---
title: "Fang Kong — papers"
description: "Fang Kong: 12 papers in the Elamur Research library (2008–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/fang-kong/"
---
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# Fang Kong

12 papers on this site (2008–2023)

[OpenAlex](https://openalex.org/A5102803936) · [ORCID](https://orcid.org/0000-0002-7102-0143) · h-index 16 · 108 works · 784 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition](https://md.research.elamur.ai/free/en/papers/fan-2023-improving-dialogue-discourse-parsing-reply/) — Yaxin Fan, Feng Jiang, Peifeng Li, et al. · 2023
- [A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing](https://md.research.elamur.ai/free/en/papers/fan-2022-distance-aware-multi-task-framework/) — Yaxin Fan, Peifeng Li, Fang Kong, et al. · 2022
- [Adversarial Learning for Discourse Rhetorical Structure Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/) — Longyin Zhang, Fang Kong, Guodong Zhou · 2021
- [A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/) — Longyin Zhang, Yuqing Xing, Fang Kong, et al. · 2020
- [Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese](https://md.research.elamur.ai/free/en/papers/xu-2019-topic-tensor-network-implicit-discourse/) — Sheng Xu, Peifeng Li, Fang Kong, et al. · 2019
- [A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kong-2014-constituent-based-approach-argument-labeling/) — Fang Kong, Hwee Tou Ng, Guodong Zhou · 2014
- [Exploiting Zero Pronouns to Improve Chinese Coreference Resolution](https://md.research.elamur.ai/free/en/papers/kong-2013-exploiting-zero-pronouns-improve-chinese/) — Fang Kong, Hwee Tou Ng · 2013
- [A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/kong-2010-tree-kernel-based-unified-framework/) — Fang Kong, Guodong Zhou · 2010
- [Dependency-driven Anaphoricity Determination for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/kong-2010-dependency-driven-anaphoricity-determination-coreference/) — Fang Kong, Guodong Zhou, Longhua Qian, et al. · 2010
- [Employing the Centering Theory in Pronoun Resolution from the Semantic Perspective](https://md.research.elamur.ai/free/en/papers/kong-2009-employing-centering-theory-pronoun-resolution/) — Fang Kong, GuoDong Zhou, Qiaoming Zhu · 2009
- [Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation](https://md.research.elamur.ai/free/en/papers/zhou-2009-global-learning-noun-phrase-anaphoricity/) — GuoDong Zhou, Fang Kong · 2009
- [Context-Sensitive Convolution Tree Kernel for Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/zhou-2008-context-sensitive-convolution-tree-kernel/) — GuoDong Zhou, Fang Kong, QiaoMing Zhu · 2008
