Overview
Empirical Methods in Natural Language Processing is a leading conference in the area of natural language processing and artificial intelligence. This year, Amazon has more than 40 papers at EMNLP, covering familiar topics like natural-language understanding and question answering, as well as disparate subjects such as as robotics and geospatial learning.
Amazon organizing committee members
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Senior program committee member
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Senior program committee member
Accepted publications
Workshops
EMNLP 2022 Workshop on Ever Evolving NLP
December 7
EvoNLP, the First Workshop on Ever Evolving NLP, a forum to discuss the challenges posed by the dynamic nature of language in the specific context of the current NLP paradigm, dominated by language models.
Website: https://sites.google.com/view/evonlp
Website: https://sites.google.com/view/evonlp
EMNLP 2022 Workshop on Massively Multilingual NLU
December 7
The vision of this workshop is to help propel natural language understanding technology into the 50-language, 100-language, and even the 1,000-language regime, both for production systems and for research endeavors. Learn more in our blog post.
Amazon speakers: Dilek Hakkani-Tür
Amazon organizers: Jack FitzGerald, Kay Rottmann, Charith Peris, Christopher Hench
Website: https://mmnlu-22.github.io
Amazon speakers: Dilek Hakkani-Tür
Amazon organizers: Jack FitzGerald, Kay Rottmann, Charith Peris, Christopher Hench
Website: https://mmnlu-22.github.io
EMNLP 2022 Seventh Conference on Machine Translation (WMT22)
December 7 - December 8
Several EASIER partners are involved in the organization of this academic conference, which builds on a series of annual workshops and conferences on statistical machine translation, going back to 2006. This year, for the first time, a shared tasks on SL machine translation (WMT-SLT 22) will be organized.
EMNLP 2022 Workshop on Generation, Evaluation & Metrics (GEM)
December 7 - December 11
The Second Version of Generation, Evaluation & Metrics (GEM) Workshop 2022 workshop will be held as part of EMNLP, December 7-11, 2022. It is endorsed by the ACL Special Interest Group on Natural Language Generation (SIGGEN).
EMNLP 2022 Workshop on Natural Legal Language Processing
December 8
The NLLP community aims to bring together researchers and practitioners from Natural Language Processing (NLP) and the legal domain who work on methods and applications of Natural Language Processing by focusing on legal text and text with legal significance.
Website: https://nllpw.org/workshop
Website: https://nllpw.org/workshop
EMNLP 2022 Workshop on Multilingual Representation Learning
December 8
This workshop aims to bring together the research community consisting of scientists studying different aspects in multilingual representation learning, currently the most promising approach to improve the NLP in low-resource or underrepresented languages, and provide the rapidly growing number of researchers working on the topic with a means of communication and an opportunity to present their work and exchange ideas.
EMNLP 2022 Workshop on Arabic Natural Language Processing (WANLP)
December 8
The Seventh Arabic Natural Language Processing Workshop (WANLP 2022) at EMNLP 2022 in Abu Dhabi, UAE
Website: https://sites.google.com/view/wanlp2022/
Website: https://sites.google.com/view/wanlp2022/
EMNLP 2022 Workshop on Novel Ideas in Learning-to-Learn through Interaction (NILLI)
December 8
This interdisciplinary research topic unifies research paradigms of lifelong learning, natural language processing, embodied learning, reinforcement learning, robot learning and multi-modal learning towards building interactive and interpretable AI.
Related content
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January 18, 2023On natural-language-understanding tasks, student models trained only on task-specific data outperform those trained on a mix that includes generic data.
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December 14, 2022EMNLP papers examine constrained generation of rewrite candidates and automatic selection of information-rich training data.
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December 13, 2022Amazon Machine Learning Fellow Jiao Sun works on strategies to control text generation.
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December 08, 2022Test set includes 1,150 text segments, each in nine languages.
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December 07, 2022For maximum utility, says Miguel Ballesteros, large language models will need to generate coherent and consistent outputs and recognize prompts expressed in different ways.
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December 06, 2022Familiar topics like information extraction and question answering share space with robotics and geolocation learning, and query rewriting emerges as a dynamic area of research.