Evaluation of Query Formulations in the Negotiated Query Refinement Process of Legal e-Discovery: UMKC at TREC 2007 Legal Track.
Feng Zhao, Yugyung Lee, Deep Medhi · 2007
Abstract—UMKC participated in the 2007 legal track. Our experiments focused mainly on evaluating the different query formulations in the negotiated query refinement process of legal e-discovery. For our study, we considered three sets of paired runs in vector space model and language model respectively. Our experiments indicated that although the Boolean query negotiating process was successful for the standard Boolean retrieval model, it did not make statistically significant query improvements in our ranked systems. This result provided us an insight into the query negotiation process and a new direction to refine queries. I.