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Conversational agents such as Cortana, Alexa and Siri are continuously working on increasing their capabilities by adding new domains.
Audio De-identification: A New Entity Recognition Task
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, and Yossi Matias. 2019 · 1903
Earlier work this paper cites.
Exploring deep knowledge resources in biomedical name recognition. In Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications . Association for Computational Linguistics, 96–99
Zhou GuoDong and Su Jian. 2004 · 2004
Earlier work this paper cites.
A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of the 25th international conference on Machine learning . ACM, 160–167
Ronan Collobert and Jason Weston. 2008 · 2008
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems . 3111–3119
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Distributional Semantics Resources for Biomedical Text Processing. In Proceedings of LBM 2013 . 39–44
S. Pyysalo, F. Ginter, H. Moen, T. Salakoski, and S. Ananiadou. 2013 · 2013
Earlier work this paper cites.
HITSZ_CDR System for Disease and Chemical Named Entity Recognition and Relation Extraction. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. Sevilla: The fifth BioCreative challenge evaluation workshop , Vol. 2015. 196–201
Haodi Li, Qingcai Chen, Kai Chen, and Buzhou Tang. 2015 · 2015
Earlier work this paper cites.
TaggerOne: joint named entity recognition and normalization with semi-Markov Models
Robert Leaman and Zhiyong Lu. 2016 · 2016
Earlier work this paper cites.
A neural network multi-task learning approach to biomedical named entity recognition
Gamal Crichton, Sampo Pyysalo, Billy Chiu, and Anna Korhonen. 2017 · 2017
Earlier work this paper cites.
Deep learning with word embeddings improves biomedical named entity recognition
Maryam Habibi, Leon Weber, Mariana Neves, David Luis Wiegandt, and Ulf Leser. 2017 · 2017
Cited alongside, same era.
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, and Eric P Xing. 2017 · 2017
Cited alongside, same era.
Attention is all you need. In Advances in neural information processing systems . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, and Jiawei Han. 2018 · 2018
Later among the works it cites.
ConCET: Entity-aware topic classification for open-domain conversational agents. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1371–1380
Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi, and Eugene Agichtein. 2019 · 2019
Later among the works it cites.
Publicly available clinical BERT embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott. 2019 · 2019
Later among the works it cites.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath. 2019 · 2019
Later among the works it cites.
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Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Cited alongside, same era.
Enhancing Inquisitiveness of Chatbots Through NER Integration. In 2018 International Conference on Data Science and Engineering (ICDSE) . IEEE, 1–5
S Reshmi and Kannan Balakrishnan. 2018 · 2018
Cited alongside, same era.
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019 · 2019
Later among the works it cites.
Multi-task deep neural networks for natural language understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, and Jianfeng Gao. 2019 · 2019
Later among the works it cites.
healthcare Chatbot diagnosis
UserTesting.com. 2019 · 2019
Later among the works it cites.