@inproceedings{Shrihari:2000,
  abstract = {This paper discusses the use of our information extraction (IE) system, Textract, in the question answering (QA) track of the recently held TREC-8 tests. One of our major objectives is to examine how IE can help IR (Information Retrieval) in applications like QA. Our study shows: (i) IE can provide solid support for QA; (ii) low-level IE like Named Entity tagging is often a necessary component in handling most types of questions; (iii) a robust natural language shallow parser provides a structural basis for handling questions; (iv) high-level domain independent IE, i.e. extraction of multiple relationships and general events, is expected to bring about a breakthrough in QA.},
  added-at = {2007-12-14T02:46:54.000+0100},
  author = {Srihari, Rohini and Li, Wei},
  biburl = {http://www.bibsonomy.org/bibtex/29df0d224595fff1f2ef1f62c4f9dd43f/diego_ma},
  booktitle = {Proceedings TREC 8 (1999)},
  interhash = {3fc98ec61b8ff27af5bfdf32eaf3926f},
  intrahash = {9df0d224595fff1f2ef1f62c4f9dd43f},
  keywords = {question_answering inf_extraction},
  timestamp = {2007-12-14T02:46:54.000+0100},
  title = {Information Extraction Supported Question Answering},
  url = {http://trec.nist.gov/pubs/trec8/t8_proceedings.html},
  year = 2000
}