Abstract is missing.
- When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messagesStojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk. 1-9 [doi]
- Identifying and Resolving Annotation Changes for Natural Language UnderstandingJose Garrido Ramas, Giorgio Pessot, Abdalghani Abujabal, Martin Rajman. 10-18 [doi]
- Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog SystemsTong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu. 19-25 [doi]
- Entity Resolution in Open-domain ConversationsMingyue Shang, Tong Wang, Mihail Eric, Jiangning Chen, Jiyang Wang, Matthew Welch, Tiantong Deng, Akshay Grewal, Han Wang, Yue Liu, Yang Liu, Dilek Hakkani-Tur. 26-33 [doi]
- Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World SettingManisha Srivastava, Yichao Lu, Riley Peschon, Chenyang Li. 34-40 [doi]
- Contextual Domain Classification with Temporal RepresentationsTzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su. 41-48 [doi]
- Bootstrapping a Music Voice Assistant with Weak SupervisionSergio Oramas, Massimo Quadrana, Fabien Gouyon. 49-55 [doi]
- Continuous Model Improvement for Language Understanding with Machine TranslationAbdalghani Abujabal, Claudio Delli Bovi, Sungho Ryu, Turan Gojayev, Fabian Triefenbach, Yannick Versley. 56-62 [doi]
- A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual AgentsRyan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen, Yanjie Zhao, Srinivas Bangalore. 63-71 [doi]
- Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech SystemsShubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba, Javier Latorre. 72-79 [doi]
- Addressing the Vulnerability of NMT in Input PerturbationsWeiwen Xu, Ai Ti Aw, Yang Ding, Kui Wu 0004, Shafiq R. Joty. 80-88 [doi]
- Cross-lingual Supervision Improves Unsupervised Neural Machine TranslationMingxuan Wang, Hongxiao Bai, Lei Li 0005, Hai Zhao. 89-96 [doi]
- Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model ModificationChanjun Park, Sugyeong Eo, Hyeonseok Moon, HeuiSeok Lim. 97-104 [doi]
- Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine TranslationTao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li 0005, Deyi Xiong. 105-112 [doi]
- LightSeq: A High Performance Inference Library for TransformersXiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Wang, Lei Li 0005. 113-120 [doi]
- Practical Transformer-based Multilingual Text ClassificationCindy Wang, Michele Banko. 121-129 [doi]
- An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service ChatbotsShuangyong Song, Chao Wang 0057, Haiqing Chen, Huan Chen. 130-137 [doi]
- Language Scaling for Universal Suggested Replies ModelQianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang. 138-145 [doi]
- Graph-based Multilingual Product Retrieval in E-Commerce SearchHanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin. 146-153 [doi]
- Query2Prod2Vec: Grounded Word Embeddings for eCommerceFederico Bianchi, Jacopo Tagliabue, Bingqing Yu. 154-162 [doi]
- An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language ModelsAmir Ganiev, Colton Chapin, Anderson de Andrade, Chen Liu. 163-169 [doi]
- When and Why a Model Fails? A Human-in-the-loop Error Detection Framework for Sentiment AnalysisZhe Liu 0002, Yufan Guo, Jalal Mahmud. 170-177 [doi]
- Technical Question Answering across Tasks and DomainsWenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang 0001. 178-186 [doi]
- Cost-effective Deployment of BERT Models in Serverless EnvironmentMarek Suppa, Katarína Benesová, Andrej Svec. 187-195 [doi]
- Noise Robust Named Entity Understanding for Voice AssistantsDeepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Justine T. 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, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams, Lin Li. 196-204 [doi]
- Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking SystemsKaran Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré. 205-213 [doi]
- Intent Features for Rich Natural Language UnderstandingBrian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore. 214-221 [doi]
- Development of an Enterprise-Grade Contract Understanding SystemArvind 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, Huaiyu Zhu. 222-229 [doi]
- Discovering Better Model Architectures for Medical Query UnderstandingWei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie. 230-237 [doi]
- OodGAN: Generative Adversarial Network for Out-of-Domain Data GenerationPetr Marek, Vishal Ishwar Naik, Anuj Goyal, Vincent Auvray. 238-245 [doi]
- Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence StatesLitton J. Kurisinkel, Ai Ti Aw, Nancy F. Chen. 246-254 [doi]
- An Empirical Study of Generating Texts for Search Engine AdvertisingHidetaka Kamigaito, Peinan Zhang, Hiroya Takamura, Manabu Okumura. 255-262 [doi]
- Ad Headline Generation using Self-Critical Masked Language ModelYashal Shakti Kanungo, Sumit Negi, Aruna Rajan. 263-271 [doi]
- LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric AttributesKartik Mehta, Ioana Oprea, Nikhil Rasiwasia. 272-279 [doi]
- Training Language Models under Resource Constraints for Adversarial Advertisement DetectionEshwar Shamanna Girishekar, Shiv Surya, Nishant Nikhil, Dyut Kumar Sil, Sumit Negi, Aruna Rajan. 280-287 [doi]
- Combining Weakly Supervised ML Techniques for Low-Resource NLUVictor Soto, Konstantine Arkoudas. 288-295 [doi]
- Label-Guided Learning for Item Categorization in e-CommerceLei Chen, Hirokazu Miyake. 296-303 [doi]
- Benchmarking Commercial Intent Detection Services with Practice-Driven EvaluationsHaode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar. 304-310 [doi]
- Industry Scale Semi-Supervised Learning for Natural Language UnderstandingLuoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu. 311-318 [doi]