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June 6 - 11, 2021
Virtual
Conference
NAACL 2021

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.

Sponsorship Details

Platinum
Conference website
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Amazon organizing committee members

Accepted publications

Workshops

NAACL 2021 Workshop on Multimodal Artificial Intelligence
June 6
Website: http://multicomp.cs.cmu.edu/naacl2021multimodalworkshop/
A first look: Towards explainable textVQA models via visual and textual explanations
Varun Nagaraj Rao, Xingjian Zhen, Karen Hovsepian, Mingwei Shen
2021
Computer vision
Semantic aligned multi-modal transformer for vision-language understanding: A preliminary study on visual QA
Han Ding, Erran Li, Zhiting Hu, Yi Xu, Dilek Hakkani-Tur, Zheng Du, Belinda Zeng
2021
Conversational AI / Natural-language processing
NAACL 2021 TrustNLP Workshop on Trustworthy Natural Language Processing
June 10
Amazon organizer: Kai-Wei Change (Amazon Visiting Academic)

Website: https://trustnlpworkshop.github.io/
Interpreting text classifiers by learning context-sensitive influence of words
Sawan Kumar, Kalpit Dixit, Kashif Shah
2021
Conversational AI / Natural-language processing
Private release of text embedding vectors
Oluwaseyi Feyisetan, Shiva Kasiviswanathan
2021
Security, privacy, and abuse prevention
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&copyownerid=158179
On a utilitarian approach to privacy preserving text generation
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
2021
Security, privacy, and abuse prevention
NAACL 2021 Workshop on Visually Grounded Interaction and Language (ViGIL)
June 10
Website: https://vigilworkshop.github.io/
How important are visual features for visual grounding? It depends
Fan Yang, Prashan Wanigasekara, Mingda Li, Chengwei Su, Emre Barut
2021
Computer vision
VISITRON: Visual semantics-aligned interactively trained object-navigator
Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gokhan Tur, Devi Parikh, Dilek Hakkani-Tur
2021
Computer vision
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

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/
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

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
Anna Currey
Anna Currey
Applied Scientist III
Rashmi Gangadharaiah
Rashmi Gangadharaiah
Principal Research Scientist
Maryam Fazel-Zarandi
Senior applied scientist, Alexa AI
Heng Ji
Amazon Scholar
Yang Liu
Yang Liu
Senior Principal Scientist
Register here
Heng Ji
Amazon at NAACL 2021: The return of symbolic semantics
Larry Hardesty
June 03, 2021
Amazon Scholar Heng Ji says that deep learning could benefit from the addition of a little linguistic intuition.
Conversational AI / Natural-language processing
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Research Scientist II #0000
US, WA, Bellevue
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Director, Applied Science - PXTCS, PXT Central Science
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The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. As Director for PXT Central Science Technology, you will be responsible for leading multiple teams through rapidly evolving complex demands and define, develop, deliver and execute on our science roadmap and vision. You will provide thought leadership to scientists and engineers to invent and implement scalable machine learning recommendations and data driven algorithms supporting flexible UI frameworks. You will manage and be responsible for delivering some of our most strategic technical initiatives. You will design, develop and operate new, highly scalable software systems that support Amazon’s efforts to be Earth’s Best Employer and have a significant impact on Amazon’s commitment to our employees and communities where we both serve and employ 1.3 million Amazonians. As Director of Applied Science, you will be part of the larger technical leadership community at Amazon. This community forms the backbone of the company, plays a critical role in the broad business planning, works closely with senior executives to develop business targets and resource requirements, influences our long-term technical and business strategy, helps hire and develop engineering leaders and developers, and ultimately enables us to deliver engineering innovations.This role is posted for Arlington, VA, but we are flexible on location at many of our offices in the US and Canada.
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Employer: Amazon.com Services LLCPosition: Data Scientist IILocation: Arlington, VAMultiple Positions Available1. Manage and execute entire projects or components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.2. Oversee the development and implementation of data integration and analytic strategies to support population health initiatives.3. Leverage big data to explore and introduce areas of analytics and technologies.4. Analyze data to identify opportunities to impact populations.5. Perform advanced integrated comprehensive reporting, consultative, and analytical expertise to provide healthcare cost and utilization data and translate findings into actionable information for internal and external stakeholders.6. Oversee the collection of data, ensuring timelines are met, data is accurate and within established format.7. Act as a data and technical resource and escalation point for data issues, ensuring they are brought to resolution.8. Serve as the subject matter expert on health care benefits data modeling, system architecture, data governance, and business intelligence tools. #0000
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Employer: Amazon.com Services LLCPosition: Data Scientist II (multiple positions available)Location: Dallas, TX Multiple Positions Available:1. Assist customers to deliver Machine Learning (ML) and Deep Learning (DL) projects from beginning to end, by aggregating data, exploring data, building and validating predictive models, and deploying completed models to deliver business impact to the organization;2. Apply understanding of the customer’s business need and guide them to a solution using AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances;3. Use Deep Learning frameworks like MXNet, PyTorch, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models;4. Research, design, implement and evaluate novel computer vision algorithms and ML/DL algorithms;5. Work with data architects and engineers to analyze, extract, normalize, and label relevant data;6. Work with DevOps engineers to help customers operationalize models after they are built;7. Assist customers with identifying model drift and retraining models;8. Research and implement novel ML and DL approaches, including using FPGA;9. Develop computer vision and machine learning methods and algorithms to address real-world customer use-cases; and10. Design and run experiments, research new algorithms, and work closely with engineers to put algorithms and models into practice to help solve customers' most challenging problems.11. Approximately 15% domestic and international travel required.12. Telecommuting benefits are available.#0000
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Data Scientist II - AMZ5822992
US, VA, Arlington
MULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Data Scientist IILocation: Arlington, VirginiaPosition Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
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