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PROGRAM
Mon 07 Jun 2021 (all times PDT, UTC-7) | |
| 09:00–10:20 IND1-Oral: Dialogue (Industry Track) | |
| When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi and Chris Quirk | |
| Identifying and Resolving Annotation Changes for Natural Language Understanding Jose Garrido Ramas, Giorgio Pessot, Abdalghani Abujabal and Martin Rajman | |
| Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu and Yang Liu | |
| Entity Resolution in Open-domain Conversations Mingyue Shang, Tong Wang, Mihail Eric, Jiangning Chen, Jiyang Wang, Matthew Welch, Tiantong Deng, Akshay Grewal, Han Wang, Yue Liu, Yang Liu and Dilek Hakkani-Tur | |
| Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting Manisha Srivastava, Yichao Lu, Riley Peschon and Chenyang Li | |
| Contextual Domain Classification with Temporal Representations Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza and Chengwei Su | |
| 10:20–11:40 IND2-Oral: Spoken Dialogue (Industry Track) | |
| Bootstrapping a Music Voice Assistant with Weak Supervision Sergio Oramas, Massimo Quadrana and Fabien Gouyon | |
| Continuous Model Improvement for Language Understanding with Machine Translation Abdalghani Abujabal, Claudio Delli Bovi, Sungho Ryu, Turan Gojayev, Fabian Triefenbach and Yannick Versley | |
| A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents Ryan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen, Yanjie Zhao and Srinivas Bangalore | |
| Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba and Javier Latorre | |
| 13:00–14:00 Industry Panel | |
| Startups in NLP Alon Lavie, Spence Green, Nasrin Mostafazadeh, Apoorv Agarwal, Kieran Snyder | |
| 18:20–19:40 IND3-Oral: Machine Translation (Industry Track) | |
| Addressing the Vulnerability of NMT in Input Perturbations Weiwen Xu, Ai Ti Aw, Yang Ding, Kui Wu and Shafiq Joty | |
| Cross-lingual Supervision Improves Unsupervised Neural Machine Translation Mingxuan Wang, Hongxiao Bai, Lei Li and Hai Zhao | |
| Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification chanjun park, Sugyeong Eo, Hyeonseok Moon and Heuiseok Lim | |
| Autocorrect in the Process of Translation — Multi-task Learning Improves Dialogue Machine Translation Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li and Deyi Xiong | |
| LightSeq: A High Performance Inference Library for Transformers Xiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Wang and Lei Li | |
| Practical Transformer-based Multilingual Text Classification Cindy Wang and Michele Banko | |
| 19:40–21:00 IND4-Oral: Sentiment Analysis and Information Retrieval (Industry Track) | |
| An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots Shuangyong Song, Chao Wang, Haiqing Chen and Huan Chen | |
| Language Scaling for Universal Suggested Replies Model Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang and Daxin Jiang | |
| Graph-based Multilingual Product Retrieval in E-Commerce Search Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song and Bing Yin | |
| Query2Prod2Vec: Grounded Word Embeddings for eCommerce Federico Bianchi, Jacopo Tagliabue and Bingqing Yu | |
| An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models Amir Ganiev, Colton Chapin, Anderson De Andrade and Chen Liu | |
| When and Why a Model Fails? A Human-in-the-loop Error Detection Framework for Sentiment Analysis Zhe Liu, Yufan Guo and Jalal Mahmud | |
Tue 08 Jun 2021 (all times PDT, UTC-7) | |
| 09:00–10:20 IND5-Oral: Semantics (Industry Track) | |
| Technical Question Answering across Tasks and Domains Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven and Meng Jiang | |
| Cost-effective Deployment of BERT Models in Serverless Environment Marek Suppa, Katarína Benešová and Andrej Švec | |
| Noise Robust Named Entity Understanding for Voice Assistants Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Justine Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D Williams and Lin Li | |
| Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems Karan Goel, Laurel Orr, Nazneen Fatema Rajani, Jesse Vig and Christopher Ré | |
| Intent Features for Rich Natural Language Understanding Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad and Srinivas Bangalore | |
| Development of an Enterprise-Grade Contract Understanding System Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski and Huaiyu Zhu | |
| 13:00–14:00 Industry Panel | |
| Careers in NLP Philip Resnik, Jimmy Lin, Mona Diab, Isabelle Augenstein, Sebastian Ruder | |
Wed 09 Jun 2021 (all times PDT, UTC-7) | |
| 08:00–09:00 Keynote | |
| Project Debater – From Grand Challenge to Business Applications, Behind the Scenes and Lessons Learned Aya Soffer | |
| 16:00–17:00 Keynote | |
| Semantic Scholar – Advanced NLP to Accelerate Scientific Research Dan Weld | |
| 18:20–19:40 IND6-Oral: Natural Language Generation and Dialogue (Industry Track) | |
| Discovering Better Model Architectures for Medical Query Understanding Wei Zhu, Yuan Ni, Xiaoling Wang and Guotong Xie | |
| OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation Petr Marek, Vishal Ishwar Naik, Anuj Goyal and Vincent Auvray | |
| Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States Litton J Kurisinkel, Ai Ti Aw and Nancy F Chen | |
| An Empirical Study of Generating Texts for Search Engine Advertising Hidetaka Kamigaito, Peinan Zhang, Hiroya Takamura and Manabu Okumura | |
| Ad Headline Generation using Self-Critical Masked Language Model Yashal Shakti Kanungo, Sumit Negi and Aruna Rajan | |
| 19:40–21:00 IND7-Oral: Machine Learning (Industry Track) | |
| LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes Kartik Mehta, Ioana Oprea and Nikhil Rasiwasia | |
| Training Language Models under Resource Constraints for Adversarial Advertisement Detection Eshwar Shamanna Girishekar, Shiv Surya, Nishant Nikhil, Dyut Kumar Sil, Sumit Negi and Aruna Rajan | |
| Combining Weakly Supervised ML Techniques for Low-Resource NLU Victor Soto and Konstantine Arkoudas | |
| Label-Guided Learning for Item Categorization in e-Commerce Lei Chen and Hirokazu Miyake | |
| Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu and Saloni Potdar | |
| Industry Scale Semi-Supervised Learning for Natural Language Understanding Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie and Jianhua Lu | |