TACL 2017 paper, by Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih.

Most relation extraction work focuses on binary relations, like (Seattle, located in, Washington), because extracting n-ary relations is difficult.  Nanyun (Violet) and her colleagues came up with a model to extract n-ary relations, focusing on drug-mutation-gene interactions, using graph LSTMs (a construct pretty similar to graph CNNs, which was developed around the same time).  Nanyun comes on the podcast to tell us about her work.

https://www.semanticscholar.org/paper/Cross-Sentence-N-ary-Relation-Extraction-with-Grap-Peng-Poon/03a2f871cc841e8047ab3291806dc301c5144bec

41 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs, with Nanyun (Violet) Peng

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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.

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41 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs, with Nanyun (Violet) Peng

NLP Highlights