Extracting Drug-Drug Interactions with Character-Level and Dependency-Based Embeddings.
John Cardiff, Liliya Akhtyamova · Arrow - TU Dublin (Technological University Dublin) · 2018
The DDI track of TAC-2018 challenge addresses the problem of an information retrieval of drug-drug interactions on structured product labeling documents with discontinuous and overlapping entities. In this paper, we present our participation for event extraction subtask (Task 1). We used a supervised long-short-term memory (LSTM) network with conditional random fields decoding (LSTM-CRF) approach with an automatic exploring of words and characters features. Additional dependency-based information was integrated into word embeddings to allow better word representation. Our system performed with above median score.