content type eventpublished July 7, 2023
Apple sponsored the annual meeting of the Association for Computational Linguistics (ACL), which took place in person from July 9 to 14 in Toronto, Canada. ACL is a conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. Below was the schedule of Apple- sponsored workshops and events at ACL 2023.
Schedule
Sunday, July 9
- WORKSHOP
- Queer in AI
- 9:00 AM - 6:00 PM LT at Pier 9
Monday, July 10
- SPOTLIGHT
- Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
- 7:00 - 9:00 PM LT in the Metropolitan Centre
- Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan
Tuesday, July 11
- POSTER
- Learning Language-Specific Layers for Multilingual Machine Translation
- 9:00 - 10:30 AM LT in Frontenac Ballroom and Queen’s Quay
- Telmo Pires, Robin M. Schmidt, Yi-Hsiu Liao, Stephan Peitz
- POSTER
- Referring to Screen Texts with Voice Assistants
- 4:15 - 5:45 PM LT in Frontenac Ballroom and Queen’s Quay
- Shruti Bhargava, Anand Dhoot, Ing-marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu and Vincent Renkens
- POSTER
- Application-Agnostic Language Modeling for On-Device ASR
- 4:15 - 5:45 PM LT in Frontenac Ballroom and Queen’s Quay
- Markus Nussbaum-thom, Lyan Verwimp and Youssef Oualil
Wednesday, July 12
- SOCIAL
- Queer in AI
- 12:30 - 2:00 PM LT at Dockside 3
- POSTER
- Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
- 11:00 AM - 12:30 PM LT at Pier 2 & 3
- Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan
Accepted Papers
Application-Agnostic Language Modeling for On-Device ASR
Markus Nussbaum-Thom, Lyan Verwimp and Youssef Oualil
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber and Hendra Setiawan
Learning Language-Specific Layers for Multilingual Machine Translation
Telmo Pires, Robin M. Schmidt, Yi-Hsiu Liao and Stephan Peitz
Referring to Screen Texts with Voice Assistants
Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu and Vincent Renkens
Demo
Linked Callouts in Siri
Siri today provides fast, direct, and trustworthy answers to open domain questions. The answers are in the form of a passage, and a short span that directly answers the question is highlighted. We have now added Linked Callout on top of the passage. If the highlighted text contains a named entity, it is chosen to be shown on top of the passage as Linked Callout. The named-entity is linked to a knowledge graph (KG), and users can explore more information about that entity by tapping onto the KG card. The goal of linked callout feature is to combine structured knowledge and unstructured information retrieval techniques. The linked callout provides direct, clear, and complete answers to user queries, and significantly enriches the web answer user experience.
All ACL attendees were invited to stop by the Apple booth to experience this demo in person.
Acknowledgements
Jason Williams is an Industry Track chair for ACL 2023.
Stephan Peitz is an Area chair for ACL 2023.
Mozhdeh Gheini, Robin Schmidt, Shruti Bhargava, and Tatiana Likhomanenko are reviewers for ACL 2023.
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International Conference on Machine Learning (ICML) 2023
Apple sponsored the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), which took place in person from June 18 to 22 in Vancouver, Canada. CVPR is an annual computer vision event comprising the main conference and several co-located workshops and courses. Below was the schedule of our sponsored workshops and events at CVPR 2023.
ACL 2020
Apple sponsored the 58th Annual Meeting of the Association for Computational Linguistics (ACL) from July 5 - 10. ACL is the premier conference of the field of computational linguistics, covering a broad spectrum of research areas regarding computational approaches to natural language.
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