Attending to Long-Distance Document Context for Sequence Labeling

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Matthew J{\"o}rke, Jon Gillick, Matthew Sims, David Bamman

We present in this work a method for incorporating global context in long documents when making local decisions in sequence labeling problems like NER.

NER

Measuring Information Propagation in Literary Social Networks

3 code implementations • EMNLP 2020 • Matthew Sims, David Bamman

We present the task of modeling information propagation in literature, in which we seek to identify pieces of information passing from character A to character B to character C, only given a description of their activity in text.

Literary Event Detection

2 code implementations • ACL 2019 • Matthew Sims, Jong Ho Park, David Bamman

In this work we present a new dataset of literary events{---}events that are depicted as taking place within the imagined space of a novel.

Event Detection