Papers by Andre He

2 papers
Neural Unsupervised Reconstruction of Protolanguage Word Forms (2023.acl-long)

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Challenge: Existing methods for reconstructing ancient word forms use expectation-maximization . past work has used this method to predict simple phonological changes .
Approach: They extend expectation-maximization to predict phonological changes between ancient word forms and their cognates in modern languages.
Outcome: The proposed model reduces edit distance from the target word forms compared to previous methods.
Understanding Game-Playing Agents with Natural Language Annotations (2022.acl-short)

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Challenge: a new dataset contains 10K human-annotated Go games.
Approach: They propose to use natural language annotations to predict game terms from Go models . they use linear probing to predict domain-specific terms from the model's intermediate state representations .
Outcome: The proposed model can predict domain-specific terms from human-annotated Go games . the proposed model is based on a dataset containing 10K human-rannotated games based in the game .

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