%0 Conference Paper %1 shnarch_probabilistic_2011 %A Shnarch, Eyal %A Goldberger, Jacob %A Dagan, Ido %B Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers - Volume 2 %C Stroudsburg, PA %D 2011 %I Association for Computational Linguistics %K linguistik %P 558--563 %T A probabilistic modeling framework for lexical entailment %U http://dl.acm.org/citation.cfm?id=2002736.2002846 %X Recognizing entailment at the lexical level is an important and commonly-addressed component in textual inference. Yet, this task has been mostly approached by simplified heuristic methods. This paper proposes an initial probabilistic modeling framework for lexical entailment, with suitable EM-based parameter estimation. Our model considers prominent entailment factors, including differences in lexical-resources reliability and the impacts of transitivity and multiple evidence. Evaluations show that the proposed model outperforms most prior systems while pointing at required future improvements. %@ 978-1-932432-88-6

@inproceedings{shnarch_probabilistic_2011, abstract = {Recognizing entailment at the lexical level is an important and commonly-addressed component in textual inference. Yet, this task has been mostly approached by simplified heuristic methods. This paper proposes an initial probabilistic modeling framework for lexical entailment, with suitable EM-based parameter estimation. Our model considers prominent entailment factors, including differences in lexical-resources reliability and the impacts of transitivity and multiple evidence. Evaluations show that the proposed model outperforms most prior systems while pointing at required future improvements.}, added-at = {2018-11-04T16:54:56.000+0100}, address = {Stroudsburg, PA}, author = {Shnarch, Eyal and Goldberger, Jacob and Dagan, Ido}, biburl = {https://www.bibsonomy.org/bibtex/271223b55905882ccf22e4f983ecedb5e/lepsky}, booktitle = {Proceedings of the 49th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics}: {Human} {Language} {Technologies}: {Short} {Papers} - {Volume} 2}, interhash = {55a74e562a32e240793145e6ea04527a}, intrahash = {71223b55905882ccf22e4f983ecedb5e}, isbn = {978-1-932432-88-6}, keywords = {linguistik}, pages = {558--563}, publisher = {Association for Computational Linguistics}, series = {{HLT} '11}, timestamp = {2018-11-04T16:54:56.000+0100}, title = {A probabilistic modeling framework for lexical entailment}, url = {http://dl.acm.org/citation.cfm?id=2002736.2002846}, urldate = {2017-07-12}, year = 2011 }