The TREC Question Answering Track presented several distinct challenges to participants in 2007. Participants were asked to create a system which discovers the answers to factoid ...
The TREC 2007 question answering (QA) track contained two tasks: the main task consisting of series of factoid, list, and “Other” questions organized around a set of targets, ...
Every day, people widely use information retrieval (IR) systems to answer their questions. We utilized the TREC 2007 complex, interactive question answering (ciQA) track to measur...
A Question Answering (QA) system aims to return exact answers to natural language questions. While today information retrieval techniques are quite successful at locating within l...
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was...
Anne Diekema, Xiaoyong Liu, Jiangping Chen, Hudong...
The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
This paper reports our efforts on developing a language modeling approach to passage question answering. In particular, we address the following two problems: (i) generalized lang...
This paper describes a question answering system and its various modules to solve definition, factoid and list questions defined in the TREC12 Main task. In particular, we tackle ...
Hui Yang, Hang Cui, Mstislav Maslennikov, Long Qiu...
In this our first participation in TREC we have focused on the passage task of the question answering track. The main aim of our participation was to test the impact of various t...
Research on Question Answering has produced an arsenal of useful techniques for detecting answers that are explicitly present in the text of a collection of documents. To move bey...
Reinhard Stolle, Daniel G. Bobrow, Cleo Condoravdi...