content type eventpublished November 2023

Empirical Methods in Natural Language Processing (EMNLP) 2023

Apple is sponsoring the Empirical Methods in Natural Language Processing (EMNLP) conference, which will take place in person from December 6 to 10 in Singapore. EMNLP is a leading conference focused on natural language processing. Below is the schedule of Apple-sponsored workshops and events at EMNLP 2023.

Schedule

Wednesday, December 6

Thursday, December 7

  • WORKSHOP
  • BlackboxNLP
  • 9:00 AM - 6:00 PM LT, West Ballroom 2

Friday, December 8

Sunday, December 10

Accepted Papers

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues

David Q. Sun, Artem Abzaliev, Hadas Kotek, Zidi Xiu, Christopher Klein

EELBERT: Tiny Models through Dynamic Embeddings

Gabrielle Cohn, Rishika Agarwal, Deepanshu Gupta, Siddharth Patwardhan

Increasing Coverage and Precision of Multilingual Textual Information in Knowledge Graphs

Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab Ilyas, Yunyao Li

FLEEK: FactuaL Error Detection and Correction with Evidence Retrieved from External Knowledge

Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab Ilyas, Yunyao Li

STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants

Leon Liyang Zhang, Jiarui Lu, Joel Ruben Antony Moniz, Aditya Kulkarni, Dhivya Piraviperumal, Tien Dung Tran, Nicholas Tzou, Hong Yu

Workshop Accepted Papers

MARRS: Multi-Modal Reference Resolution Service

Anand Dhoot, Andy Tseng, Ankit Samal, Dhivya Piraviperumal, Halim Cagri Ates, Hong Yu, Jiarui Lu, Joel Moniz, Melis Ozyildirim, Roman Nguyen, Shirley (Rong) Zou, Shruti Bhargava, Siddardha Maddula, Site Li, Thy Tran, Yuan Zhang

Towards Real-World Streaming Speech Translation for Code-Switched Speech

Belen Alastruey, Matthias Sperber, Christian Gollan, Dominic Telaar, Tim Ng, Aashish Agargwal

Acknowledgements

Reza Shirani, Sid Patwardhan and Yizhe Zhangare reviewers for EMNLP 2023.

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International Conference on Machine Learning (ICML) 2023

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