37 search results - page 2 / 8 » Learning to rank for why-question answering |
ECIR
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
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 ...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
EMNLP
2009
13 years 5 months ago
2009
There have been increasing needs for task specific rankings in web search such as rankings for specific query segments like long queries, time-sensitive queries, navigational quer...
ACL
2008
13 years 9 months ago
2008