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122 - Statutory Reasoning in Tax Law, with Nils Holzenberger
NLP Highlights
English - November 12, 2020 01:10 - 46 minutes - 42.3 MB - ★★★★★ - 22 ratingsScience Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: 121 - Language and the Brain, with Alona Fyshe
Next Episode: 123 - Robust NLP, with Robin Jia
We invited Nils Holzenberger, a PhD student at JHU to talk about a dataset involving statutory reasoning in tax law Holzenberger et al. released recently. This dataset includes difficult textual entailment and question answering problems that involve reasoning about how sections in tax law are applicable to specific cases. They also released a Prolog solver that fully solves the problems, and show that learned models using dense representations of text perform poorly. We discussed why this is the case, and how one can train models to solve these challenges.
Project webpage: https://nlp.jhu.edu/law/