Graph-Based Answer Fusion in Multilingual Question Answering

One major problem in multilingual Question Answering (QA) is the combination of answers obtained from different languages into one single ranked list. This paper proposes a new method for tackling this problem. This method is founded on a graph-based ranking approach inspired in the popular Google’s PageRank algorithm. Experimental results demonstrate that the proposed method outperforms other current techniques for answer fusion, and also evidence the advantages of multilingual QA over the traditional monolingual approach.

• Type: Conference
• Year: 2007
• Where: TSD
• Authors: Rita M. Aceves-Pérez, Manuel Montes-y-Gómez, Luis Villaseñor Pineda
• Keywords: Google’s PageRank Algorithm, Graph-based Ranking Approach, Signal Processing, Single Ranked List, TSD 2007