An Empirical Study of Building a Strong Baseline for Constituency Parsing

Code

• github.com/nttcslab-nlp/strong_s2s_baseline_parser
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Abstract

This paper investigates the construction of a strong baseline based on general purpose sequence-to-sequence models for constituency parsing. We incorporate several techniques that were mainly developed in natural language generation tasks, e.g., machine translation and summarization, and demonstrate that the sequence-to-sequence model achieves the current top-notch parsers' performance (almost) without requiring any explicit task-specific knowledge or architecture of constituent parsing.

Tasks

Reproductions