Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
This paper describes the participation of Columbus Project of Microsoft Research Asia (MSRA) in the GeoCLEF 2006 (a cross-language geographical retrieval track which is part of Cr...
Zhisheng Li, Chong Wang 0002, Xing Xie, Xufa Wang,...
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
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...