Báo cáo khoa học: "A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classiﬁcation" ppt

... important development has been the useof data-driven methods for the automatic learning of edit costs, such as in (Ristad and Yianilos, 1998) in the case of string edit distance and in (Neuhaus and Bunke, ... Memory in Edit Distance Learning: An Application to Pronunciation ClassiﬁcationKarim Filali and Jeff Bilmes∗Departments of Computer Science & Engineering and Electrical EngineeringUniversity ... Proceedings of the 43rd Annual Meeting of the ACL, pages 338–345,Ann Arbor, June 2005.c2005 Association for Computational LinguisticsA Dynamic Bayesian Framework to Model Context and Memory in...

Tài liệu Báo cáo khoa học: "A Fully Bayesian Approach to Unsupervised Part-of-Speech Tagging∗" docx

... 1995);probabilistic models have been used to ﬁnd classesthat can improve smoothing and reduce perplexity(Brown et al., 1992; Saul and Pereira, 1997). Unfor-tunately, due to a lack of standard and informativeevaluation ... α and β and evaluated overall tagging accuracy. For com-parison with our Bayesian HMM (BHMM) in this and following sections, we also present results fromthe Viterbi decoding of an HMM trained ... results for a range of corpus sizes and dic-tionary information, and Section 6 concludes.2 A Bayesian HMM2.1 Motivation In model- based approaches to unsupervised lan-guage learning, the problem...

Báo cáo khoa học: "A Nonparametric Bayesian Approach to Acoustic Model Discovery" docx

... would like to thank Hung -an Chang and Ekapol Chuangsuwanich for training the English and Thai acoustic models. Thanks to Matthew John-son, Ramesh Sridharan, Finale Doshi, S.R.K. Brana-van, the ... training set and were searched for in the test setusing segmental dynamic time warping (Zhang and Glass, 2009). In addition to the supervised acoustic models,we also compare our model against ... acoustic-phonetic continuous speech corpus.Andrew Gelman, John B. Carlin, Hal S. Stern, and Don-ald B. Rubin. 2004. Bayesian Data Analysis. Texts in Statistical Science. Chapman & Hall/CRC, secondedition.James...

Báo cáo khoa học: "A Risk Minimization Framework for Extractive Speech Summarization" doc

... with a document to be summarized, into this framework, 2) exploring different modeling approaches for this framework, 3) investigating discriminative training criteria for training the component ... mod-els in this framework, and 4) extending and ap-plying the proposed framework to multi-document summarization tasks. References James O. Berger Statistical decision theory and Bayesian analysis. ... have already been included into the summary and the novelty factor  is used to trade off be-tween relevance and redundancy. 4.4 Relation to other summarization models In this subsection,...

Báo cáo khoa học: "A Hierarchical Bayesian Language Model based on Pitman-Yor Processes" docx

... excel-lent performance and the accompanying advan-tages of Bayesian probabilistic models, in propos-ing a novel and efﬁcient inference scheme for the model, and in establishing the direct correspon-dence ... and ease in using as part of morecomplex models; we plan to look into these possi-ble improvements and extensions.The hierarchical Dirichlet language model of(MacKay and Peto, 1994) was an ... between interpolated Kneser-Ney and the Bayesian approach.We describe the Pitman-Yor process in Sec-tion 2, and propose the hierarchical Pitman-Yorlanguage model in Section 3. In Sections 4 and 5...

Báo cáo khoa học: "A Multi-resolution Framework for Information Extraction from Free Text" pptx

... stored and used in the training model for use during testing. (b) Evaluation of relation. Here we want to evaluate whether relation InputRel belongs to a path between anchors InputAi and ... performance of ASSERT is F1=83.8% on the identification and classification task for all arguments, evaluated using PropBank and AQUAINT as the training and testing corpora, respectively. Since ... respec-tively. 1 Introduction Information Extraction (IE) is the task of identify-ing information in texts and converting it into a predefined format. The possible types of informa-tion include entities,...

Báo cáo khoa học: "A Probabilistic Modeling Framework for Lexical Entailment" potx

... vari-ous levels of inference, including logical represen-tation (Tatu and Moldovan, 2007; MacCartney and Manning, 2007), semantic analysis (Burchardt et al.,2007) and syntactic parsing (Bar-Haim ... Har-rison, 2010), or applying an Information Retrieval-style vector space similarity score (MacKinlay and Baldwin, 2009). Other works (Corley and Mihal-cea, 2005; Zanzotto and Moschitti, 2006) have ... maycompose transitive chains that connect a term t ∈ T to a term h ∈ H through intermediate terms. Forinstance, from the rules infer → inference and infer-ence → reasoning we can deduce the rule infer...

Báo cáo khoa học: "A Metric-based Framework for Automatic Taxonomy Induction" potx

... types of features include contextual (Lin, 1998), co-occurrence (Yang and Callan, 2008), and syntactic dependency (Pantel and Lin, 2002; Pantel and Ravichandran, 2004). So far there is no systematic ... pattern-based approaches include question-answer relations (such as birthdates and inven-tor) (Ravichandran and Hovy, 2002), synonyms and antonyms (Lin et al., 2003), general purpose analogy (Turney ... Ra-vichandran and Hovy, 2002; Pantel and Pennac-chiotti, 2006). It utilizes a few man-crafted seed patterns to extract instances from corpora, then extracts new patterns using these instances, and...

Báo cáo khoa học: "A Dynamic Logic Formalisation of the Dialogue Gameboard" potx

... to model three different scenarios: asking and re-sponding to a question, integrating a propositioninto the commonly agreed facts, and asking forclarification when the content of an utterance ... has been used to provide an ac-count of the kind of context that licenses ellipticalresponses in dialogue (Ginzburg, 1999; Fernandez19 and Ginzburg, 2002; Fernandez et al., 2003) and has also ... constants and a set of variables. In addition to the proposi-tional connectives and the universal and existentialquantifier symbols, the language also includes twomodal operators 11 and <>,...

Tài liệu Báo cáo khoa học: "A Succinct N-gram Language Model" ppt

... Speciﬁcally, an integer within therange of 0 to 255 is coded as a 1-byte integer,the integers within the range of 256 to 65,535 arestored as 2-byte integers, and so on. We use an ad-ditional bit vector ... language model structure and introduced alossless algorithm that compressed a sorted integervector by recursively s hifting a certain number ofbits and by emitting index-value inverted vectors.However, ... amachine with hundreds of gigabytes of memory or a large computer cluster to handle them.Either pruning (Stolcke, 1998; Church et al.,2007) or lossy randomizing approaches (Talbot and Brants,...

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