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Natural Language Engineering 2023 — papers

The works of Natural Language Engineering published in 2023 that our library holds (publisher: Cambridge University Press): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Emojis as anchors to detect Arabic offensive language and hate speechHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury56 citations · our summary
  2. How to do human evaluation: A brief introduction to user studies in NLP ↗Hendrik Schuff, Lindsey Vanderlyn, Heike Adel et al.29 citations
  3. A comparison of latent semantic analysis and correspondence analysis of document-term matrices ↗Qianqian Qi, David J. Hessen, Tejaswini Deoskar et al.20 citations
  4. OffensEval 2023: Offensive language identification in the age of Large Language Models ↗Marcos Zampieri, Sara Rosenthal, Preslav Nakov et al.20 citations
  5. Morphosyntactic probing of multilingual BERT modelsJudit Ács, Endre Hamerlik, Roy Schwartz et al.12 citations · our summary
  6. Abstractive summarization with deep reinforcement learning using semantic similarity rewards ↗Figen Beken Fikri, Kemal Oflazer, Berrin A. Yanikoglu10 citations

All works of the year (50)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. Emojis as anchors to detect Arabic offensive language and hate speechHamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury56 citations · our summary
  2. How to do human evaluation: A brief introduction to user studies in NLP ↗Hendrik Schuff, Lindsey Vanderlyn, Heike Adel et al.29 citations
  3. A comparison of latent semantic analysis and correspondence analysis of document-term matrices ↗Qianqian Qi, David J. Hessen, Tejaswini Deoskar et al.20 citations
  4. OffensEval 2023: Offensive language identification in the age of Large Language Models ↗Marcos Zampieri, Sara Rosenthal, Preslav Nakov et al.20 citations
  5. Morphosyntactic probing of multilingual BERT modelsJudit Ács, Endre Hamerlik, Roy Schwartz et al.12 citations · our summary
  6. Abstractive summarization with deep reinforcement learning using semantic similarity rewards ↗Figen Beken Fikri, Kemal Oflazer, Berrin A. Yanikoglu10 citations
  7. An unsupervised perplexity-based method for boilerplate removal ↗Marcos Fernández-Pichel, Manuel Prada-Corral, David E. Losada et al.10 citations
  8. Emerging trends: Smooth-talking machines ↗Kenneth Church, Richard Yue9 citations
  9. Argumentation models and their use in corpus annotation: Practice, prospects, and challenges ↗Henrique Lopes Cardoso, Rui Sousa‐Silva, Paula Carvalho et al.8 citations
  10. Focusing on potential named entities during active label acquisition ↗Ali Osman Berk Şapcı, Hasan Kemik, Reyyan Yeniterzi et al.7 citations
  11. Korean named entity recognition based on language-specific features ↗Yige Chen, KyungTae Lim, Jungyeul Park6 citations

See all 50 papers in Natural Language Engineering 2023 — papers →

 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. Morphosyntactic probing of multilingual BERT modelsNatural Language EngineeringJudit Acs, Endre Hamerlik, Roy Schwartz, et al.2023 · 26 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Multilingual & cross-lingual NLP (1)Morphology (1)Interpretability (1)

 Fields

Arts and Humanities (1)Computer Science (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

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