65 search results - page 10 / 13 » Tuning as Ranking |
123
Voted
EMNLP
2011
14 years 13 days ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
112
Voted
SIGIR
2010
ACM
15 years 4 months ago
2010
ACM
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
106
Voted
WWW
2007
ACM
16 years 1 months ago
2007
ACM
Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets ar...
101
Voted
WWW
2004
ACM
16 years 1 months ago
2004
ACM
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
97
Voted
SIGIR
2008
ACM
15 years 18 days ago
2008
ACM
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...