[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.