Overview
Amazon is proud to be a Platinum sponsor of the 2021 annual conference of the North American Chapter of the Association for Computational Linguistics.
Amazon organizing committee members
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Amazon Scholar
Senior Area Chair, Information Retrieval and Text Mining -
Area Chair, Syntax: Tagging, Chunking, and Parsing
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Amazon Visiting Academic
Senior Area Chair, Ethics, Bias and Fairness -
Dilek Hakkani-TürProgram Chair
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Amazon Scholar
Senior Area Chair, Information Extraction -
Young-Bum KimIndustry Track Chair
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Area Chair, Dialogue and Interactive Systems
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Area Chair, Interpretability and Analysis of Models for NLP
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Area Chair, NLP Applications
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Senior Area Chair, Information Retrieval and Text Mining
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Area Chair, Dialogue and Interactive Systems
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Area Chair, Information Retrieval and Text Mining
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Amazon Visiting Academic
Program Chair -
Area Chair, NLP Applications
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Luca SoldainiArea Chair, Information Retrieval and Text Mining & Social Chair, Diversity & Inclusion Committee
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Gokhan TurArea Chair, NLP Applications
Accepted publications
Workshops
NAACL 2021 Workshop on Multimodal Artificial Intelligence
June 6
NAACL 2021 TrustNLP Workshop on Trustworthy Natural Language Processing
June 10
Amazon organizer: Kai-Wei Change (Amazon Visiting Academic)
Website: https://trustnlpworkshop.github.io/
Website: https://trustnlpworkshop.github.io/
NAACL 2021 Workshop on Privacy in Natural Language Processing
June 11
Amazon organizers: Oluwaseyi Feyisetan, Shervin Malmasi
Website: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=121571©ownerid=158179
Website: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=121571©ownerid=158179
NAACL 2021 Workshop on Visually Grounded Interaction and Language (ViGIL)
June 10
Birds of a feather session on information extraction
June 9
Amazon hosts: Mohit Bansal (Amazon Scholar), Luna Dong, Heng Ji (Amazon Scholar), Dan Roth (Amazon Scholar)
Join this session to discuss 12 potential PhD dissertation topics on information extraction including:
- Keeping IE results in the (neural) IE model
-Extracting propositional semantics from images+text
-Few-shot learning knowledge extraction from semi-structured websites in thousands of domains
-Multi-modal knowledge extraction across texts, images, tables, and semi-structured data
-Combining symbolic semantics and distributional semantics for Information Extraction
-Schema-guided Generation for Cross-media cross-lingual Information Extraction and Prediction
-Fact or Fiction: understanding and targeted summarization of long texts
-A broader notion of Grounding
-Quantitative Reasoning from Natural Language Text
-Incremental approaches to entity understanding and discovery
-Integration of structured KB's with large language models
-On the synthesis of retrieval and structured queries
Join this session to discuss 12 potential PhD dissertation topics on information extraction including:
- Keeping IE results in the (neural) IE model
-Extracting propositional semantics from images+text
-Few-shot learning knowledge extraction from semi-structured websites in thousands of domains
-Multi-modal knowledge extraction across texts, images, tables, and semi-structured data
-Combining symbolic semantics and distributional semantics for Information Extraction
-Schema-guided Generation for Cross-media cross-lingual Information Extraction and Prediction
-Fact or Fiction: understanding and targeted summarization of long texts
-A broader notion of Grounding
-Quantitative Reasoning from Natural Language Text
-Incremental approaches to entity understanding and discovery
-Integration of structured KB's with large language models
-On the synthesis of retrieval and structured queries
Tutorials
NAACL 2021 Mexican NLP Summer School
June 2 - June 4
Amazon speakers: Dr. Sujith Ravi, Dr. Heng Ji (Amazon Scholar)
Website: https://ampln.github.io/escuelaverano2021/
Website: https://ampln.github.io/escuelaverano2021/
NAACL 2021 Deep Learning on Graphs for Natural Language Processing Tutorial
Unknown date
Amazon organizers: Lingfei Wu, Yu Chen, Heng Ji (Amazon Scholar) and Yunyao Li
Website: https://2021.naacl.org/program/tutorials/#t3-morning-deep-learning-on-graphs-for-natural-language-processing
Website: https://2021.naacl.org/program/tutorials/#t3-morning-deep-learning-on-graphs-for-natural-language-processing
Webinars
Women in Conversational AI virtual panel discussion
June 15, 1:00 PM - May 18, 1:45 PM EDT
Join five women working in science across various Amazon domains for a 45-minute discussion on their career stories, what got them started in conversational AI, and where they see opportunities to advance opportunities for women in STEM.
Panelists
Applied Scientist
Principal, Applied Scientist
Maryam Fazel-Zarandi
Senior applied scientist, Alexa AI
Amazon Scholar
Senior Principal Scientist
June 03, 2021
Amazon Scholar Heng Ji says that deep learning could benefit from the addition of a little linguistic intuition.
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