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You are here: Home kb Information & Knowledge Technologies Answer Extraction

Answer Extraction

Structures to Roadmap Research in Question & Answering (Q&A).
J. Burger and C. Cardie and V. Chaudhri and R. Gaizauskas and S.Harabagiu amd D. Israel and C. Jacquemin and C. Lin and S. Maiorano and G. Miller and D. Moldovan and B. Ogden and J. Prager and E. Riloff and A. Singhal and R. Shrihari and T. Strzalkowski and E. Voorhees and R. Weischedel.
NIST DUC Vision and Roadmap Documents. 2001.

Answering complex, list and context questions with LCC's Question-Answering Server.
Sanda Harabagiu, Dan Moldovan, Marius Pasca, Mihai Surdeanu, Rada Mihalcea, Roxana Girju, Vasile Rus, Finley Lacatusu, Paul Morarescu and Razvan Bunescu. Text Retrieval Conference (TREC-10). Gaithersburg, Maryland. 2001.

Experiments with Open-Domain Textual Question Answering.
Sanda Harabagiu and Marius Pasca and Steven Maiorano.
18th International Conference on Computational Linguistics (COLING-2000). Saarbrücken, Germany. 2000. 292--298.

FALCON: Boosting Knowledge for Answer Engines.
Sanda Harabagiu and Dan Moldovan and Marius Pasca and Rada Mihalcea and Mihai Surdeanu and Razvan Bunescu and Roxana Girju, Vasile Rus and Paul Morarescu.
Text Retrieval Conference (TREC-9). Gaithersburg, Maryland 2000. 479--489.

Answer extraction (AE) aims at retrieving those exact passages of a document that directly answer a given user question. AE is more ambitious than information retrieval and information extraction in that the retrieval results are short phrases, not entire documents, and in that the queries may be arbitrarily specific. It is less ambitious than full-fledged question answering in that the answers are not generated from a knowledge base but looked up in the text of documents.


Textual Question Answering; Question Answering;