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» Question Answering Performance on Table Data
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DGO
2004
110views Education» more  DGO 2004»
13 years 6 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto
DEXAW
2007
IEEE
138views Database» more  DEXAW 2007»
13 years 11 months ago
Machine Learning for Question Answering from Tabular Data
Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
SIGIR
2003
ACM
13 years 10 months ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
EMNLP
2004
13 years 6 months ago
Instance-Based Question Answering: A Data-Driven Approach
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
Lucian Vlad Lita, Jaime G. Carbonell
GIR
2006
ACM
13 years 11 months ago
Range-capable Distributed Hash Tables
In this paper, we present a novel indexing data structure called RDHT (Range capable Distributed Hash Table) derived from skip lists and specifically designed for storing and retr...
Alessandro Soro, Cristian Lai