Work

Benchmark for Complex Answer Retrieval

Year: 2017

Type: preprint

Abstract: Retrieving paragraphs to populate a Wikipedia article is a challenging task. The new TREC Complex Answer Retrieval (TREC CAR) track introduces a comprehensive dataset that targets this retrieval scenario. We present early results from a variety of approaches -- from standard information retrieval methods (e.g., tf-idf) to complex systems that using query expansion using knowledge bases and deep neural networks. The goal is to offer future participants of this track an overview of some promising approaches to tackle this problem.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1705.04803

Authors: Nanni, Federico, Mitra, Bhaskar, Magnusson, Matt, Dietz, Laura

Institutions: University of Mannheim, University College London, University of New Hampshire

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2950757134

Cites: 17

Cited by: 11

Related to: 10