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Seattle, Washington
Conference
NAACL 2022
July 10 - 15, 2022
Seattle, Washington

Overview

Amazon is proud to sponsor the 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022).

Sponsorship Details

Diamond
Conference website
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Amazon organizing committee members

Accepted publications

Workshops

NAACL 2022 Workshop on Deep Learning for Low-Resource NLP
July 10 - July 15
Cross-TOP: Zero-shot cross-schema task-oriented parsing
Melanie Rubino, Nicolas Guenon Des Mesnards, Uday Shah, Nanjiang Jiang, Weiqi Sun, Konstantine Arkoudas
2022
Conversational AI / Natural-language processing
Improving distantly supervised document-level relation extraction through natural language inference
Clara Vania, Grace E. Lee, Andrea Pierleoni
2022
Conversational AI / Natural-language processing
NAACL 2022 Second Workshop on Trustworthy Natural Language Processing (TrustNLP)
July 14
The NLP research community has started incorporating additional constraints to make sure models are fair and privacy-preserving. However, these constraints are not often considered together, which is important since there are critical questions at the intersection of these constraints such as the tension between simultaneously meeting privacy objectives and fairness objectives, which requires knowledge about the demographics a user belongs to. In this workshop, the organizers aim to bring together these distinct yet closely related topics.

Amazon organizers: Kai-Wei Chang, Aram Galystan

Amazon committee members: Rahul Gupta, Anirudh Raju, Varun Kumar

Website: https://trustnlpworkshop.github.io
Differentially private decoding in large language models
Jimit Majmudar, Christophe Dupuy, Charith Peris, Sami Smaili, Rahul Gupta, Richard Zemel
2022
Conversational AI / Natural-language processing
NAACL 2022 Workshop on Gender Bias in NLP
July 15
Debiasing neural retrieval via in-batch balancing regularization
Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold
2022
Search and information retrieval

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