Adapting Language Modeling Methods for Expert Search to Rank Wikipedia Entities

Adapting Language Modeling Methods for Expert Search to Rank Wikipedia Entities - scientific work related to Wikipedia quality published in 2009, written by Jiepu Jiang, Wei Lu, Xianqian Rong and Yangyan Gao.

Overview

In this paper, authors propose two methods to adapt language modeling methods for expert search to the INEX entity ranking task. In experiments, authors notice that language modeling methods for expert search, if directly applied to the INEX entity ranking task, cannot effectively distinguish entity types. Thus, proposed methods aim at resolving this problem. First, authors propose a method to take into account the INEX category query field. Second, authors use an interpolation of two language models to rank entities, which can solely work on the text query. Authors experiments indicate that both methods can effectively adapt language modeling methods for expert search to the INEX entity ranking task.