---
title: "Computational Linguistics 2023 — papers — Elamur Research"
description: "Computational Linguistics 2023 — papers: 6 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/cl/2023/"
---
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# Computational Linguistics 2023 — papers

The works of Computational Linguistics published in 2023 that our library holds (publisher: The MIT Press): 6 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**30** works that year](#all) · [**6** works in our library](https://md.research.elamur.ai/free/en/venues/cl/2023/#works) · [**3,211** citations of these works](https://md.research.elamur.ai/free/en/venues/cl/2023/#works)

## All works of the year (30)

The most cited first; 6 with our summary link to their page here, the others to the original.

1. **[Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future](https://md.research.elamur.ai/free/en/papers/klie-2023-annotation-error-detection-analyzing-past/)**Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych*our summary*
2. **[Capturing Fine-Grained Regional Differences in Language Use through Voting Precinct Embeddings ↗](https://aclanthology.org/2023.cl-4.4/)**Alex Rosenfeld, Lars Hinrichs
3. **[Certified Robustness to Text Adversarial Attacks by Randomized MASK ↗](https://aclanthology.org/2023.cl-2.5/)**Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng et al.
4. **[Comparing Selective Masking Methods for Depression Detection in Social Media ↗](https://aclanthology.org/2023.cl-3.1/)**Chanapa Pananookooln, Jakrapop Akaranee, Chaklam Silpasuwanchai
5. **[Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots by Michael McTear ↗](https://aclanthology.org/2023.cl-1.9/)**Olga Seminck
6. **[Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing ↗](https://aclanthology.org/2023.cl-3.3/)**Rochelle Choenni, Dan Garrette, Ekaterina Shutova
7. **[Curing the SICK and Other NLI Maladies ↗](https://aclanthology.org/2023.cl-1.5/)**Aikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb et al.
8. **[Data-driven Cross-lingual Syntax: An Agreement Study with Massively Multilingual Models ↗](https://aclanthology.org/2023.cl-2.1/)**Andrea Gregor de Varda, Marco Marelli
9. **[Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction ↗](https://aclanthology.org/2023.cl-1.1/)**Enrica Troiano, Laura Oberländer, Roman Klinger
10. **[Dimensions of Explanatory Value in NLP Models ↗](https://aclanthology.org/2023.cl-3.6/)**Kees van Deemter
11. **[Finite-State Text Processing ↗](https://aclanthology.org/2023.cl-1.6/)**Aniello De Santo
12. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation ↗](https://aclanthology.org/2023.cl-2.7/)**Marianna Apidianaki
13. **[Generation and Polynomial Parsing of Graph Languages with Non-Structural Reentrancies ↗](https://aclanthology.org/2023.cl-4.3/)**Johanna Björklund, Frank Drewes, Anna Jonsson
14. **[Gradual Modifications and Abrupt Replacements: Two Stochastic Lexical Ingredients of Language Evolution ↗](https://aclanthology.org/2023.cl-2.2/)**Michele Pasquini, Maurizio Serva, Davide Vergni
15. **[Grammatical Error Correction: A Survey of the State of the Art ↗](https://aclanthology.org/2023.cl-3.4/)**Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib et al.
16. **[It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers ↗](https://aclanthology.org/2023.cl-1.3/)**Zheng Tang, Mihai Surdeanu
17. **[Language Embeddings Sometimes Contain Typological Generalizations ↗](https://aclanthology.org/2023.cl-4.6/)**Robert Östling, Murathan Kurfalı
18. **[Languages Through the Looking Glass of BPE Compression ↗](https://aclanthology.org/2023.cl-4.5/)**Ximena Gutierrez-Vasques, Christian Bentz, Tanja Samardžić
19. **[Machine Learning for Ancient Languages: A Survey](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/)**Thea Sommerschield, Yannis Assael, John Pavlopoulos et al.*our summary*
20. **[Measuring Attribution in Natural Language Generation Models](https://md.research.elamur.ai/free/en/papers/rashkin-2023-measuring-attribution-natural-language-generation/)**Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm et al.*our summary*
21. **[My Tenure as the Editor-in-Chief of Computational Linguistics ↗](https://aclanthology.org/2023.cl-4.1/)**Hwee Tou Ng
22. **[Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model ↗](https://aclanthology.org/2023.cl-3.2/)**Chris van der Lee, Thiago Castro Ferreira, Chris Emmery et al.
23. **[Obituary: Yorick Wilks ↗](https://aclanthology.org/2023.cl-3.8/)**John Tait, Robert Gaizauskas, Kalina Bontcheva
24. **[Onception: Active Learning with Expert Advice for Real World Machine Translation ↗](https://aclanthology.org/2023.cl-2.3/)**Vânia Mendonça, Ricardo Rei, Luísa Coheur et al.
25. **[Pretrained Transformers for Text Ranking: BERT and Beyond ↗](https://aclanthology.org/2023.cl-1.8/)**Suzan Verberne

[See all 30 papers in Computational Linguistics 2023 — papers →](https://md.research.elamur.ai/free/en/venues/cl/2023/papers/)

## Works with our summary in our library (6)

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

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,074 citations*
2. **[Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Yue Zhang, Yafu Li, Leyang Cui, et al.*2023 · 966 citations*
3. **[Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 777 citations*
4. **[Measuring Attribution in Natural Language Generation Models](https://md.research.elamur.ai/free/en/papers/rashkin-2023-measuring-attribution-natural-language-generation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.*2023 · 198 citations*
5. **[Machine Learning for Ancient Languages: A Survey](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*
6. [**Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future**Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/klie-2023-annotation-error-detection-analyzing-past/)

## Top topics

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

[Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (6)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (6)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (2)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**Franck Dernoncourt**1 work here · 1,074 citations](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/) · [🧑‍🔬**Nesreen K. Ahmed**1 work here · 1,074 citations](https://md.research.elamur.ai/free/en/authors/nesreen-k-ahmed/) · [🧑‍🔬**Ryan A. Rossi**1 work here · 1,074 citations](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/) · [🧑‍🔬**Chen Xu**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/chen-xu/) · [🧑‍🔬**Deng Cai**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/deng-cai/) · [🧑‍🔬**Lemao Liu**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/lemao-liu/) · [🧑‍🔬**Leyang Cui**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/leyang-cui/) · [🧑‍🔬**Longyue Wang**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/longyue-wang/) · [🧑‍🔬**Xinting Huang**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/xinting-huang/) · [🧑‍🔬**Yafu Li**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/yafu-li/) · [🧑‍🔬**Yu Zhang**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/yu-zhang/) · [🧑‍🔬**Yue Zhang**1 work here · 966 citations](https://md.research.elamur.ai/free/en/authors/yue-zhang/)

## Top institutions

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

[🏢**Google DeepMind** London · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Stanford University** Stanford · United States 2 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Dartmouth College** Hanover · United States 1 work here](https://md.research.elamur.ai/free/en/universities/dartmouth-college/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Georgia Institute of Technology** Atlanta · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🏢**Intel** Santa Clara · United States 1 work here](https://md.research.elamur.ai/free/en/companies/intel/) · [🎓**Ca' Foscari University of Venice** Venice · Italy 1 work here](https://md.research.elamur.ai/free/en/universities/ca-foscari-university-of-venice/) · [🎓**University of Waterloo** Waterloo · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) · [🎓**Nanyang Technological University** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🏢**Tencent** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Brown University** Providence · United States 1 work here](https://md.research.elamur.ai/free/en/universities/brown-university/)

works and citations from OpenAlex and our library.

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