EMNLP 2023 Conference Submissions

Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce
Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks
Atsumoto Ohashi, Ryuichiro Higashinaka
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
Chenxu Wang, Ping Jian, Mu Huang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Learning to Rank Generation with Pairwise Partial Rewards
Youngwon Lee, Jinu Lee, seung-won hwang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
Jaap Jumelet, Willem Zuidema
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
PromptST: Abstract Prompt Learning for End-to-End Speech Translation
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction
Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
Xinyu Ma, Xuebo Liu, Min Zhang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
FFAEval: Evaluating Dialogue System via Free-For-All Ranking
Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Speech Recognition and Meaning Interpretation: Towards Disambiguation of Structurally Ambiguous Spoken Utterances in Indonesian
Ruhiyah Faradishi Widiaputri, Ayu Purwarianti, Dessi Puji Lestari, Kurniawati Azizah, Dipta Tanaya, Sakriani Sakti
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages
Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Multilingual Lottery Tickets to Pretrain Language Models
Jaeseong Lee, seung-won hwang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Time-Considerable Dialogue Models via Reranking by Time Dependency
Yuiko Tsunomori, Masakazu Ishihata, Hiroaki Sugiyama
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone
Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division
Junpeng Liu, Kaiyu Huang, Hao Yu, Jiuyi Li, Jinsong Su, Degen Huang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
"Fifty Shades of Bias": Normative Ratings of Gender Bias in GPT Generated English Text
Rishav Hada, Agrima Seth, Harshita Diddee, Kalika Bali
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Main
- Readers: Everyone
Exploring Context-Aware Evaluation Metrics for Machine Translation
Xinyu Hu, Xunjian Yin, Xiaojun Wan
- Published: 07 Oct 2023, Last Modified: 01 Dec 2023
- EMNLP 2023 Findings
- Readers: Everyone