Computational Linguistics 2024: all accepted papers
- A Bayesian Approach to Uncertainty in Word Embedding Bias EstimationAlicja Dobrzeniecka, Rafal Urbaniak
- A Novel Alignment-based Approach for PARSEVAL MeasuresEunkyul Leah Jo, Angela Yoonseo Park, Jungyeul Park
- A Systematic Review of Computational Approaches to Deciphering Bronze Age Aegean and Cypriot ScriptsMaja Braović, Damir Krstinić, Maja Štula et al.
- Aligning Human and Computational Coherence EvaluationsJia Peng Lim, Hady W. Lauw
- Analyzing Dataset Annotation Quality Management in the WildJan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych
- Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question AnsweringAkshay Chaturvedi, Swarnadeep Bhar, Soumadeep Saha et al.
- Assessing the Cross-linguistic Utility of Abstract Meaning RepresentationShira Wein, Nathan Schneiderour summary
- Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow et al.
- Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh et al.
- Cognitive Plausibility in Natural Language ProcessingYevgen Matusevych
- Common Flaws in Running Human Evaluation Experiments in NLPCraig Thomson, Ehud Reiter, Anya Belz
- Context-aware Transliteration of Romanized South Asian LanguagesChristo Kirov, Cibu Johny, Anna Katanova et al.
- Cross-lingual Cross-temporal Summarization: Dataset, Models, EvaluationRan Zhang, Jihed Ouni, Steffen Eger
- Decode, Move and Speak! Self-supervised Learning of Speech Units, Gestures, and Sound Relationships Using Vocal ImitationMarc-Antoine Georges, Marvin Lavechin, Jean-Luc Schwartz et al.
- Do Language Models' Words Refer?Matthew Mandelkern, Tal Linzen
- Do Multimodal Large Language Models and Humans Ground Language Similarly?Cameron R. Jones, Benjamin Bergen, Sean Trott
- Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process GenericsEmily Allaway, Chandra Bhagavatula, Jena D. Hwang et al.
- Exploring Temporal Sensitivity in the Brain Using Multi-timescale Language Models: An EEG Decoding StudySijie Ling, Alex Murphy, Alona Fyshe
- From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense ConsistencyXenia Ohmer, Elia Bruni, Dieuwke Hupkes
- How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language ModelsMark Ormerod, Jesús Martínez del Rincón, Barry Devereux
- Humans Learn Language from Situated Communicative Interactions. What about Machines?Katrien Beuls, Paul Van Eecke
- LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency ParsingMeishan Zhang, Gongyao Jiang, Shuang Liu et al.
- Language Learning, Representation, and Processing in Humans and Machines: Introduction to the Special IssueMarianna Apidianaki, Abdellah Fourtassi, Sebastian Padó
- Language Model Behavior: A Comprehensive SurveyTyler A. Chang, Benjamin K. Bergenour summary
- Large Language Model Instruction Following: A Survey of Progresses and ChallengesRenze Lou, Kai Zhang, Wenpeng Yin
- Meaning Beyond Lexicality: Capturing Pseudoword Definitions with Language ModelsAndrea Gregor de Varda, Daniele Gatti, Marco Marelli et al.
- My Big, Fat 50-Year JourneyMartha Palmer
- On the Role of Morphological Information for Contextual LemmatizationOlia Toporkov, Rodrigo Agerriour summary
- Perception of Phonological Assimilation by Neural Speech Recognition ModelsCharlotte Pouw, Marianne de Heer Kloots, Afra Alishahi et al.
- Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsJanosch Haber, Massimo Poesio
- Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation ApproachMaxime Delmas, Magdalena Wysocka, André Freitas
- Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine TranslationJianhui Pang, Baosong Yang, Derek Fai Wong et al.
- Stance Detection with ExplanationsRudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng
- The Pitfalls of Defining HallucinationKees van Deemter
- Topics in the Haystack: Enhancing Topic Quality through Corpus ExpansionAnton Thielmann, Arik Reuter, Quentin Seifert et al.
- Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burchour summary
- UG-schematic Annotation for Event Nominals: A Case Study in Mandarin ChineseWenxi Li, Yutong Zhang, Guy Emerson et al.
- Usage-based Grammar Induction from Minimal Cognitive PrinciplesAnna Jon-And, Jérôme Michaud
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