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arXiv:1909.10413cs.CL

Automated Chess Commentator Powered by Neural Chess Engine

Hongyu Zang, Zhiwei Yu, Xiaojun Wan

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Abstract

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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The first two authors contributed equally to this paper
Journal reference
DOI
Subjects
cs.CLComputation and Language

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  1. Show HN: ChessCoach – A neural chess engine that comments on each player's moves 1 comment

    • This is a fantastic project. Thanks for sharing! I had a nice long conversation with two of the authors of [0] at ACL. One thing we discussed was the reverse problem. That is, as a player, could I give commands to the model and have the engine figure the moves that would best…

      mcycView on HNParent context

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