Papers by Wenjia Ma

2 papers
Interpretable Rationale Augmented Charge Prediction System (C18-2)

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Challenge: Existing studies treat charge prediction as a text classification problem, but in the field of justice, every decision may be a matter of life and death.
Approach: They propose to extract readable rationales from text and then create a rationale augmented classification model to enhance the prediction accuracy.
Outcome: The proposed system can extract readable rationales in a high consistency with manual annotation and is comparable with the attention model in prediction accuracy.
CRST: a Claim Retrieval System in Twitter (C18-2)

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Challenge: CRST retrieves tweets containing arguments for controversial topics from Twitter.
Approach: They propose a system that retrieves tweets containing claims for a given topic from Twitter.
Outcome: The proposed system outperforms existing claims retrieval and argument mining systems.

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