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August 1 - 6, 2021
Bangkok, Thailand
Conference
ACL-IJCNLP 2021

Overview

The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) will be held in Bangkok, Thailand.

Sponsorship Details

Platinum
Conference website
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Amazon organizing committee members

  • MLRA Photos/Mohit_Bansal.jpg
    Mohit Bansal
    Amazon Scholar
    Area Chair, Language Grounding to Vision, Robotics and Beyond
  • Danushka Bollegala.jpg
    Danushka Bollegala
    Amazon Scholar
    Area Chair, Interpretability and Analysis of Models for NLP
  • Photos/Chang_Kai-Wei.jpg
    Kai-Wei Chang
    Amazon Visiting Academic
    Area Chair, Ethics in NLP
  • Weiwei Cheng
    Weiwei Cheng
    Area Chair, Question Answering
  • Christos Christodoulopoulos.jpg
    Christos Christodoulopoulos
    Area Chair, Information Extraction
  • Maryam Fazel-Zarandi
    Maryam Fazel-Zarandi
    Area Chair, Dialogue and Interactive Systems
  • marcello_federico.jpg
    Marcello Federico
    Area Chair, Machine Translation and Multilinguality
  • Simone-Filice.jpg
    Simone Filice
    Area Chair, Question Answering
  • Heng Ji
    Heng Ji
    Amazon Scholar
    Co-chair, Demos
  • Mu-Li.jpg
    Mu Li
    Area Chair, Machine Translation and Multilinguality
  • Jing-Liu.jpg
    Jing Liu
    Area Chair, Question Answering
  • Qun-Liu.jpg
    Qun Liu
    Senior Area Chair, Machine Translation and Multilinguality
  • Yang Liu
    Yang Liu
    Area Chair, Machine Learning for NLP
  • Lluís Marquez
    Lluis Marquez
    Area Chair, Information Extraction
  • alessandro_moschitti.jpg
    Alessandro Moschitti
    Senior Area Chair, Question Answering
  • Smaranda-Muresan.jpg
    Smaranda Muresan
    Amazon Scholar
    Area Chair, Sentiment Analysis, Stylistic Analysis, and Argument Mining
  • ramesh.jpg
    Ramesh Nallapati
    Area Chair, Question Answering
  • Qiang-Ning.jpg
    Qiang Ning
    Area Chair, Information Extraction
  • Cicero-Nogueira-dos-Santos.jpg
    Cicero Nogueira dos Santos
    Area Chair, Question Answering
  • Matthias-Petri.jpg
    Matthias Petri
    Area Chair, Question Answering
  • oleg_rokhlenko.jpg
    Oleg Rokhlenko
    Area Chair, Question Answering
  • Dan-Roth.jpg
    Dan Roth
    Amazon Scholar
    Senior Area Chair, Information Extraction
  • Kevin Small.jpg
    Kevin Small
    Area Chair, Information Extraction
  • luca.jpg
    Luca Soldaini
    Area Chair, Question Answering
  • Jesse-Thomason.jpg
    Jesse Thomason
    Area Chair, Language Grounding to Vision, Robotics and Beyond
  • Yannick-Versley.jpg
    Yannick Versley
    Area Chair, Syntax: Tagging, Chunking and Parsing
  • Thuy-Vu.jpg
    Thuy Vu
    Area Chair, Question Answering
  • Zhiguo-Wang.jpg
    Zhiguo Wang
    Area Chair, Generation
  • Yi Zhang
    Yi Zhang
    Area Chair, Semantics: Lexical

Accepted publications

ACL Findings accepted papers

Workshops

ACL-IJCNLP 2021 Workshop on e-Commerce and NLP (ECNLP)
August 5 - August 6
Amazon contributors: Shervin Malmasi, Eugene Agichtein, Oleg Rokhlenko

Website: https://sites.google.com/view/ecnlp
A semi-supervised multi-task learning approach to classify customer contact intents
Li Dong, Matthew C. Spencer, Amir Biagi
2021
Conversational AI
ASR adaptation for e-commerce chatbots using cross-utterance context and multi-task language modeling
Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
2021
Conversational AI
Campaign keyword augmentation via generative methods
Haoran Shi, Zhibiao Rao, Yongning Wu, Zuohua Zhang, Chu Wang
2021
Search and information retrieval
Combining semantic search and twin product classification for recognition of purchasable items in voice shopping
Thu Le, Verena Weber, Melanie Bradford
2021
Conversational AI
Detect profane language in streaming services to protect young audiences
Jingxiang Chen, Kai Wei, Xiang Hao
2021
Conversational AI
Improving factual consistency of abstractive summarization on customer feedback
Yang Liu, Yifei Sun, Vincent Gao
2021
Machine learning
Personalized entity resolution with dynamic heterogeneous knowledge graph representations
Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Prem Natarajan
2021
Conversational AI
Scalable approach for normalizing e-commerce text attributes (SANTA)
Ravi Shankar Mishra, Kartik Mehta, Nikhil Rasiwasia
2021
Conversational AI
SupportNet: Neural networks for summary generation and key segment extraction from technical support tickets
Vinayshekhar Bannihatti Kumar, Mohan Yarramsetty, Sharon Sun, Anukul Goel
2021
Conversational AI
Unsupervised class-specific abstractive summarization of customer reviews
Anh Nguyen, Mingwei Shen, Karen Hovsepian
2021
Conversational AI
ACL-IJCNLP 2021 Workshop on Meta-Learning and its Applications to NLP
August 5
Amazon organizers: Shang-Wen Li, Din Jin, Annie Dong, Dilek Hakkani-Tur

Website: https://meta-nlp-2021.github.io/
Meta-learning for few-shot named entity recognition
Cyprien de Lichy, Hadrien Glaude, William M. Campbell
2021
Conversational AI
Soft layer selection with meta-learning for zero-shot cross-lingual transfer
Weijia Xu, Batool Haider, Jason Krone, Saab Mansour
2021
Conversational AI

Tutorials

Event-Centric Natural Language Understanding
July 31 - August 1
Amazon organizers: Dan Roth, Heng Ji, Qiang Ning, Kathleen McKeown

Website: https://2021.aclweb.org/tutorials/program/

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US, WA, Bellevue
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Economist, Prime Science
US, WA, Seattle
Amazon Prime is looking for an ambitious Economist to help create econometric insights for world-wide Prime. Prime is Amazon's premiere membership program, with over 200M members world-wide. This role is at the center of many major company decisions that impact Amazon's customers. These decisions span a variety of industries, each reflecting the diversity of Prime benefits. These range from fast-free e-commerce shipping, digital content (e.g., exclusive streaming video, music, gaming, photos), and grocery offerings. Prime Science creates insights that power these decisions. As an economist in this role, you will create statistical tools that embed causal interpretations. You will utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, time-series forecasting, experimentation), and machine-learning, to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, data professionals (business analysts, business intelligence engineers), product managers, and software engineers. You will create insights from descriptive statistics, as well as from novel statistical and econometric models. You will create internal-to-Amazon-facing automated scientific data products to power company decisions. You will write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers. These leaders will often include the senior-most leaders at Amazon. The team is unique in its exposure to company-wide strategies as well as senior leadership. It operates at the cutting-edge of utilizing data, econometrics, artificial intelligence, and machine-learning to form business strategies. A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, time-series, machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep-training in one area of econometrics. For example, many applications on the team use structural econometrics, machine-learning, and time-series forecasting. They rely on building scalable production software, which involves a broad set of world-class software-building skills often learned on-the-job. As a consequence, already-obtained knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track-record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors). Candidates must have very strong writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high-level of ambiguity. Endowed with these traits and on-the-job-growth, the role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Chicago, IL, USA | Seattle, WA, USA
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