Paraphrasing vs Coreferring: Two Sides of the Same Coin

04/30/2020
by   Yehudit Meged, et al.
0

We study the potential synergy between two different NLP tasks, both confronting 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/22/2017

Supervised Ranking of Triples for Type-Like Relations - The Cress Triple Scorer at the WSDM Cup 2017

This paper describes our participation in the Triple Scoring task of WSD...
research
05/25/2022

Improve Event Extraction via Self-Training with Gradient Guidance

Data scarcity and imbalance have been the main factors that hinder the p...
research
03/18/2022

Event Coreference Resolution for Contentious Politics Events

We propose a dataset for event coreference resolution, which is based on...
research
11/06/2017

TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution

In this paper, we describe TAMU's system submitted to the TAC KBP 2017 e...
research
05/28/2019

DSReg: Using Distant Supervision as a Regularizer

In this paper, we aim at tackling a general issue in NLP tasks where som...
research
03/23/2023

Mordecai 3: A Neural Geoparser and Event Geocoder

Mordecai3 is a new end-to-end text geoparser and event geolocation syste...

Please sign up or login with your details

Forgot password? Click here to reset