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» Mining Causality from Texts for Question Answering System
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DGO
2003
139views Education» more  DGO 2003»
13 years 10 months ago
Better Public Policy Through Natural Language Information Access
Federal agencies implement laws passed by the Congress by creating rules and regulations that can be applied in practice. During this process, staffs at the various agencies may r...
Boris Katz, Roger Hurwitz, Jimmy J. Lin, Özle...
EMNLP
2008
13 years 10 months ago
Scaling Textual Inference to the Web
Most Web-based Q/A systems work by finding pages that contain an explicit answer to a question. These systems are helpless if the answer has to be inferred from multiple sentences...
Stefan Schoenmackers, Oren Etzioni, Daniel S. Weld
DL
2000
Springer
162views Digital Library» more  DL 2000»
14 years 29 days ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
NAACL
1994
13 years 10 months ago
Assessing the Retrieval Effectiveness of a Speech : Retrieval System by Simulating Recognition Errors
We show how the recognition performance of a speech recognition component in a speech retrieval system affects the retrieval effectiveness. A speech retrieval system facilitates c...
Peter Schäuble, Ulrike Glavitsch
IR
2010
13 years 5 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy