Papers by Yinyin Liu

2 papers
A Benchmark Dataset for Learning to Intervene in Online Hate Speech (D19-1)

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Challenge: Existing methods to detect online hate speech ignore conversational context . generative hate speech intervention is a novel approach to counter online hate .
Approach: They propose a task where generative hate speech intervention generates responses to intervene during online conversations that contain hate speech.
Outcome: The proposed method can detect and block hate speech and discourage it . it can also generate responses written by Mechanical Turk workers .
Few-Shot NLG with Pre-Trained Language Model (2020.acl-main)

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Challenge: Neural-based approaches to natural language generation are data-hungry and difficult to adopt in real-world applications.
Approach: They propose a task of few-shot natural language generation from structured data or knowledge to generate coherent sentences from input data and language modeling to compose coherent sentences.
Outcome: The proposed approach outperforms the strongest baseline approach by over 8.0 BLEU points improvement.

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