PLIS: A probabilistic lexical inference system

Eyal Shnarch, Erel Segal-Halevi, Jacob Goldberger, Ido Dagan

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


This paper presents PLIS, an open source Probabilistic Lexical Inference System which combines two functionalities: (i) a tool for integrating lexical inference knowledge from diverse resources, and (ii) a framework for scoring textual inferences based on the integrated knowledge. We provide PLIS with two probabilistic implementation of this framework. PLIS is available for download and developers of text processing applications can use it as an off-the-shelf component for injecting lexical knowledge into their applications. PLIS is easily configurable, components can be extended or replaced with user generated ones to enable system customization and further research. PLIS includes an online interactive viewer, which is a powerful tool for investigating lexical inference processes.

Original languageEnglish
Pages (from-to)97-102
Number of pages6
JournalProceedings of the Annual Meeting of the Association for Computational Linguistics
StatePublished - 2013
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: 4 Aug 20139 Aug 2013

Bibliographical note

Funding Information:
The authors thank Eden Erez for his help with the interactive viewer and Miquel Esplà Gomis for the bilingual dictionaries. This work was partially supported by the European Community’s 7th Framework Programme (FP7/2007-2013) under grant agreement no. 287923 (EXCITEMENT) and the Israel Science Foundation grant 880/12.

Publisher Copyright:
© 2013 Association for Computational Linguistics.


Dive into the research topics of 'PLIS: A probabilistic lexical inference system'. Together they form a unique fingerprint.

Cite this