📰 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.

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 FutureJan-Christoph Klie, Bonnie Webber, Iryna Gurevychour summary
2. Capturing Fine-Grained Regional Differences in Language Use through Voting Precinct EmbeddingsAlex 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 MediaChanapa Pananookooln, Jakrapop Akaranee, Chaklam Silpasuwanchai
5. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots by Michael McTearOlga Seminck
6. Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency ParsingRochelle Choenni, Dan Garrette, Ekaterina Shutova
7. Curing the SICK and Other NLI MaladiesAikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb et al.
8. Data-driven Cross-lingual Syntax: An Agreement Study with Massively Multilingual ModelsAndrea Gregor de Varda, Marco Marelli
9. Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and PredictionEnrica Troiano, Laura Oberländer, Roman Klinger
10. Dimensions of Explanatory Value in NLP ModelsKees van Deemter
11. Finite-State Text ProcessingAniello De Santo
12. From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and InterpretationMarianna Apidianaki
13. Generation and Polynomial Parsing of Graph Languages with Non-Structural ReentranciesJohanna Björklund, Frank Drewes, Anna Jonsson
14. Gradual Modifications and Abrupt Replacements: Two Stochastic Lexical Ingredients of Language EvolutionMichele Pasquini, Maurizio Serva, Davide Vergni
15. Grammatical Error Correction: A Survey of the State of the ArtChristopher Bryant, Zheng Yuan, Muhammad Reza Qorib et al.
16. It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation ClassifiersZheng Tang, Mihai Surdeanu
17. Language Embeddings Sometimes Contain Typological GeneralizationsRobert Östling, Murathan Kurfalı
18. Languages Through the Looking Glass of BPE CompressionXimena 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 LinguisticsHwee 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 ModelChris van der Lee, Thiago Castro Ferreira, Chris Emmery et al.
23. Obituary: Yorick WilksJohn Tait, Robert Gaizauskas, Kalina Bontcheva
24. Onception: Active Learning with Expert Advice for Real World Machine TranslationVânia Mendonça, Ricardo Rei, Luísa Coheur et al.
25. Pretrained Transformers for Text Ranking: BERT and BeyondSuzan Verberne

See all 30 papers in Computational Linguistics 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 SurveyComputational LinguisticsIsabel 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 ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 966 citations
3. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
4. Measuring Attribution in Natural Language Generation ModelsComputational LinguisticsHannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.2023 · 198 citations
5. Machine Learning for Ancient Languages: A SurveyComputational LinguisticsThea Sommerschield, Yannis Assael, John Pavlopoulos, et al.2023 · 123 citations
6. Annotation Error Detection: Analyzing the Past and Present for a More Coherent FutureJan-Christoph Klie, Bonnie Webber, Iryna Gurevych2023 · 73 citations

🧭 Top topics

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

🧠Language models & pretraining (3)✍️Text generation (1)🛡️Bias, fairness & safety (1)English (1)

📚 Fields

🎭Arts and Humanities (6)🖥️Computer Science (6)🤝Social Sciences (2)

🧑‍🔬 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.

🏢Google DeepMindLondon · United Kingdom2 works here🎓Stanford UniversityStanford · United States2 works here🎓Dartmouth CollegeHanover · United States1 work here🏢GoogleMountain View · United States1 work here🎓Georgia Institute of TechnologyAtlanta · United States1 work here🏢IntelSanta Clara · United States1 work here🎓Ca' Foscari University of VeniceVenice · Italy1 work here🎓University of WaterlooWaterloo · Canada1 work here🎓Nanyang Technological UniversitySingapore · Singapore1 work here🏢TencentShenzhen · China1 work here🎓University of CambridgeCambridge · United Kingdom1 work here🎓Brown UniversityProvidence · United States1 work here

works and citations from OpenAlex and our library.

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