Báo cáo khoa học: "Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation" doc

... for Computational Linguistics, pages 1006–1014,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsCombining Coherence Models and Machine Translation Evaluation ... Figure 4a and 4b, evaluation metrics al-ways correlate better on the initial task than on theupdate task. This suggests that there is much room for improvement for readability metrics, and metrics need ... outperformsLIN by 1.10%, 5.29%, and 3.95% on the initial task, and 2.50%, 4.74%, and 4.27% on the update task.Table 3 shows that summarization evaluation Metric 4 tops all other AESOP metrics, ...

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

... exist for adjectives and adverbs, and isvery shallow for verbs.Essentially SALAAM relies on variability in translation as it is important to have multiplewords in a typeset to allow for disambiguation.In ... results.5.2 Evaluation Metrics We use the scorer2 software to report ﬁne-grained (P)recision and (R)ecall and (F)-measure.5.3 BaselinesWe consider here several baselines. 1. A randombaseline (RAND) ... Lesk3 for N, A and R but JCN for verbs (Lesk3 JCN).In Table 3 we note the the Lesk3 JCN followedimmediately by Lesk3 Lin yield the best perfor-mance. The trend holds for both SV2AW and SV3AW....

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

... MK–EN, and Pr(b|e) and Pr(e|b) for EN–BG, where m, e, and b stand for aMacedonian, an English, and a Bulgarian word.Then, following (Callison-Burch et al., 2006; Wu and Wang, 2007; Utiyama and ... MK–EN and an EN–BG bitext.First, we induced IBM-model-4 word alignments for MK–EN and EN–BG, from which we extractedfour conditional lexical translation probabilities:Pr(m|e) and Pr(e|m) for ... Association for Computational Linguistics, pages 301–305,Jeju, Republic of Korea, 8-14 July 2012.c2012 Association for Computational LinguisticsCombining Word-Level and Character-Level Models for Machine...

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

... Syntactic, and Semantic Features withMaximum Entropy Models for Extracting RelationsNanda KambhatlaIBM T. J. Watson Research Center1101 Kitchawan Road Route 134Yorktown Heights, NY 10598nanda@us.ibm.comAbstractExtracting ... 2000) augmented syn-tactic parse trees with semantic information corre-sponding to entities and relations and built genera-tive models for the augmented trees. More recently,(Zelenko et al., ... and show the results of our partic-ipation in the ACE evaluation. Automatic Content Extraction (ACE, 2004) is an evaluation conducted by NIST to measure EntityDetection and Tracking (EDT) and...

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

... disambiguation (Dorr and Jones, 1996; Kohomban and Lee, 2005), machine translation (Prescher et al., 2000; Koehn and Hoang,2007), document classiﬁcation (Klavans and Kan,1998), and in statistical ... 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), ... classiﬁcations. For example, Siegel and McKeown (2000) used several machine learn-ing algorithms to perform an automatic aspectualclassiﬁcation of English verbs into event and sta-tive verbs. Merlo and...

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 anapproach to support the participants in forums ordebates to ... considered, and obtains an ac-curacy of 0.61 on the training set and 0.62 on the testset). Even using a basic conﬁguration of EDITS, and a small data set (100 pairs for training) performances4Arguments ... evaluate our task3, we randomly selected a set oftopics (reported in column Topics, Table 1) of De-batepedia debates, and for each topic we coupled allthe pros and cons arguments both with...

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 DidierTrono (E´cole polytechnique fe´de´rale de LausanneEPFL, Lab of virology and genetics, Switzerland) for the supplied reagents. We thank Sandra Manthey and Maria Saile for ... normalizedunscaled standard error indicates the standard error esti-mate distributions obtained for each gene on each arraywhen performing RMA analysis. Normalization ensuresthat the median standard error...

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

... words (such as peace and piece, or quiet and quite) and also the problem of correcting particular word usage errors (such as amount and num- ber, or among and between). Such ... once and for all, and quite manageably, for all con- fusion sets; new confusion sets can be added later without any additional training. This feature makes Trigrams a very easily expandable ... Table 1: Performance of the baseline method for 18 confusion sets. "Train" and "Test" give the number of occurrences of any word in the confusion set in the training and test...

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

... Statistical Translation Models for RetrievalStatistical translation models for retrieval haveﬁrst been introduced by Berger and Lafferty(1999). These models attempt to address syn-onymy and polysemy ... stemming and lemmati-sation, since the answers do not contain the ques-tion 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 glosspairs for one and the same lexeme and one and thesame pair of resources. It is therefore necessary toperform word...

Tài liệu Báo cáo khoa học: "Paraphrasing Using Given and New Information in a Question-Answer System" docx

... questions into given and new information. ~tore s~ectfically, an input question is divided into three parts, of which (2) and (3) form the new information. (1) given information (2) Function ... design and implementation of a paraphrase component for a natural language questlon-answer system (CO-OP) is presented. A major point made is the role of given and new information in formulating ... tree is not divided into given and new information, the flattening and transfor,mtlonal rules can be applied to produce a question that is not in the three-part form. rn CO-OP, generation is...

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