41 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs, with Nanyun (Violet) Peng
TACL 2017 paper, by Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih.\n\nMost 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.\n\nhttps://www.semanticscholar.org/paper/Cross-Sentence-N-ary-Relation-Extraction-with-Grap-Peng-Poon/03a2f871cc841e8047ab3291806dc301c5144bec