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Ziyi Ni

4 papers hereh-index 537 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • eess.AS1
same name
  • Ziyi Ni — 6 papers, h 4
  • Ziyi Ni — 2 papers, h 2
  • Ziyi Ni — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 5 cited

A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction

Zefa Hu, Ziyi Ni, Jing Shi +2

This paper focuses on term-status pair extraction from medical dialogues (MD-TSPE), which is essential in diagnosis dialogue systems and the automatic scribe of electronic medical…

cs.AI2023

Mixture of personality improved Spiking actor network for efficient multi-agent cooperation

Xiyun Li, Ziyi Ni, Jingqing Ruan +4

Adaptive human-agent and agent-agent cooperation are becoming more and more critical in the research area of multi-agent reinforcement learning (MARL), where remarked progress has…

eess.AS2023

VILAS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition

Ziyi Ni, Minglun Han, Feilong Chen +4

Enhancing automatic speech recognition (ASR) performance by leveraging additional multimodal information has shown promising results in previous studies. However, most of these wor…

cs.CL2023

Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding

Zefa Hu, Xiuyi Chen, Haoran Wu +5

Medical Slot Filling (MSF) task aims to convert medical queries into structured information, playing an essential role in diagnosis dialogue systems. However, the lack of sufficien…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.