Báo cáo khoa học: "Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions" ppt

... Association for Computational Linguistics, pages 208–212, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Combining Textual Entailment and Argumentation Theory for ... and can be discouraged from interacting through these applications. In our paper, we combine textual entailment with argumentation theory to automatically ext...

Ngày tải lên: 16/03/2014, 20:20

... evaluating with ROUGE/BE and Pyramid, DUC and TAC also asked human judges to score every candidate summary with regard to its content, readability, and overall re- sponsiveness. DUC and TAC defined linguistic ... representa- tions for both the model and candidate summaries, and applied graph matching algorithm to assess their similarity. Conroy et al. (2011) extended the model in...

Ngày tải lên: 07/03/2014, 18:20

... 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 aspectual classification of English verbs into...

Ngày tải lên: 08/03/2014, 01:20

... (Lesk2); FRGL using Lesk3 for all POS tags (Lesk3); using Lesk3 for N, A and R but LIN simi- larity measure for verbs (Lesk3 Lin); using Lesk3 for N, A and R but JCN for verbs (Lesk3 JCN). In ... applied to the contextual word. 5 For the monolingual system, we employ the same normalization values used in SM07 for the different similarity measures. Namely for the Lesk and...

Ngày tải lên: 17/03/2014, 00:20

... 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 Didier Trono (E ´ cole polytechnique fe ´ de ´ rale de Lausanne EPFL, Lab of virology and genetics, Switzerland) for the supplied reagents. We thank Sandra Manthey an...

Ngày tải lên: 23/03/2014, 03:20

... MK–EN, and Pr(b|e) and Pr(e|b) for EN–BG, where m, e, and b stand for a Macedonian, 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 extracted four conditional lexical translation probabilities: Pr(m...

Ngày tải lên: 23/03/2014, 14:20

... 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 ex...

Ngày tải lên: 23/03/2014, 20:21

... Syntactic, and Semantic Features with Maximum Entropy Models for Extracting Relations Nanda Kambhatla IBM T. J. Watson Research Center 1101 Kitchawan Road Route 134 Yorktown Heights, NY 10598 nanda@us.ibm.com Abstract Extracting ... trees. For the Template Relations task of MUC-7, BBN researchers (Miller et al., 2000) augmented syn- tactic parse trees with semantic information corre- sp...

Ngày tải lên: 31/03/2014, 03:20

... German and English CELEX wordlists are automatically classified as such. This improved classifier results over tokens and types, as seen in Table 1 in the comparison of token and type precision for ... findings that D U and D T serve better than fre- quency as predictors of word fate, for the set of an- glicisms (Table 3), all correlations were both nega- tive and stronger, and i...

Ngày tải lên: 19/02/2014, 19:20

... candidate for SE/OE, and each of adjective (or verb) words as a candidate for PR. However, this candidate detection has serious problems as follows: 4) There are many actual SEs, OEs, and ... keyword types and sentence types. Mining comparative entities and predicates (Task 2): Our basic idea for the second task is selecting candidates first and finding answers fro...

Ngày tải lên: 20/02/2014, 04:20