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» Answer Formulation for Question-Answering
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SIGIR
2006
ACM
15 years 9 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
134
Voted
IR
2006
15 years 3 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
206
Voted
IR
2011
14 years 10 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
152
Voted
CIKM
2011
Springer
14 years 3 months ago
Fact-based question decomposition for candidate answer re-ranking
Factoid questions often contain one or more assertions (facts) about their answers. However, existing question-answering (QA) systems have not investigated how the multiple facts ...
Aditya Kalyanpur, Siddharth Patwardhan, Branimir B...
151
Voted
KRDB
2003
111views Database» more  KRDB 2003»
15 years 4 months ago
A Framework for Answering Queries using Multiple Representation and Inference Techniques
The Polylog framework is designed to provide a language for efficiently automating complex queries of information represented in multiple formats. A Polylog program contains a set...
Nicholas L. Cassimatis