Benchmark for Complex Answer Retrieval

Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz
2017 Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17  
Providing answers to complex information needs is a challenging task. e new TREC Complex Answer Retrieval (TREC CAR) track introduces a large-scale dataset where paragraphs are to be retrieved in response to outlines of Wikipedia articles representing complex information needs. We present early results from a variety of approaches -from standard information retrieval methods (e.g., TF-IDF) to complex systems that adopt query expansion, knowledge bases and deep neural networks. e goal is to o er
more » ... . e goal is to o er an overview of some promising approaches to tackle this problem.
doi:10.1145/3121050.3121099 dblp:conf/ictir/NanniMMD17 fatcat:wtkbphutorcmvnhdz7mvtce6vq