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» Learning to Rank Answers on Large Online QA Collections
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INTERSPEECH
2010
12 years 12 months ago
Using dependency parsing and machine learning for factoid question answering on spoken documents
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
Pere Comas, Jordi Turmo, Lluís Màrqu...
CLEF
2005
Springer
13 years 10 months ago
20th Century Esfinge (Sphinx) Solving the Riddles at CLEF 2005
Abstract. Esfinge is a general domain Portuguese question answering system. It tries to apply simple techniques to large amounts of text. Esfinge participated last year in the mono...
Luís Costa
SIGIR
2009
ACM
13 years 11 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
LREC
2010
149views Education» more  LREC 2010»
13 years 6 months ago
Paragraph Acquisition and Selection for List Question Using Amazon's Mechanical Turk
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
Fang Xu, Dietrich Klakow
NAACL
2003
13 years 6 months ago
Evaluating the Evaluation: A Case Study Using the TREC 2002 Question Answering Track
Evaluating competing technologies on a common problem set is a powerful way to improve the state of the art and hasten technology transfer. Yet poorly designed evaluations can was...
Ellen M. Voorhees