PDF] Automated Chess Commentator Powered by Neural Chess Engine

A neural chess engine is introduced into text generation models to help with encoding boards, predicting moves, and analyzing situations by jointly training the neural Chess engine and the generation models for different categories, which become more effective. In this paper, we explore a new approach for automated chess commentary generation, which aims to generate chess commentary texts in different categories (e.g., description, comparison, planning, etc.). We introduce a neural chess engine into text generation models to help with encoding boards, predicting moves, and analyzing situations. By jointly training the neural chess engine and the generation models for different categories, the models become more effective. We conduct experiments on 5 categories in a benchmark Chess Commentary dataset and achieve inspiring results in both automatic and human evaluations.

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