37 search results - page 1 / 8 » Learning to rank for why-question answering |
IR
2011
12 years 11 months ago
2011
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...
CIKM
2011
Springer
12 years 4 months ago
2011
Springer
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
SEKE
2007
Springer
13 years 11 months ago
2007
Springer
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
ACL
2009
13 years 2 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...