FDUQA on TREC2003 QA task

FDUQA on TREC 2007 QA Track

FDUQA on TREC 2005 QA Track

In this year’s QA Track, we participant in the main and document ranking task and do not take part in the relation task. We put the most effort in factoid and definition questions, and very little on list questions and document ranking task. For factoid questions, we use three QA systems: system 1, system 2 and system 3. System 1 is very similar to our last year’s system [Wu et al, 2004] except...

FDUQA on TREC 2006 QA Track

In this year’s QA Track, we participant in the main task and do not take part in the ciQA task. The main task is essentially the same as the single task from 2004, in that the test set consists of a set of question series where each series asks for information regarding a particular target. In order to better answer the questions in the series, we try to improve our anaphora resolution within q...

TREC 2003 Robust, HARD and QA Track Experiments using PIRCS

We participated in the Robust, HARD and part of the QA tracks in TREC2003. For Robust track, a new way of doing ad-hoc retrieval based on web assistance was introduced. For HARD track, we followed the guideline to generate clarification forms for each topic so as to experiment with user feedback and metadata. In QA, we only did the factoid experiment. The approach to QA was similar to what we h...

Identifying Definitions in Text Collections for Question Answering

One particular type of question which was made the focus of its own subtask within the TREC2003 QA track was the definition question (“What is X?” or “Who is X?”). One of the main problems with this type of question is how to discriminate in vast text collections between definitional and non-definitional text passages about a particular definiendum (i.e., the term to be defined). A method will ...