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20192026
most citedCoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

43 citations · 83 across the 40 of their papers we have counts for

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Showing 2021 · cs.CLShow all

6 papers · 2 filters

cs.CL2021

Improving Multi-Party Dialogue Discourse Parsing via Domain Integration

Zhengyuan Liu, Nancy F. Chen

While multi-party conversations are often less structured than monologues and documents, they are implicitly organized by semantic level correlations across the interactive turns,…

cs.CL2021

DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing

Zhengyuan Liu, Ke Shi, Nancy F. Chen

Text discourse parsing weighs importantly in understanding information flow and argumentative structure in natural language, making it beneficial for downstream tasks. While previo…

cs.CL2021

Controllable Neural Dialogue Summarization with Personal Named Entity Planning

Zhengyuan Liu, Nancy F. Chen

In this paper, we propose a controllable neural generation framework that can flexibly guide dialogue summarization with personal named entity planning. The conditional sequences a…

cs.CL2021★ 2 cited

Dynamic Sliding Window for Meeting Summarization

Zhengyuan Liu, Nancy F. Chen

Recently abstractive spoken language summarization raises emerging research interest, and neural sequence-to-sequence approaches have brought significant performance improvement. H…

cs.CL2021

Coreference-Aware Dialogue Summarization

Zhengyuan Liu, Ke Shi, Nancy F. Chen

Summarizing conversations via neural approaches has been gaining research traction lately, yet it is still challenging to obtain practical solutions. Examples of such challenges in…

cs.CL2021

N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking

Taha Aksu, Zhengyuan Liu, Min-Yen Kan +1

Augmentation of task-oriented dialogues has followed standard methods used for plain-text such as back-translation, word-level manipulation, and paraphrasing despite its richly ann…