Fujitsu AI-NLP Challenge

Deadline: 2018-05-31
Award: $20,000
Open to: 18+ where allowable by law**

Fujitsu is calling for entries to strengthen its FAQ search – we are challenging you to develop novel and strong natural language processing technologies to complement its original technology in Zinrai FAQ search.

Your goal is to develop a QA algorithm based on the selection-based question answering dataset, SelQA [3]. The dataset introduces a corpus annotation scheme that enhances the generation of large, diverse, and challenging datasets by explicitly aiming to reduce word co-occurrences between the question and answers. The accompanying paper [3] compares several systems on the tasks related to answer sentence selection (ASS) and answer triggering (AT), providing strong baseline results for this challenge.