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SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
WWW
2006
ACM
14 years 9 months ago
Discovering event evolution graphs from newswires
In this paper, we propose an approach to automatically mine event evolution graphs from newswires on the Web. Event evolution graph is a directed graph in which the vertices and e...
Christopher C. Yang, Xiaodong Shi
ERCIMDL
2010
Springer
163views Education» more  ERCIMDL 2010»
13 years 9 months ago
Determining Time of Queries for Re-ranking Search Results
Abstract. Recent work on analyzing query logs shows that a significant fraction of queries are temporal, i.e., relevancy is dependent on time, and temporal queries play an importan...
Nattiya Kanhabua, Kjetil Nørvåg
SIGIR
2006
ACM
14 years 2 months ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
WEBI
2009
Springer
14 years 3 months ago
Social Semantics and Its Evaluation by Means of Semantic Relatedness and Open Topic Models
—This paper presents an approach using social semantics for the task of topic labelling by means of Open Topic Models. Our approach utilizes a social ontology to create an alignm...
Ulli Waltinger, Alexander Mehler