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Findings of the Association for Computational Linguistics 2023: all accepted papers

2,194 papers · page 21 of 22 · the most cited first · ← Findings of the Association for Computational Linguistics 2023

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  1. Evaluation of Question Generation Needs More References ↗Shinhyeok Oh, Hyojun Go, Hyeongdon Moon et al.
  2. Few-Shot Adaptation for Parsing Contextual Utterances with LLMs ↗Kevin Lin, Patrick Xia, Hao Fang · IJCNLP-AACL 2023 (Findings
  3. Few-shot Named Entity Recognition with Supported and Dependent Label Representations ↗Yasuhide Miura, Takumi Takahashi · IJCNLP-AACL 2023 (Findings
  4. Fixed Input Parameterization for Efficient Prompting ↗Eunbi Choi, Yongrae Jo, Joel Jang et al.
  5. G-SPEED: General SParse Efficient Editing MoDel ↗Haoke Zhang, Yue Wang, Juntao Li et al.
  6. Going beyond research datasets: Novel intent discovery in the industry setting ↗Aleksandra Chrabrowa, Tsimur Hadeliya, Dariusz Kajtoch et al.
  7. Guiding AMR Parsing with Reverse Graph Linearization ↗Bofei Gao, Liang Chen, Peiyi Wang et al.
  8. How Well Do Text Embedding Models Understand Syntax? ↗Yan Zhang, Zhaopeng Feng, Zhiyang Teng et al.
  9. Improved Training of Deep Text Clustering ↗Zonghao Yang, Wenpeng Hu, Yushan Tan et al.
  10. Interpreting Sentiment Composition with Latent Semantic Tree ↗Zhongtao Jiang, Yuanzhe Zhang, Cao Liu et al.
  11. Isotropy-Enhanced Conditional Masked Language Models ↗Pei Guo, Yisheng Xiao, Juntao Li et al.
  12. Knowledge Corpus Error in Question Answering ↗Yejoon Lee, Philhoon Oh, James Thorne
  13. Learning Disentangled Representations for Natural Language Definitions ↗Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang et al.
  14. MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types ↗Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan et al.
  15. MUX-PLMs: Data Multiplexing for High-throughput Language Models ↗Vishvak Murahari, Ameet Deshpande, Carlos Jimenez et al.
  16. Machine Reading Comprehension using Case-based Reasoning ↗Dung Thai, Dhruv Agarwal, Mudit Chaudhary et al.
  17. Measure Children's Mindreading Ability with Machine Reading ↗Yuliang Yan, Xiaohua Wang, Xiang Zhou et al.
  18. Measuring bias in Instruction-Following models with P-AT ↗Dario Onorati, Elena Sofia Ruzzetti, Davide Venditti et al.
  19. Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ↗Aaron Mueller, Kanika Narang, Lambert Mathias et al.
  20. Model Analysis & Evaluation for Ambiguous Question Answering ↗Konstantinos Papakostas, Irene Papadopoulou
  21. Multi Document Summarization Evaluation in the Presence of Damaging Content ↗Avshalom Manevich, David Carmel, Nachshon Cohen et al.
  22. Multi-Target Semantic Parsing with Collaborative Deliberation Network ↗Xiang Li, Fangyu Lei, Shizhu He et al. · IJCNLP-AACL 2023 (Findings

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