CoNLL 2022 — accepted papers
CoNLL 2022 is the 2022 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Abu Dhabi, United Arab Emirates (Hybrid), December 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 28 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Abu Dhabi, United Arab Emirates (Hybrid) · 🗓 December 2022
Most cited papers
- Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities ↗Suhas Arehalli, Brian Dillon, Tal Linzen32 citations
- OpenStance: Real-world Zero-shot Stance DetectionHanzi Xu, Slobodan Vucetic, Wenpeng Yin18 citations · our summary
- A Fine-grained Interpretability Evaluation Benchmark for Neural NLP ↗Lijie Wang, Yaozong Shen, Shuyuan Peng et al.15 citations
- Detecting Unintended Social Bias in Toxic Language Datasets ↗Nihar Sahoo, Himanshu Gupta, Pushpak Bhattacharyya15 citations
- How Hate Speech Varies by Target Identity: A Computational Analysis ↗Michael Miller Yoder, Lynnette Hui Xian Ng, David West Brown et al.15 citations
- Collateral facilitation in humans and language models ↗James A. Michaelov, Benjamin K. Bergen9 citations
- A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification ↗Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka et al.7 citations
- Continual Learning for Natural Language Generations with Transformer Calibration ↗Peng Yang, Dingcheng Li, Ping Li7 citations
- Optimizing text representations to capture (dis)similarity between political parties ↗Tanise Ceron, Nico Blokker, Sebastian Padó7 citations
- Cognitive Simplification Operations Improve Text Simplification ↗Eytan Chamovitz, Omri Abend6 citations
All accepted papers (28)
- Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities ↗Suhas Arehalli, Brian Dillon, Tal Linzen32 citations
- OpenStance: Real-world Zero-shot Stance DetectionHanzi Xu, Slobodan Vucetic, Wenpeng Yin18 citations · our summary
- A Fine-grained Interpretability Evaluation Benchmark for Neural NLP ↗Lijie Wang, Yaozong Shen, Shuyuan Peng et al.15 citations
- Detecting Unintended Social Bias in Toxic Language Datasets ↗Nihar Sahoo, Himanshu Gupta, Pushpak Bhattacharyya15 citations
- How Hate Speech Varies by Target Identity: A Computational Analysis ↗Michael Miller Yoder, Lynnette Hui Xian Ng, David West Brown et al.15 citations
- Collateral facilitation in humans and language models ↗James A. Michaelov, Benjamin K. Bergen9 citations
- A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification ↗Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka et al.7 citations
- Continual Learning for Natural Language Generations with Transformer Calibration ↗Peng Yang, Dingcheng Li, Ping Li7 citations
- Optimizing text representations to capture (dis)similarity between political parties ↗Tanise Ceron, Nico Blokker, Sebastian Padó7 citations
- Cognitive Simplification Operations Improve Text Simplification ↗Eytan Chamovitz, Omri Abend6 citations
- Entailment Semantics Can Be Extracted from an Ideal Language Model ↗William Merrill, Alex Warstadt, Tal Linzen5 citations
- Leveraging a New Spanish Corpus for Multilingual and Cross-lingual Metaphor Detection ↗Elisa Sanchez-Bayona, Rodrigo Agerri4 citations
- PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora ↗Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang et al.4 citations
- An Alignment-based Approach to Text Segmentation Similarity Scoring ↗Gerardo Ocampo Diaz, Jessica Ouyang3 citations
- Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models ↗Aaron Mueller, Yu Xia, Tal Linzen3 citations
- Characterizing Verbatim Short-Term Memory in Neural Language Models ↗Kristijan Armeni, Christopher Honey, Tal Linzen3 citations
- That's so cute!: The CARE Dataset for Affective Response Detection ↗Jane Dwivedi-Yu, Alon Y. Halevy3 citations
- Shared knowledge in natural conversations: can entropy metrics shed light on information transfers? ↗Eliot Maës, Philippe Blache, Leonor Becerra2 citations
- Towards More Natural Artificial Languages ↗Mark Hopkins2 citations
- Visual Semantic Parsing: From Images to Abstract Meaning Representation ↗Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu et al.2 citations
- Enhancing the Transformer Decoder with Transition-based Syntax ↗Leshem Choshen, Omri Abend1 citation
- Incremental Processing of Principle B: Mismatches Between Neural Models and Humans ↗Forrest Davis1 citation
- On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers ↗Tanja Samardžić, Ximena Gutierrez-Vasques, Rob van der Goot et al.1 citation
- On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation ↗Gal Patel, Leshem Choshen, Omri Abend1 citation
See all 28 papers in CoNLL 2022 — accepted papers →
Papers with our summary in our library (1)
- OpenStance: Real-world Zero-shot Stance DetectionConference on Computational Natural Language Learning (CoNLL)Hanzi Xu, Slobodan Vucetic, Wenpeng Yin2022 · 32 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
Top institutions
United StatesThis page in Markdown → https://md.research.elamur.ai/free/en/venues/conll/2022/