BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment

Asher Stern; Ido Dagan

BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces BiuTee, an open-source system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and its extensibility by which new knowledge resources and inference components can be easily integrated. These abilities make BiuTee an appealing RTE system for two research communities: (1) researchers of end applications, that can benefit from generic textual inference, and (2) RTE researchers, who can integrate their novel algorithms and knowledge resources into our system, saving the time and effort of developing a complete RTE system from scratch. Notable assistance for these researchers is provided by a visual tracing tool, by which researchers can refine and "debug" their knowledge resources and inference components.

Original language	American English
Title of host publication	The ACL 2012 System Demonstrations
Publisher	Association for Computational Linguistics
Pages	73-78
Number of pages	6
State	Published - 1 Jul 2012

Bibliographical note

Place of conference:Jeju Island, Korea

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https://aclanthology.org/P12-3013

Cite this

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title = "BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment",

abstract = "This paper introduces BiuTee, an open-source system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and its extensibility by which new knowledge resources and inference components can be easily integrated. These abilities make BiuTee an appealing RTE system for two research communities: (1) researchers of end applications, that can benefit from generic textual inference, and (2) RTE researchers, who can integrate their novel algorithms and knowledge resources into our system, saving the time and effort of developing a complete RTE system from scratch. Notable assistance for these researchers is provided by a visual tracing tool, by which researchers can refine and {"}debug{"} their knowledge resources and inference components.",

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year = "2012",

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language = "American English",

pages = "73--78",

booktitle = "The ACL 2012 System Demonstrations",

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N2 - This paper introduces BiuTee, an open-source system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and its extensibility by which new knowledge resources and inference components can be easily integrated. These abilities make BiuTee an appealing RTE system for two research communities: (1) researchers of end applications, that can benefit from generic textual inference, and (2) RTE researchers, who can integrate their novel algorithms and knowledge resources into our system, saving the time and effort of developing a complete RTE system from scratch. Notable assistance for these researchers is provided by a visual tracing tool, by which researchers can refine and "debug" their knowledge resources and inference components.

AB - This paper introduces BiuTee, an open-source system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and its extensibility by which new knowledge resources and inference components can be easily integrated. These abilities make BiuTee an appealing RTE system for two research communities: (1) researchers of end applications, that can benefit from generic textual inference, and (2) RTE researchers, who can integrate their novel algorithms and knowledge resources into our system, saving the time and effort of developing a complete RTE system from scratch. Notable assistance for these researchers is provided by a visual tracing tool, by which researchers can refine and "debug" their knowledge resources and inference components.

UR - https://scholar.google.co.il/scholar?q=BIUTEE%3A+A+Modular+Open-Source+System+for+Recognizing+Textual+Entailment&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

SP - 73

EP - 78

BT - The ACL 2012 System Demonstrations

PB - Association for Computational Linguistics

ER -

BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment

Abstract

Bibliographical note

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