UMass at TREC 2003: HARD and QA
Nasreen AbdulJaleel, Andrés Corrada-Emmanuel, Qi Li, Xiaoyong Liu, Courtney Wade, James W Allan · 2003
In the HARD track, we developed document metadata to correspond to query metadata requirements; implemented clarification forms based on query expansion, passage retrieval, and clustering; and retrieved variable length passages deemed most likely to be relevant. This work is discussed at length in Section 1. In the QA track, we focused on retrieving passages that were likely to contain the answer to the question. 1 HARD track 1.1 Overview The goal of the High Accuracy Retrieval from Documents track was to explore techniques for improving the accuracy of the top-ranked documents in response to a query. We participated in all three aspects of the problem: We mapped query metadata values to document metadata values that we assigned. We then adjusted the ranking of documents depending on whether their metadata matched the query metadata. We generated clarification forms to tease more information out of the searcher. We tried several types of clarification forms, including providing a list of keywords that might appear in relevant documents, a list of top-ranking clusters that might contain relevant documents, and a list of passages that might appear in relevant documents. We explored passage-level retrieval of documents to see if we could pinpoint the relevant portions of documents. In the final analysis, all runs using metadata or clarification forms failed to outperform our best baseline run. We interpret