@inproceedings{Hoenkamp:deGroot:00,
	title = {Finding relevant passages using noun-noun compounds: Coherence vs. proximity},
	author = {Eduard Hoenkamp and Rob de Groot},
	booktitle = {Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
	pages = {385--387},
	url = {http://doi.acm.org/10.1145/345508.345667},
	year = {2000},
	biburl = {http://www.bibsonomy.org/bibtex/2069e7531b061cbe5ae6e1dd9bf9e1940/goalscoringsuperstarhero},
	abstract = {Intuitively, words forming phrases are a more precise description of content than words as a sequence of keywords. Yet, evidence that phrases would be more effective for information retrieval is inconclusive. This paper isolates a neglected class of phrases, that is abundant in communication, has an established theoretical foundation, and shows promise for an effective expression of the user's information need: the noun-noun compound (NNC). In an experiment, a variety of meaningful NNCs were used to isolate relevant passages in a large and varied corpus. In a first pass, passages were retrieved based on textual proximity of the words or their semantic peers. A second pass retained only passages containing a syntactically coherent structure equivalent to the original NNC. This second pass showed a dramatic increase in precision. Preliminary results show the validity of our intuition about phrases in the special but very productive case of NNCs.},
	keywords = {noun passages proximity relevant }
}