Semantic parsing using content and context: A case study from requirements elicitation

Reut Tsarfaty, Ilia Pogrebezky, Guy Weiss, Yaarit Natan, Smadar Szekely, David Harel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a model for the automatic semantic analysis of requirements elicitation documents. Our target semantic representation employs live sequence charts, a multi-modal visual language for scenariobased programming, which can be directly translated into executable code. The architecture we propose integrates sentencelevel and discourse-level processing in a generative probabilistic framework for the analysis and disambiguation of individual sentences in context. We show empirically that the discourse-based model consistently outperforms the sentence-based model when constructing a system that reflects all the static (entities, properties) and dynamic (behavioral scenarios) requirements in the document.

Original languageEnglish
Title of host publicationEMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1296-1307
Number of pages12
ISBN (Electronic)9781937284961
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Doha, Qatar
Duration: 25 Oct 201429 Oct 2014

Publication series

NameEMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Conference

Conference2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014
Country/TerritoryQatar
CityDoha
Period25/10/1429/10/14

Bibliographical note

Publisher Copyright:
© 2014 Association for Computational Linguistics.

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