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20172026
most citedPath-Based Attention Neural Model for Fine-Grained Entity Typing

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2026

Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization

Kushal Chawla, Chenyang Zhu, Pengshan Cai +9

Summarization of multi-party dialogues is a critical capability in industry, enhancing knowledge transfer and operational effectiveness across many domains. However, automatically…

cs.CL2023

PaniniQA: Enhancing Patient Education Through Interactive Question Answering

Pengshan Cai, Zonghai Yao, Fei Liu +9

Patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs). However, many patients have difficulty understand…

cs.CL2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

Pengshan Cai, Hui Wan, Fei Liu +3

We propose novel AI-empowered chat bots for learning as conversation where a user does not read a passage but gains information and knowledge through conversation with a teacher bo…

cs.CL2019

Generating Classical Chinese Poems from Vernacular Chinese

Zhichao Yang, Pengshan Cai, Yansong Feng +4

Classical Chinese poetry is a jewel in the treasure house of Chinese culture. Previous poem generation models only allow users to employ keywords to interfere the meaning of genera…

cs.CL2017★ 1 cited

Path-Based Attention Neural Model for Fine-Grained Entity Typing

Denghui Zhang, Pengshan Cai, Yantao Jia +3

Fine-grained entity typing aims to assign entity mentions in the free text with types arranged in a hierarchical structure. Traditional distant supervision based methods employ a s…