@inproceedings{e6eedc2d1b164cbca42aed8be2088a2e,
title = "Integrating verbal idioms into an NLP system",
abstract = "{\textcopyright} Springer International Publishing Switzerland 2014.This paper describes the integration of verbal idioms into an Natural Language Processing (NLP) system, adopting a construction approach, which is based on the prior parsing stage, so that these Multi- Word Expressions (MWE) can be taken into account in subsequent tasks, such as semantic role labeling or whole-part relation extraction. The paper focuses on body-part nouns, which are often part of many verbal idioms, and uses a manually annotated corpus to evaluate its parsing strategy. Results showed a precision of 0.92, 0.83 recall, 0.87 f-measure and an accuracy 0.99.",
author = "J. Baptista and N. Mamede and I. Markov",
year = "2014",
doi = "10.1007/978-3-319-09761-9",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "250--255",
editor = "N. Mamede and J. Baptista and S. Candeias and I. Paraboni and T.A.S. Pardo and M.G.V. Nunes",
booktitle = "Computational Processing of the Portuguese Language - 11th International Conference, PROPOR 2014, Proceedings",
note = "11th International Conference on Computational Processing of Portuguese, PROPOR 2014 ; Conference date: 06-10-2014 Through 08-10-2014",
}