@inproceedings{c43bd08936ff423aa138cf412dbd8836,
title = "Semantic parsing using content and context: A case study from requirements elicitation",
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.",
author = "Reut Tsarfaty and Ilia Pogrebezky and Guy Weiss and Yaarit Natan and Smadar Szekely and David Harel",
note = "Publisher Copyright: {\textcopyright} 2014 Association for Computational Linguistics.; 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 ; Conference date: 25-10-2014 Through 29-10-2014",
year = "2014",
doi = "10.3115/v1/d14-1136",
language = "الإنجليزيّة",
series = "EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1296--1307",
booktitle = "EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
address = "الولايات المتّحدة",
}