This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Among the retrieval models that have been proposed in the last years, the ESA model of Gabrilovich and Markovitch received much attention. The authors report on a significant imp...
There has been a lot of work on evaluating and improving the relevance of web search engines. In this paper, we suggest using human computation games to elicit data from players t...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as classification and learning methods for classific...
We study the recurrence dynamics of queries in Web search by analysing a large real-world query log dataset. We find that query frequency is more useful in predicting collective ...