Paraphrasing vs Coreferring: Two Sides of the Same Coin

Code

• github.com/yehudit96/coreferrability
  OfficialIn papernone★ 2
• github.com/yehudit96/event_entity_coref_ecb_plus
  OfficialIn paperpytorch★ 1

Abstract

We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphrases. The new scoring gained more than 18 points in average precision upon their ranking by the original scoring method. Then, we used the same re-ranking features as additional inputs to a state-of-the-art event coreference resolution model, which yielded modest but consistent improvements to the model's performance. The results suggest a promising direction to leverage data and models for each of the tasks to the benefit of the other.

Tasks

Reproductions