Báo cáo khoa học: "Automatic Story Segmentation using a Bayesian Decision Framework for Statistical Models of Lexical Chain Features" pdf

... distri-bution for lexical chain starts and ends at story boundaries, the uniform distribution for lexical chain start / end at non -story boundary, and the normal distribution for lexical chain continua-tions. ... Modeling of Lexical Chain Features 4.1 Chain starts and ends We follow (Chan et al. 2007) to model the lexi-cal chain starts and ends at a story boundary with a statistical distribution. We apply ... seconds(non -story boundaries only) Lexical chain starts / endsFitted uniform dist. for lexical chain startsxFitted uniform dist. for lexical chain ends Lexical chain starts / endsFitted uniform...

Báo cáo khoa học: "Linear Text Segmentation using a Dynamic Programming Algorithm" potx

... Linear Text Segmentation using a Dynamic Programming AlgorithmAthanasios KehagiasDept. of Math., Phys.and Comp. SciencesAristotle Univ of ThessalonikiGREECEkehagias@egnatia.ee.auth.grFragkou ... (Heinonen,1998) and Utiyama and Isahara (Utiyama and Isa-hara, 2001).Finally, other researchers use probabilistic ap-proaches to text segmentation including the use of hidden Markov models (Yamron et al.,1999), ... following Hallidayand Hasan's theory (Halliday and Hasan, 1976),utilize statistical similarity measures such as wordcooccurrence. For example the linear discourse segmentation algorithm proposed...

Tài liệu Báo cáo khoa học: "Automatic Headline Generation using Character Cross-Correlation" doc

... is a nominated list of head-lines of a length of 10 words. In the case of a para-graph of a length less than 10, there will be only one nominated headline of the same length of that paragraph. ... the cate-gory of short summaries. 3 Preparing Data The dataset used in this work was extracted from Arabic Gigaword (Graff, 2007). The Arabic Giga-word is a collection of text data extracted ... After automatically generating the headlines, 3 native Arabic speaker examiners were hired to eva-luate one of the generated headlines as well as the original headline. Also, they were asked...

Báo cáo khoa học: "Automatic Sanskrit Segmentizer Using Finite State Transducers" pdf

... verse,San: n¯aradam paripapracchav¯alm¯ıkirmunipu˙ngavamgloss: tothe Narada asked Valmiki-tothe wisest among sagesEng: Valmiki asked the Narada, the wisest amongthe sages.In the above ... vacah..We assume that the sandhi handler handling thesandhi involving spaces is available and it splitsthe above string as,´srutv¯ a caitattrilokaj˜nah.v¯alm¯ıkern¯aradah.vacah..The ... n¯aradah.vacah..gloss: afterlistening and Narada’s speechEng: And after listening to Narada’s speechThe third factor aggravating Sanskrit segmen-tation is productive compound formation....

Báo cáo khoa học: "Automatic Image Annotation Using Auxiliary Text Information" potx

... have large and diversedatasets both for training and evaluation.In this work, we aim to relieve the data acquisitionbottleneck associated with automatic image annota-tion by taking advantage ... Mirella LapataSchool of Informatics, University of Edinburgh2 Buccleuch Place, Edinburgh EH8 9LW, UKY.Feng-4@sms.ed.ac.uk, mlap@inf.ed.ac.ukAbstractThe availability of databases of images labeledwith ... imagefeatures with words. Standard latent semantic anal-ysis (LSA) and its probabilistic variant (PLSA) havebeen applied to this task (Hofmann, 1998). Barnardet al. (2002) propose a hierarchical...

Báo cáo khoa học: " Automatic Verb Classification Using Distributions of Grammatical Features" ppt

... .158] 4 All raw and normalized corpus data are available from the authors. Table 1: Accuracy of the Verb Clustering Task. Features Accuracy 1. VBD ACT INTI~ CAUS 52% "2. VBD ACT CAUS 54% ... accuracy and standard error. This procedure is then repeated for 10 different ran- dom divisions of the data, and accuracy and standard error are again averaged across the ten runs. even smaller ... ch Abstract We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diathe- ses, extracted...

Báo cáo khoa học: "Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap" potx

... the head‘rescue’, andlemma:failing arg:ARG1 var:bankwhich indicates that the argument of ‘failing’ is‘bank’.Note that any tree can be transformed into a feature for a particular lexical item ... (Thepattern-based approach uses a set of manually-constructed patterns applied to a web search.)In the same vein, Geffet and Dagan (2005) fil-ter the result of a pattern-based system using fea-ture ... semantic patterns, perform a first stage of filtering using the semantic signa-tures of each word and apply a final stage of filter-ing relying on surface substitutability, which wename ‘immediate...

Báo cáo khoa học: "Accurate Collocation Extraction Using a Multilingual Parser" docx

... varies from 50 to 500 at intervals of 50) are checked in each case for grammaticalwell-formedness and for lexicalization. By lexi-calization we mean the quality of a pair to con-stitute (part ... Its author had to simulate parsing because of the lack, at the time, of parsing tools for Ger-man. Our report, that concerns an actual systemand a large data set, validates Breidt’s ﬁnding for a ... grammati-cality) of candidates proposed; and after the ap-plication of collocability measures, for evaluatingthe measures applied. In each of these cases, dif-ferent evaluation methodologies and...

Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx

... is labeled for each particular verb as so-called frames. Addition-ally, semantic roles can also be labeled with one of 13 ARGM adjunct labels, such as ARGM-LOC orARGM-TMP for additional locational ... solutions are compli-cated, consist of several stages and hand-built features, and are too slow to be appliedas part of real applications that require suchsemantic labels, partly because of their ... solves a multi-class prob-lem using a one-vs-the-rest approach. The ﬁnal sys-tem, called ASSERT, gives state -of- the-art perfor-mance and is also freely available at: http://oak.colorado.edu/assert/....

Báo cáo khoa học: "Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling" pptx

... of the 43rd Annual Meeting of the ACL, pages 346–353,Ann Arbor, June 2005.c2005 Association for Computational LinguisticsLearning Stochastic OT Grammars: A Bayesian approach using Data Augmentation ... contains allthe information needed for linguists’ use: for exam-ple, if there is a grammar that will generate the exactfrequencies as in the data, such a grammar will ap-pear as a mode of the ... identiﬁability,whereas the convexity property of Max-Ent may beviewed as an advantage15.8 DiscussionFrom a non -Bayesian perspective, the MCMC-basedapproach can be seen as a randomized strategy for learning...

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