@inproceedings{b-anaya-kosseim-2003-generation,
title = "Generation of natural responses through syntactic patterns",
author = "B. Anaya, Glenda and
Kosseim, Leila",
editor = "Daille, B{\'e}atrice and
Morin, Emmanuel",
booktitle = "Actes de la 10{\`e}me conf{\'e}rence sur le Traitement Automatique des Langues Naturelles. Posters",
month = jun,
year = "2003",
address = "Batz-sur-Mer, France",
publisher = "ATALA",
url = "https://aclanthology.org/2003.jeptalnrecital-poster.1",
pages = "297--302",
abstract = "The goal of Question-Answering (QA) systems is to find short and factual answers to opendomain questions by searching a large collection of documents. The subject of this research is to formulate complete and natural answer-sentences to questions, given the short answer. The answer-sentences are meant to be self-sufficient; that is, they should contain enough context to be understood without needing the original question. Generating such sentences is important in question-answering as they can be used to enhance existing QA systems to provide answers to the user in a more natural way and to provide a pattern to actually extract the answer from the document collection.",
}
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%0 Conference Proceedings
%T Generation of natural responses through syntactic patterns
%A B. Anaya, Glenda
%A Kosseim, Leila
%Y Daille, Béatrice
%Y Morin, Emmanuel
%S Actes de la 10ème conférence sur le Traitement Automatique des Langues Naturelles. Posters
%D 2003
%8 June
%I ATALA
%C Batz-sur-Mer, France
%F b-anaya-kosseim-2003-generation
%X The goal of Question-Answering (QA) systems is to find short and factual answers to opendomain questions by searching a large collection of documents. The subject of this research is to formulate complete and natural answer-sentences to questions, given the short answer. The answer-sentences are meant to be self-sufficient; that is, they should contain enough context to be understood without needing the original question. Generating such sentences is important in question-answering as they can be used to enhance existing QA systems to provide answers to the user in a more natural way and to provide a pattern to actually extract the answer from the document collection.
%U https://aclanthology.org/2003.jeptalnrecital-poster.1
%P 297-302
Markdown (Informal)
[Generation of natural responses through syntactic patterns](https://aclanthology.org/2003.jeptalnrecital-poster.1) (B. Anaya & Kosseim, JEP/TALN/RECITAL 2003)
ACL