Providing answers to complex information needs is a challenging task. The 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. The goal is to offer an overview of some promising approaches to tackle this problem.
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