VENSES - A linguistically-based system for semantic evaluation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3944 LNAI, Issue , 2006, Pages 344-371

  Delmonte, Rodolfo ^a   Tonelli, Sara ^a   Boniforti, Marco Aldo Piccolino ^a   Bristot, Antonella ^a  

^a CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA STRUCTURES; INFORMATION TECHNOLOGY; MODULA (PROGRAMMING LANGUAGE); SPATIAL VARIABLES MEASUREMENT; TEXT PROCESSING;

CONSISTENCY CHECKS; OPACITY OPERATORS; TEXT UNDERSTANDING; VENICE SEMANTIC EVALUATION SYSTEM (VENSES);

SEMANTICS;

EID: 33745866630     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11736790_20     Document Type: Conference Paper

References (16)

1. Bos, J., Clark, S., Steedmari, M., Curran, J., Hockenmaier, J.: Wide-coverage semantic representations from a ccg parser. In: Proc. of the 20th International Conference on Computational Linguistics. Geneva, Switzerland (2004)
2. Dagan, I., Glickrnan, O., Magnini, B.: The pascal recognising textual entailnient challenge. In: Proceedings of the Recognising Textual Entailment Challenge, Southampton (UK), (2005) 1-8
3. Delmonte, R.: Evaluating GETARUNS Parser with GREVAL Test Suite, Proc. ROMAND - 20th International Conference on Computational Linguistics - COLING, University of Geneva. (2004) 32-41
4. Delmonte, R.: Text Understanding with GETARUNS for Q/A and Summarization, Proc. ACL 2004 - 2nd Workshop on Text Meaning & Interpretation, Barcelona, Columbia University (2004) 97-104
5. Delmonte R.: GETARUN PARSER - A parser equipped with Quantifier Raising and Anaphoric Binding based on LFG, Proc. LFG2002 Conference, Athens, at http://cslipublications.stanford.edu/hand/miscpubsonline.html (2002) 130-153
6. Delmonte R.: Semantic Parsing with an LFG-based Lexicon and Conceptual Representations. Computers & the Humanities, 5-6 (1990) 461-488
7. Delmonte, R., Blanchi D.: Binding Pronominals with au LFG Parser. In: Proceeding of the Second International Workshop on Parsing Technologies, Cancun (Mexico), ACL. (1991) 59-72
8. Dolan, W.B., Quirk, C., Brockett, C.: Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In: Proceedings of the 20th International Conference on Computational Linguistics, Geneva, Switzerland. (2004)
9. Harabagiu, S., Pasca, M., Maiorano S.: Open-Domain Question Answering Techniques. Natural Language Engineering 1 (1), CUP. (2003) 1-38
10. Lin, D., Pantel, P.: DIRTdiscovery of inference rules from text. In: Knowledge Discovery and Data Mining, (2001) 323-328
11. Punyakanok, V., Roth, D., Yih. W.: Natural language inference via dependency tree mapping: An application to question answering. Computational Linguistics (2004)
12. Raina, R., Haghighi, A., Cox, C., Finkel, J., Michels, J., Toutanova, K., MacCartney, B., Marneffe, M.C., Manning, C.D., Ng, A. Y.: Robust Textual Inference using Diverse Knowledge Sources. In: Proc. of the 1st. PASCAL Recognision Textual Entailment Challenge Workshop, Southampton, U.K., (2005) 57-60
13. Zaenen, A., Karttunen, L., Crouch, R.: Local Textual Inference: Can it be Defined or Circumscribed?. In: Proc. Workshop Empirical Modeling of Semantic Equivalence and Entailment, ACL05, University of Michigan, Ann Arbor Michigan, (2005) 31-36
14. Glickman, O., Dagan, I., Koppel, M.: A Probabilistic Classification Approach for Lexical Textual Entailment, Twentieth National Conference on Artificial Intelligence (AAAI-05), (2005)
15. Corley, C., Mihalcea, R.: Measuring the Semantic Similarity of Texts , in Proceedings of the ACL 2005 Workshop on "Empirical Modeling of Semantic Equivalence and Entailment", Ann Arbor, MI. (2005) 13-18
16. Braz, R., Girju, R., Punyakanok, V., Roth, D., Sammons, M.: An Inference Model for Semantic Entailment in Natural Language. In: Proc. of the 1st. PASCAL Recognision Textual Entailment Challenge Workshop, Southampton, U.K., (2005) 29-32