@inproceedings{ab12177f6c254c7aadde8e0d3560a2e3,
title = "Improved parsing for argument-clusters coordination",
abstract = "Syntactic parsers perform poorly in prediction of Argument-Cluster Coordination (ACC).We change the PTB representation of ACC to be more suitable for learning by a statistical PCFG parser, affecting 125 trees in the training set. Training on the modified trees yields a slight improvement in EVALB scores on sections 22 and 23. The main evaluation is on a corpus of 4th grade science exams, in which ACC structures are prevalent. On this corpus, we obtain an impressive ×2.7 improvement in recovering ACC structures compared to a parser trained on the original PTB trees.",
author = "Jessica Ficler and Yoav Goldberg",
note = "Publisher Copyright: {\textcopyright} 2016 Association for Computational Linguistics.; 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.18653/v1/p16-2012",
language = "الإنجليزيّة",
series = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers",
publisher = "Association for Computational Linguistics (ACL)",
pages = "72--76",
booktitle = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers",
address = "الولايات المتّحدة",
}