A High Precision Information Retrieval Method for WiQA

This paper presents Wolverhampton University's participation in the WiQA competition. The method chosen for this task combines a high precision, but low recall information retrieval approach with a greedy sentence ranking algorithm. The high precision retrieval is ensured by querying the search engine with the exact topic, in this way obtaining only sentences which contain the topic. In one of the runs, the set of retrieved sentences is expanded using conferential relations between sentences. The greedy algorithm used for ranking selects one sentence at a time, always the one which adds most information to the set of sentences without repeating the existing information too much. The evaluation revealed that it achieves a performance similar to other systems participating in the competition and that the run which uses coreference obtains the highest MRR score among all the participants. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analy...

• Type: Conference
• Year: 2006
• Where: CLEF
• Authors: Constantin Orasan, Georgiana Puscasu
• Keywords: CLEF 2006, Information Management, Information Retrieval, Information Retrieval Approach, Sentence Ranking Algorithm