Offering Answers for Claim-Based Queries: A New Challenge for Digital Libraries

TitleOffering Answers for Claim-Based Queries: A New Challenge for Digital Libraries
Publication TypeConference Paper
Year of Publication2017
AuthorsPinto, J. M. G., and W. - T. Balke
Conference Name19th International Conference on Asia-Pacific Digital Libraries (ICADL)
Conference LocationBangkok, Thailand
Abstract

This paper introduces the novel problem of ‘claim-based queries’ and how digital libraries can be enabled to solve it. Claim-based queries need the identification of a key aspect of research papers: claims. Today, claims are hidden in its unstructured, free text representation within research documents. In this work, a claim is a sentence that constitutes the main contribution of a paper and expresses an association between entities of particular interest in a given domain. In the following, we investigate how to identify claims for subsequent extraction in an unsupervised fashion by a novel integration of neural word embedding representations of claims with a graph based algorithm. For evaluation purposes, we focus on the medical domain: all experiments are based on a real-world corpus from PubMed, where both, limitations and success of our solution can realistically be assessed.

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