---
title: "Computational Linguistics 2023 — all accepted papers"
description: "All 30 papers of Computational Linguistics 2023, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/cl/2023/papers/"
---
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# Computational Linguistics 2023: all accepted papers

30 papers · the most cited first · [← Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/cl/2023/)

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
26. **[Reflection of Demographic Background on Word Usage ↗](https://aclanthology.org/2023.cl-2.4/)**Aparna Garimella, Carmen Banea, Rada Mihalcea
27. **[Statistical Methods for Annotation Analysis ↗](https://aclanthology.org/2023.cl-3.7/)**Rodrigo Wilkens
28. **[The Analysis of Synonymy and Antonymy in Discourse Relations: An Interpretable Modeling Approach ↗](https://aclanthology.org/2023.cl-2.6/)**Asela Reig Alamillo, David Torres Moreno, Eliseo Morales González et al.
29. **[Transformers and the Representation of Biomedical Background Knowledge ↗](https://aclanthology.org/2023.cl-1.2/)**Oskar Wysocki, Zili Zhou, Paul O'Regan et al.
30. **[Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science ↗](https://aclanthology.org/2023.cl-1.7/)**Richard Futrell
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