share record
persistent URL:
Ondrej Skopek , Rahul Aralikatte , Sian Gooding , Victor Carbune : Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. CoNLL 2023 : 221-237 share record
persistent URL:
Dama Sravani , Radhika Mamidi : Enhancing Code-mixed Text Generation Using Synthetic Data Filtering in Neural Machine Translation. CoNLL 2023 : 211-220 share record
persistent URL:
Kaiser Sun , Adina Williams , Dieuwke Hupkes : The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoNLL 2023 : 274-293 share record
persistent URL:
Aditya R. Vaidya , Javier Turek , Alexander Huth : Humans and language models diverge when predicting repeating text. CoNLL 2023 : 58-69 share record
persistent URL:
Yuiga Wada , Kanta Kaneda , Komei Sugiura : JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models. CoNLL 2023 : 424-435 share record
persistent URL:
Lucas Weber , Elia Bruni , Dieuwke Hupkes : Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoNLL 2023 : 294-313 share record
persistent URL:
Gijs Wijnholds , Michael Moortgat : Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization. CoNLL 2023 : 155-164 share record
persistent URL:
Frontmatter. CoNLL 2023 share record
persistent URL:
Yuhan Zhang , Edward Gibson , Forrest Davis : Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics. CoNLL 2023 : 1-14 share record
persistent URL:
Xiang Zhang , Shizhu He , Kang Liu , Jun Zhao : On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL 2023 : 38-57 share record
persistent URL:
Jin Zhao , Nianwen Xue , Bonan Min : Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT? CoNLL 2023 : 561-574 share record
persistent URL:
Jing Jiang , David Reitter , Shumin Deng : Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023. Association for Computational Linguistics 2023 , ISBN 979-8-89176-039-4 [contents]