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Nanjiang Jiang

Nanjiang Jiang has 3 papers in our library, in 2019–2021, most of them on Evaluation & benchmarks, Reasoning, English; often with Marie-Catherine de Marneffe.

3 papers in our library · 2019–2021

OpenAlex · h-index 6 · 13 works · 957 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 2,286 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4977

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksEnglish · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Implicature · 1 work

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating BERT for natural language inference: A case study on the CommitmentBank (2019 · 72 citations)
    NLI benchmarks such as SNLI and MultiNLI were built by having annotators write hypotheses for given premises.
  2. Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment (2019 · 30 citations)
    The paper asks whether leading speaker-commitment (event factuality) systems can tell how strongly a speaker stands behind an embedded clause when the sentence is natural, varied text rather than tidy newswire.
  3. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics (2021 · 21 citations)
    The task is to predict, on a scale from −3 to +3, how factual an embedded event is. The authors fine-tune BERT on seven English datasets, among them FactBank, MEANTIME, UW, UDS-IH2, CommitmentBank (CB), Ross and Pavlick (RP) and MegaVeridicality. BERT does well on most of them, and sets new results on FactBank and…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de MarneffeEnglish · 21 citations
  2. Ecologically Valid Explanations for Label Variation in NLIFindings of the Association for Computational Linguistics: EMNLP 2023 · original ↗ · no summary yetNan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 19 citations
  3. Understanding and Predicting Human Label Variation in Natural Language Inference through ExplanationarXiv:2304.12443 · original ↗ · no summary yetNan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 8 citations

 Co-authors here

1 co-author 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 2,286 times (of the 141,840 papers whose bibliographies we read); 187 citing papers with a page here →.

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