Báo cáo khoa học: "Large-Margin Learning of Submodular Summarization Models" pot

Báo cáo khoa học: "Unsupervised Learning of Field Segmentation Models for Information Extraction" pot

Báo cáo khoa học: "Unsupervised Learning of Field Segmentation Models for Information Extraction" pot

... consists of de- scriptions of attributes of an item or offer, and a set of ads for similar items share the same attributes. In these cases, the fields present a salient, intrinsic form of linguistic ... range of linguistic phe- nomena in text, including morphology, parts -of- speech (POS), named entity mentions, and even topic changes in discourse. An HMM consists of a set of...

Ngày tải lên: 23/03/2014, 19:20

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Báo cáo khoa học: "Large-Margin Learning of Submodular Summarization Models" pot

Báo cáo khoa học: "Large-Margin Learning of Submodular Summarization Models" pot

... maximization of submodular functions. In Proceedings of NAACL-HLT, 2010. H. Lin and J. Bilmes. 2011. A Class of Submodu- lar Functions for Document Summarization. In Pro- ceedings of ACL-HLT, ... Cita- tion Summarization Through Keyphrase Extraction. In Proceedings of COLING, 2010. K. Raman, T. Joachims and P. Shivaswamy. Structured Learning of Two-Level Dynamic Rankings. I...

Ngày tải lên: 31/03/2014, 20:20

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Tài liệu Báo cáo khoa học: "Automatic learning of textual entailments with cross-pair similarities" ppt

Tài liệu Báo cáo khoa học: "Automatic learning of textual entailments with cross-pair similarities" ppt

... ex- amples of the previous section. From the point of view of bag -of- word methods, the pairs (T 1 , H 1 ) and (T 1 , H 2 ) have both the same intra-pair simi- larity since the sentences of T 1 and ... rules that describe a non trivial set of entailment cases. The experiments with the data sets of the RTE 2005 challenge show an improvement of 4.4% over the state -of- the-art me...

Ngày tải lên: 20/02/2014, 12:20

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Tài liệu Báo cáo khoa học: "Online Learning of Approximate Dependency Parsing Algorithms" potx

Tài liệu Báo cáo khoa học: "Online Learning of Approximate Dependency Parsing Algorithms" potx

... Online Learning of Approximate Dependency Parsing Algorithms Ryan McDonald Fernando Pereira Department of Computer and Information Science University of Pennsylvania Philadelphia, ... parsing algorithm. of dependents have been gathered. T his allows for the collection of pairs of adjacent dependents in a single stage, which allows for the incorporation of second-order scores,...

Ngày tải lên: 22/02/2014, 02:20

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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot

Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot

... France emmanuel.dupoux@gmail.com Abstract Accurate unsupervised learning of phonemes of a language directly from speech is demon- strated via an algorithm for joint unsupervised learning of the topology and parameters of a hidden Markov ... im- provement in the efficacy of the SSS algorithm as described in Section 2. It is based on observing that the improvement in the goodness...

Ngày tải lên: 08/03/2014, 01:20

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Báo cáo khoa học: "Unsupervised Learning of Arabic Stemming using a Parallel Corpus" pot

Báo cáo khoa học: "Unsupervised Learning of Arabic Stemming using a Parallel Corpus" pot

... indicates an improvement of 22-38% in average pre- cision over unstemmed text, and 96% of the performance of the proprietary stem- mer above. 1 Introduction Stemming is the process of normalizing word ... two examples use the joint probability of the prefix and suffix, with a smoothing back-off (the product of the individual probabilities). Scor- ing models of this form proved to...

Ngày tải lên: 08/03/2014, 04:22

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Báo cáo khoa học: "Bayesian Learning of Non-compositional Phrases with Synchronous Parsing" pot

Báo cáo khoa học: "Bayesian Learning of Non-compositional Phrases with Synchronous Parsing" pot

... Department University of Rochester Rochester, NY 14627 zhanghao@cs.rochester.edu Chris Quirk Microsoft Research One Microsoft Way Redmond, WA 98052 USA chrisq@microsoft.com Robert C. Moore Microsoft Research One ... regimen of 5 it- erations of Model 1, 5 iterations of HMM, and 5 iterations of Model 4. We computed Chinese-to- English and English-to-Chinese word translation ta- bles...

Ngày tải lên: 17/03/2014, 02:20

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Báo cáo khoa học: "Bayesian Learning of a Tree Substitution Grammar" potx

Báo cáo khoa học: "Bayesian Learning of a Tree Substitution Grammar" potx

... the performance of that grammar to that of a heuristically pruned “minimal subset” of it. The latter’s performance was quite good, achiev- ing 90.8% F 1 score 1 on section 23 of the WSJ. This ... Grammar Matt Post and Daniel Gildea Department of Computer Science University of Rochester Rochester, NY 14627 Abstract Tree substitution grammars (TSGs) of- fer many advantages over co...

Ngày tải lên: 17/03/2014, 02:20

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Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx

Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx

... Unsupervised Learning of Dependency Structure for Language Modeling Jianfeng Gao Microsoft Research, Asia 49 Zhichun Road, Haidian District Beijing 100080 China jfgao@microsoft.com Hisami ... the number of pa- rameters of the combined model manageable. To overcome the second obstacle, we used an unsu- pervised learning method that discovers the de- pendency structure of a g...

Ngày tải lên: 17/03/2014, 06:20

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Báo cáo khoa học: "Spectral Learning of Latent-Variable PCFGs" doc

Báo cáo khoa học: "Spectral Learning of Latent-Variable PCFGs" doc

... good choice of values for ψ and φ for parsing. 9 Proofs This section gives proofs of theorems 1 and 2. Due to space limitations we cannot give full proofs; in- stead we provide proofs of some key ... the conven- tional form of the inside-outside algorithm. The proof is by induction, and is similar to the proof of lemma 2; for reasons of space it is omitted. 9.2 Proof of the Iden...

Ngày tải lên: 23/03/2014, 14:20

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