@inproceedings{32471de643924c73a7ca04895bd2b078,
title = "Structural Linguistics and Unsupervised Information Extraction",
abstract = "A precondition for extracting information from large text corpora is discovering the information structures underlying the text. Progress in this direction is being made in the form of unsupervised information extraction (IE). We describe recent work in unsupervised relation extraction and compare its goals to those of grammar discovery for science sublanguages. We consider what this work on grammar discovery suggests for future directions in unsupervised IE.",
author = "Ralph Grishman",
note = "Publisher Copyright: {\textcopyright} 2012 Association for Computational Linguistics; 2021 Joint Workshop on Automatic Knowledge Base Construction and Web-Scale Knowledge Extraction, AKBC-WEKEX 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012 ; Conference date: 07-06-2012 Through 08-06-2012",
year = "2012",
language = "English (US)",
series = "Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-Scale Knowledge Extraction, AKBC-WEKEX 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012",
publisher = "Association for Computational Linguistics (ACL)",
pages = "57--61",
editor = "James Fan and Raphael Hoffman and Aditya Kalyanpur and Sebastian Riedel and Fabian Suchanek and Talukdar, {Partha Pratim}",
booktitle = "Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-Scale Knowledge Extraction, AKBC-WEKEX 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics",
}