Discriminative Information Retrieval for Knowledge Discovery
Information Retrieval
2016-10-07 v1
Abstract
We propose a framework for discriminative Information Retrieval (IR) atop linguistic features, trained to improve the recall of tasks such as answer candidate passage retrieval, the initial step in text-based Question Answering (QA). We formalize this as an instance of linear feature-based IR (Metzler and Croft, 2007), illustrating how a variety of knowledge discovery tasks are captured under this approach, leading to a 44% improvement in recall for candidate triage for QA.
Cite
@article{arxiv.1610.01901,
title = {Discriminative Information Retrieval for Knowledge Discovery},
author = {Tongfei Chen and Benjamin Van Durme},
journal= {arXiv preprint arXiv:1610.01901},
year = {2016}
}