📰 Computational Linguistics 2023: all accepted papers

30 papers · the most cited first · ← Computational Linguistics 2023

1. Annotation Error Detection: Analyzing the Past and Present for a More Coherent FutureJan-Christoph Klie, Bonnie Webber, Iryna Gurevychour summary
2. Capturing Fine-Grained Regional Differences in Language Use through Voting Precinct Embeddings ↗Alex Rosenfeld, Lars Hinrichs
3. Certified Robustness to Text Adversarial Attacks by Randomized [MASK] ↗Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng et al.
4. Comparing Selective Masking Methods for Depression Detection in Social Media ↗Chanapa Pananookooln, Jakrapop Akaranee, Chaklam Silpasuwanchai
5. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots by Michael McTear ↗Olga Seminck
6. Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing ↗Rochelle Choenni, Dan Garrette, Ekaterina Shutova
7. Curing the SICK and Other NLI Maladies ↗Aikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb et al.
8. Data-driven Cross-lingual Syntax: An Agreement Study with Massively Multilingual Models ↗Andrea Gregor de Varda, Marco Marelli
9. Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction ↗Enrica Troiano, Laura Oberländer, Roman Klinger
10. Dimensions of Explanatory Value in NLP Models ↗Kees van Deemter
11. Finite-State Text Processing ↗Aniello De Santo
12. From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation ↗Marianna Apidianaki
13. Generation and Polynomial Parsing of Graph Languages with Non-Structural Reentrancies ↗Johanna Björklund, Frank Drewes, Anna Jonsson
14. Gradual Modifications and Abrupt Replacements: Two Stochastic Lexical Ingredients of Language Evolution ↗Michele Pasquini, Maurizio Serva, Davide Vergni
15. Grammatical Error Correction: A Survey of the State of the Art ↗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 ↗Zheng Tang, Mihai Surdeanu
17. Language Embeddings Sometimes Contain Typological Generalizations ↗Robert Östling, Murathan Kurfalı
18. Languages Through the Looking Glass of BPE Compression ↗Ximena Gutierrez-Vasques, Christian Bentz, Tanja Samardžić
19. Machine Learning for Ancient Languages: A SurveyThea Sommerschield, Yannis Assael, John Pavlopoulos et al.our summary
20. Measuring Attribution in Natural Language Generation ModelsHannah Rashkin, Vitaly Nikolaev, Matthew Lamm et al.our summary
21. My Tenure as the Editor-in-Chief of Computational Linguistics ↗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 ↗Chris van der Lee, Thiago Castro Ferreira, Chris Emmery et al.
23. Obituary: Yorick Wilks ↗John Tait, Robert Gaizauskas, Kalina Bontcheva
24. Onception: Active Learning with Expert Advice for Real World Machine Translation ↗Vânia Mendonça, Ricardo Rei, Luísa Coheur et al.
25. Pretrained Transformers for Text Ranking: BERT and Beyond ↗Suzan Verberne
26. Reflection of Demographic Background on Word Usage ↗Aparna Garimella, Carmen Banea, Rada Mihalcea
27. Statistical Methods for Annotation Analysis ↗Rodrigo Wilkens
28. The Analysis of Synonymy and Antonymy in Discourse Relations: An Interpretable Modeling Approach ↗Asela Reig Alamillo, David Torres Moreno, Eliseo Morales González et al.
29. Transformers and the Representation of Biomedical Background Knowledge ↗Oskar Wysocki, Zili Zhou, Paul O'Regan et al.
30. Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science ↗Richard Futrell

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