CONJR: Conjunctive Sentence Splitter without Parsing

Abstract

In this paper, we observe and address the challenges of splitting conjunctive sentences around each group of conjuncts. Most existing methods rely on parsers to identify the conjuncts 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. In order to better solve the problems, we formulate coordination boundary detection as a sequence tagging task and propose a specialized model CONJR without using syntactic parsers. We introduce both semantic and syntactic features and a specially designed attention mechanism to capture the symmetry among the potential conjuncts. The experimental results on datasets from various domains demonstrate the effectiveness of our proposed methods.

Tasks

Reproductions