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[D] State of the art on Neural Commentary generation based on Game Data? GPT-2?

Consider the following move and commentary dataset for a chess game –

1,e4,e5,Both players have moved their pawns to oppose each other 2,Nf3,d6,White has moved his Knight while Black moved a pawn one square 3,d4,Bg4,White moved a pawn two squares while Black moved his Bishop 4 squares. 

Full example here – https://www.family-games-treasurehouse.com/sample_chess_game.html

If I can create such a dataset, what is the state of the art I can use to train a commentary generation model? GPT-2 might be a starting point but it gives me no control over entities, actions.

Curious if us humans have any ideas to go about this.

submitted by /u/fratkabula
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.