 1% each is observed. A slight drop is obse...

Ngày tải lên: 17/03/2014, 06:20

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