CoRec: An Easy Approach for Coordination Recognition

Qing Wang, Haojie Jia, Wenfei Song, Qi Li

Submission Type: Regular Short Paper

Submission Track: Syntax, Parsing and their Applications

Keywords: coordination recognition, shallow parsing

TL;DR: A pipeline model designed for coordination recognition task without using syntactic parsers.

Abstract: In this paper, we observe and address the challenges of the coordination recognition task. Most existing methods rely on syntactic parsers to identify the coordinators in a sentence and detect the coordination boundaries. However, state-of-the-art syntactic parsers are slow and suffer from errors, especially for long and complicated sentences. To better solve the problems, we propose a pipeline model COordination RECognizer (CoRec). It consists of two components: coordinator identifier and conjunct boundary detector. The experimental results on datasets from various domains demonstrate the effectiveness and efficiency of the proposed method. Further experiments show that CoRec positively impacts downstream tasks, improving the yield of state-of-the-art Open IE models.

Submission Number: 3392