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
... Proceedings of ACL-08: HLT, pages 97–105,Columbus, Ohio, USA, June 2008.c2008 Association for Computational LinguisticsBayesian Learning of Non-compositional Phrases with Synchronous ParsingHao ... 14627gildea@cs.rochester.eduAbstractWe combine the strengths of Bayesian mod-eling and synchronous grammar in unsu-pervised learning of basic translation phrasepairs. The structured space of a synchronous grammar is a natural ... DepartmentUniversity of RochesterRochester, NY 14627zhanghao@cs.rochester.eduChris QuirkMicrosoft ResearchOne Microsoft WayRedmond, WA 98052 USAchrisq@microsoft.comRobert C. MooreMicrosoft ResearchOne...
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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% F1score1on section 23 of the WSJ.This ... training data is a set of parse trees T that we assume was produced by anunknown TSG g with probability Pr(T |g). UsingBayes’ rule, we can compute the probability of aparticular hypothesized grammar ... leaves of subtrees to act aswildcards, and (2) we approximate the most prob-able parse with the top single derivation instead of the top 1,000.Rule probabilities for all grammars were setwith...
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Tài liệu Báo cáo khoa học: "Automatic learning of textual entailments with cross-pair similarities" ppt
... LinguisticsAutomatic learning of textual entailments with cross-pair similaritiesFabio Massimo ZanzottoDISCoUniversity of Milano-BicoccaMilan, Italyzanzotto@disco.unimib.itAlessandro MoschittiDepartment of ... rules that describe a non trivial set of entailment cases. The experiments with the data sets of the RTE 2005 challengeshow an improvement of 4.4% over thestate -of- the-art methods.1 IntroductionRecently, ... ex-amples of the previous section. From the point of view of bag -of- word methods, the pairs (T1, H1)and (T1, H2) have both the same intra-pair simi-larity since the sentences of T1and...
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Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx
... built with and without PW. In Table 2, the PW- prefix refers to the DLMs with PW = 0.5, and the DLMs without PW- prefix refers to DLMs with PW = 0. For both DLM_1 and DLM_2, models with the ... sophisticated lan-guage model. We use the N-best list of N=100,whose “oracle” CER (i.e., the CER of the hy-potheses with the minimum number of errors) is presented in Table 1, indicating the ... subset of the Yomiuri Newspaper corpus. The lexicon we used contains 167,107 entries. Our evaluation was done within a framework of so-called “N-best rescoring” method, in which a list of hypotheses...
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Báo cáo khoa học: "Unsupervised Learning of Narrative Schemas and their Participants" potx
... Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 602–610,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPUnsupervised Learning of Narrative ... role of protagonist. Chain learning and clus-tering is based only on the frequency with whichtwo verbs share arguments, ignoring any features of the arguments themselves.Take this example of ... look at the objects of these verbs and choose the one with the high-est score, usually choosing convict. But in thiscase the subjects offer additional information; thesubject of arrest (police)...
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Tài liệu Báo cáo khoa học: "Semantic Classification of Noun Phrases Using Web Counts and Learning Algorithms" ppt
... dataset of 597 examples. The data is labeled with two different sets of semantic relations: one set of 30 relations with fairly specific meanings, and another set of 5 rela-tions with more ... this paper was twofold. Firstly, we wanted to compare the performance of different machine learning algorithms on the task of map-ping from a vector of web frequencies of para- phrases containing ... relation. 2.2 Machine Learning Algorithms We are also interested in comparing the perform-ance of machine learning algorithms on the task of mapping from n-gram frequencies of joining terms to...
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Tài liệu Báo cáo khoa học: "Online Learning of Approximate Dependency Parsing Algorithms" potx
... increase inrecall of nearly 3% absolute with a slight drop inprecision. These results are very promising andfurther show the robustness of discriminative on-line learning with approximate parsing ... algorithms withinan online learning framework, which has beenshown to be robust with respect approximate in-ference, and describe experiments displaying thatthese new models lead to state -of- the-art ... edge in the depen-dency tree. The score of an edge is in turn com-puted as the inner product of a high-dimensionalfeature representation of the edge with a corre-sponding weight vector,s(i,...
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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot
... Franceemmanuel.dupoux@gmail.comAbstractAccurate 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 ... Thealgorithm, originally proposed for unsuper-vised learning of allophonic variations withina given phoneme set, has been adapted tolearn without any knowledge of the phonemes.An evaluation methodology ... obtained.In this paper, we investigate directly learning theallophone inventory of a language from speech with- out recourse to its phoneme set. We begin with aone-state HMM for all speech sounds...
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Báo cáo khoa học: "Unsupervised Learning of Arabic Stemming using a Parallel Corpus" pot
... 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 be poor perform-ers ... additionalchallenge of infixes, we did not tackle them becausethey often substantially change the meaning. Irregu-lar morphology is also beyond the scope of this pa-per. As a side note for readers with linguistic ... phase was adaptedto use the sum of the weights of a word in a sentenceinstead of the count.2.3 Candidate Stem ScoringAs previously mentioned, each word has a list of substrings that are possible...
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Báo cáo khoa học: "Spectral Learning of Latent-Variable PCFGs" doc
... proofs of theorems 1 and 2. Dueto space limitations we cannot give full proofs; in-stead we provide proofs of some key lemmas. Along version of this paper will give the full proofs.9.1 Proof ... the conven-tional form of the inside-outside algorithm.The proof is by induction, and is similar to theproof of lemma 2; for reasons of space it is omitted.9.2 Proof of the Identity in Eq. ... spectral learning of finite-state transducers;Lugue et al. (2012) considers spectral learning of head automata for dependency parsing. Parikh et al.(2011) consider spectral learning algorithms of...
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