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Feng Ji

Feng Ji has 2 papers in our library, in 2010–2021, most of them on Reasoning; often with Ji Zhang, Qianglong Chen, Xipeng Qiu.

2 papers in our library · 2010–2021

OpenAlex · ORCID · h-index 14 · 120 works · 792 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #5512

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Nanyang Technological UniversitySingapore · Singapore2016–2026 · 39 paperscurrent🎓China University of Mining and TechnologyXuzhou · China2008–2025 · 10 papers🎓Xidian UniversityXi'an · China2009–2012 · 7 papers🏢Alibaba GroupHangzhou · China2019–2021 · 5 papers🎓Zhejiang UniversityHangzhou · China2003–2021 · 5 papers🎓The University of Texas at ArlingtonArlington · United States2005–2008 · 5 papers🎓Fudan UniversityShanghai · China2010–2020 · 4 papers🏢Alibaba DAMO AcademyHangzhou · China2019–2021 · 2 papers🏢Alibaba GroupGeorge Town · Cayman Islands2019–2020 · 2 papers🎓Harbin Institute of TechnologyHarbin · China2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20211 paperKACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference

2010s

20101 paperDetecting Hedge Cues and their Scopes with Average Perceptron

 Papers

The most cited first (OpenAlex and our library).

  1. KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference (2021 · 28 citations)
    Most explanation generators in NLP only justify the chosen label ("why A"). This paper argues that contrastive explanations ("why A and not B") are more useful, both for users and for the model. KACE is a post-hoc framework for natural language inference built from three stages:
  2. Detecting Hedge Cues and their Scopes with Average Perceptron (2010 · 7 citations)
    The paper describes a Fudan University system for the closed track of the CoNLL-2010 Shared Task on hedging, meaning language that marks a claim as speculative rather than established.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 14 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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