Papers by Chieh-Yang Chen

2 papers
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent (2020.emnlp-main)

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Challenge: Prior work uses hand-crafted scores to recommend sentences but has difficulty adopting such scores to all the near-synonyms as near-near-sonyms differ in various ways.
Approach: They propose an inference-based learner-like agent to mimic learner behavior and identify good learning materials by examining the agent's performance.
Outcome: The proposed agent achieves the best performance in fill-in-the-blank and good example sentence selection tasks.
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval (2020.findings-emnlp)

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Challenge: Existing neural task-oriented dialogue systems cannot be encoded by memory networks, such as memory networks.
Approach: They propose an end-to-end trainable text-to SQL guided framework to learn a neural agent that interacts with KBs using the generated SQL queries.
Outcome: The proposed method significantly improves on the AirDialogue dataset, which contains the conversations of customers booking flight tickets from the agent.

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