Báo cáo khoa học: "Combining Lexical, Syntactic, and Semanti

Báo cáo khoa học: "Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Extracting Relations" pptx

... Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Extracting Relations Nanda Kambhatla IBM T. J. Watson Research Center 1101 ... observations in section 4. 2 Maximum Entropy models for extracting relations We built Maximum Entropy models for predicting the type of relation (if any) between every pair of mentions within...

Ngày tải lên : 31/03/2014, 03:20

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Báo cáo khoa học: "Using Lexical Dependency and Ontological Knowledge to Improve a Detailed Syntactic and Semantic Tagger of English" pot

... simple set of features: the article before; the POS before and after; the preposition before and after, and the syntactic category before and after the word be- ing labeled. The features used ... both dependency parses and hierarchical word ontologies into a maximum- entropy- based tagging model that simultaneously labels words with both syntax and semantics. Our ﬁndings sh...

Ngày tải lên : 17/03/2014, 04:20

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Tài liệu Báo cáo khoa học: "Combining Lexical Semantic Resources with Question & Answer Archives for Translation-Based Answer Finding" doc

... stemming and lemmati- sation, since the answers do not contain the question terms “mosquito” (for question 2) and “form” (for question 3), but only their inﬂected forms “mosquitoes” and “formed”. 6 ... senses, and hence dif- ferent glosses, it is possible to extract several gloss pairs for one and the same lexeme and one and the same pair of resources. It is therefore nec...

Ngày tải lên : 20/02/2014, 07:20

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Báo cáo khoa học: "Combining EM Training and the MDL Principle for an Automatic Verb Classiﬁcation incorporating Selectional Preferences" pot

... Figure 2. Both for 10 and 20 frames, the results are better for 50 than for 20 clusters, with small differences between 10 and 20 frames. The results vary between -11.850 and -10.620 (for 5-50 iterations), ... cluster, and not on the verb, 4. selecting a WordNet concept r for each argument slot, e.g. person for the ﬁrst slot with probability p(person|c 3 , subj-pp.to,...

Ngày tải lên : 08/03/2014, 01:20

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Báo cáo khoa học: "Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions" ppt

... relation between T1 and H (Example 1), and a contradiction between T2 and H (Example 2). As introduced before, our paper proposes an approach to support the participants in forums or debates to ... contradict such argument with opinions against it (Example 2). Since in debates arguments come one after the other, we extract and compare them both with respect to the main issue, and...

Ngày tải lên : 16/03/2014, 20:20

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Báo cáo khoa học: "Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD" pot

... (Lesk2); FRGL using Lesk3 for all POS tags (Lesk3); using Lesk3 for N, A and R but LIN similarity measure for verbs (Lesk3 Lin); using Lesk3 for N, A and R but JCN for verbs (Lesk3 JCN). In ... examples with TransCont. We found that the best results are yielded using the Lesk2/Lesk3 similarity measure for N, A and R POS tagsets, while the Lin and JCN measures yield the...

Ngày tải lên : 17/03/2014, 00:20

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Báo cáo khoa học: Combining theoretical analysis and experimental data generation reveals IRF9 as a crucial factor for accelerating interferon a-induced early antiviral signalling pdf

... GST-JAK1DN for pJAK1, JAK1, pTYK2 and TYK2, calnexin for pSTAT1, STAT1, pSTAT2, STAT2 and IRF9, in the cytoplasm and poly [ADP-ribose] polymerase 1 for pSTAT1, STAT1, pSTAT2, STAT2 and IRF9 in ... Hauser and Didier Trono (E ´ cole polytechnique fe ´ de ´ rale de Lausanne EPFL, Lab of virology and genetics, Switzerland) for the supplied reagents. We thank Sandra Manthey an...

Ngày tải lên : 23/03/2014, 03:20

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Báo cáo khoa học: "Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages" ppt

... alignments for MK–EN and EN–BG, from which we extracted four conditional lexical translation probabilities: Pr(m|e) and Pr(e|m) for MK–EN, and Pr(b|e) and Pr(e|b) for EN–BG, where m, e, and b stand for ... alignments with good performance in terms of phrase-based translation. In our experiments, we used GIZA++ (Och and Ney, 2003) with standard settings and the grow...

Ngày tải lên : 23/03/2014, 14:20

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Báo cáo khoa học: "Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction" docx

... once and for all, and quite manageably, for all confusion sets; new confusion sets can be added later without any additional training. This feature makes Trigrams a very easily expandable ... two types of features: context words and collocations. Context-word features test for the presence of a particular word within +k words of the target word; collocations test for...

Ngày tải lên : 23/03/2014, 20:21

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Tài liệu Báo cáo khoa học: Unusual metal specificity and structure of the group I ribozyme fromChlamydomonas reinhardtii23S rRNA pptx

... Mn 2+ : the k obs at 150 lm GMP is 0.96 min )1 with Mn 2+ and 0.87 min )1 without it, and at 20 lm GMP, the k obs is 0.49 min )1 with Mn 2+ and 0.55 min )1 without it. We conclude that Mn 2+ increases ... expðÀk a Â tÞþB expðÀk b Â tÞð2Þ A and k a are the percentage and observed rate constant for the fast-reacting pre-RNA, and B and k b are the same parameters for the sl...

Ngày tải lên : 19/02/2014, 07:20

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