ACL 2018 paper by Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan

Amrita and colleagues at IBM Research introduced a harder dataset for "reading comprehension", where you have to answer questions about a given passage of text.  Amrita joins us on the podcast to talk about why a new dataset is necessary, what makes this one unique and interesting, and how well initial baseline systems perform on it.  Along the way, we talk about the problems with using BLEU or ROUGE as evaluation metrics for question answering systems.

https://www.semanticscholar.org/paper/DuoRC%3A-Towards-Complex-Language-Understanding-with-Saha-Aralikatte/1e70a4830840d48486ecfbc6c89b774cdd0b6399

71 - DuoRC: Complex Language Understanding with Paraphrased Reading Comprehension, with Amrita Saha

**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.**

Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

71 - DuoRC: Complex Language Understanding with Paraphrased Reading Comprehension, with Amrita Saha

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