Papers by Keyu Ding

3 papers
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging (D18-1)

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Challenge: Existing POS tagging methods for Twitter use labeled newswire text . however, Twitter users tend to mimic formal media expressions and develop linguistically informal styles.
Approach: They propose to use newswire text to learn POS tagging for Twitter while twitter users are developing linguistically informal styles.
Outcome: The proposed method achieves better performance than state-of-the-art methods on three different datasets.
Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders (2026.acl-long)

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Challenge: Effective medical text retrieval requires high accuracy and low latency.
Approach: They propose a benchmark for medical text retrieval in Chinese using a symmetric architecture . CARE is a lightweight encoder with an LLM-based encoder for offline document encoding .
Outcome: The proposed benchmark surpasses state-of-the-art symmetric models on CMedTEB . it matches high retrieval quality without increasing latency, and it performs well on a single GPU .
Generative Input: Towards Next-Generation Input Methods Paradigm (2024.findings-acl)

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Challenge: generative models have been used for various NLP tasks but their application in the field of input methods remains under-explored.
Approach: They propose a novel Generative Input paradigm that uses prompts to handle all input scenarios and other intelligent auxiliary input functions, optimizing the model with user feedback.
Outcome: The proposed paradigm achieves state-of-the-art in the Full-mode Key-sequence to Characters task and surpasses GPT-4 in the other input methods.

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