Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
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 ...
Abstract. The original purpose of Web metadata was to protect endusers from possible harmful content and to simplify search and retrieval. However they can also be exploited in mor...
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...