@article {13752,
	title = {Cross-language headline generation for Hindi},
	journal = {ACM Transactions on Asian Language Information Processing (TALIP)},
	volume = {2},
	year = {2003},
	month = {2003/09//},
	pages = {270 - 289},
	abstract = {This paper presents new approaches to headline generation for English newspaper texts, with an eye toward the production of document surrogates for document selection in cross-language information retrieval. This task is difficult because the user must make decisions about relevance based on (often poor) translations of retrieved documents. To facilitate the decision-making process we need translations that can be assessed rapidly and accurately; our approach is to provide an English headline for the non-English document. We describe two approaches to headline generation and their application to the recent DARPA TIDES-2003 Surprise Language Exercise for Hindi. For comparison, we also implemented an alternative method for surrogate generation: a system that produces topic lists for (Hindi) articles. We present the results of a series of experiments comparing each of these approaches. We demonstrate in both automatic and human evaluations that our linguistically motivated approach outperforms two other surrogate-generation methods: a statistical system and a topic discovery system.},
	isbn = {1530-0226},
	doi = {10.1145/979872.979878},
	url = {http://doi.acm.org/10.1145/979872.979878},
	author = {Dorr, Bonnie J and Zajic, David and Schwartz,Richard}
}
