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v1v2v3v4v5v6 (latest)

BioSentVec: creating sentence embeddings for biomedical texts

22 October 2018

Qingyu Chen

Yifan Peng

Zhiyong Lu

ArXiv (abs)PDF HTML Github (593★)

Papers citing "BioSentVec: creating sentence embeddings for biomedical texts"

20 / 70 papers shown

Title
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2020 Usman Naseem Matloob Khushi V. Reddy S. Rajendran Imran Razzak Jinman Kim 113 71 0 19 Sep 2020
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition Leon Weber Mario Sanger Jannes Munchmeyer Maryam Habibi Ulf Leser Alan Akbik 168 100 0 17 Aug 2020
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 Junyan Wu Hao Jiang Xiaowei Ding A. Konda Jin Han Yang Zhang Qian Li 107 11 0 13 Jul 2020
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network Shaoqing Yuan Parminder Bhatia B. Celikkaya Haiyang Liu Kyunghwan Choi 121 3 0 17 Jun 2020
CORD-19: The COVID-19 Open Research Dataset Lucy Lu Wang Kyle Lo Yoganand Chandrasekhar Russell Reas Jiangjiang Yang ... Boya Xie Douglas A. Raymond Daniel S. Weld Oren Etzioni Sebastian Kohlmeier 303 846 0 22 Apr 2020
Analysing the Extent of Misinformation in Cancer Related TweetsInternational Conference on Web and Social Media (ICWSM), 2020 Rakesh Bal S. Sinha Swastika Dutta Risabh Joshi Sayan Ghosh Ritam Dutt 143 28 0 30 Mar 2020
Named Entities in Medical Case Reports: Corpus and ExperimentsInternational Conference on Language Resources and Evaluation (LREC), 2020 Sarah Schulz Jurica vSeva Samuel Rodriguez Malte Ostendorff Georg Rehm 134 9 0 29 Mar 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!AAAI Conference on Artificial Intelligence (AAAI), 2020 Claudia Schulz Damir Juric AI4TS 123 10 0 24 Mar 2020
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale Qingyu Chen Kyubum Lee Shankai Yan Sun Kim Chih-Hsuan Wei Zhiyong Lu 212 52 0 23 Dec 2019
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2019 Trapit Bansal Pat Verga Neha Choudhary Andrew McCallum 121 7 0 02 Dec 2019
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles Emeric Dynomant Stéfan J. Darmoni Émeline Lejeune G. Kerdelhué J. Leroy Vincent Lequertier S. Canu Julien Grosjean 97 8 0 26 Nov 2019
Active $^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation Rishi Hazra Parag Dutta Shubham Gupta Mohammed Abdul Qaathir Ambedkar Dukkipati VLM 160 0 0 01 Nov 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized EmbeddingsConference on Natural Language Processing (NLP), 2019 Gregor Wiedemann Steffen Remus Avi Chawla Chris Biemann 233 191 0 23 Sep 2019
Using Clinical Notes with Time Series Data for ICU ManagementConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Swaraj Khadanga Karan Aggarwal Shafiq Joty Jaideep Srivastava 139 67 0 12 Sep 2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical recordsBMC Medical Informatics and Decision Making (BMC Med Inform Decis Mak), 2019 Qingyu Chen Jingcheng Du Sun Kim W. Wilbur Zhiyong Lu 83 26 0 06 Sep 2019
Learning Conceptual-Contextual Embeddings for Medical TextAAAI Conference on Artificial Intelligence (AAAI), 2019 Xiao Zhang Dejing Dou Ji Wu BDL 210 17 0 16 Aug 2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets Yifan Peng Shankai Yan Zhiyong Lu LM&MA AI4MH 289 922 0 13 Jun 2019
A self-attention based deep learning method for lesion attribute detection from CT reportsIEEE International Conference on Healthcare Informatics (ICHI), 2019 Yifan Peng Ke Yan V. Sandfort Ronald M. Summers Zhiyong Lu MedIm 55 18 0 30 Apr 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 117 71 0 09 Apr 2019
ML-Net: multi-label classification of biomedical texts with deep neural networks Jingcheng Du Qingyu Chen Yifan Peng Yang Xiang Cui Tao Zhiyong Lu 256 144 0 13 Nov 2018

v1v2v3v4v5v6 (latest)

BioSentVec: creating sentence embeddings for biomedical texts

22 October 2018

Qingyu Chen

Yifan Peng

Zhiyong Lu

ArXiv (abs)PDF HTML Github (593★)

Papers citing "BioSentVec: creating sentence embeddings for biomedical texts"

20 / 70 papers shown

Title
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2020 Usman Naseem Matloob Khushi V. Reddy S. Rajendran Imran Razzak Jinman Kim 113 71 0 19 Sep 2020
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition Leon Weber Mario Sanger Jannes Munchmeyer Maryam Habibi Ulf Leser Alan Akbik 168 100 0 17 Aug 2020
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 Junyan Wu Hao Jiang Xiaowei Ding A. Konda Jin Han Yang Zhang Qian Li 107 11 0 13 Jul 2020
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network Shaoqing Yuan Parminder Bhatia B. Celikkaya Haiyang Liu Kyunghwan Choi 121 3 0 17 Jun 2020
CORD-19: The COVID-19 Open Research Dataset Lucy Lu Wang Kyle Lo Yoganand Chandrasekhar Russell Reas Jiangjiang Yang ... Boya Xie Douglas A. Raymond Daniel S. Weld Oren Etzioni Sebastian Kohlmeier 303 846 0 22 Apr 2020
Analysing the Extent of Misinformation in Cancer Related TweetsInternational Conference on Web and Social Media (ICWSM), 2020 Rakesh Bal S. Sinha Swastika Dutta Risabh Joshi Sayan Ghosh Ritam Dutt 143 28 0 30 Mar 2020
Named Entities in Medical Case Reports: Corpus and ExperimentsInternational Conference on Language Resources and Evaluation (LREC), 2020 Sarah Schulz Jurica vSeva Samuel Rodriguez Malte Ostendorff Georg Rehm 134 9 0 29 Mar 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!AAAI Conference on Artificial Intelligence (AAAI), 2020 Claudia Schulz Damir Juric AI4TS 123 10 0 24 Mar 2020
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale Qingyu Chen Kyubum Lee Shankai Yan Sun Kim Chih-Hsuan Wei Zhiyong Lu 212 52 0 23 Dec 2019
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2019 Trapit Bansal Pat Verga Neha Choudhary Andrew McCallum 121 7 0 02 Dec 2019
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles Emeric Dynomant Stéfan J. Darmoni Émeline Lejeune G. Kerdelhué J. Leroy Vincent Lequertier S. Canu Julien Grosjean 97 8 0 26 Nov 2019
Active $^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation Rishi Hazra Parag Dutta Shubham Gupta Mohammed Abdul Qaathir Ambedkar Dukkipati VLM 160 0 0 01 Nov 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized EmbeddingsConference on Natural Language Processing (NLP), 2019 Gregor Wiedemann Steffen Remus Avi Chawla Chris Biemann 233 191 0 23 Sep 2019
Using Clinical Notes with Time Series Data for ICU ManagementConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Swaraj Khadanga Karan Aggarwal Shafiq Joty Jaideep Srivastava 139 67 0 12 Sep 2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical recordsBMC Medical Informatics and Decision Making (BMC Med Inform Decis Mak), 2019 Qingyu Chen Jingcheng Du Sun Kim W. Wilbur Zhiyong Lu 83 26 0 06 Sep 2019
Learning Conceptual-Contextual Embeddings for Medical TextAAAI Conference on Artificial Intelligence (AAAI), 2019 Xiao Zhang Dejing Dou Ji Wu BDL 210 17 0 16 Aug 2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets Yifan Peng Shankai Yan Zhiyong Lu LM&MA AI4MH 289 922 0 13 Jun 2019
A self-attention based deep learning method for lesion attribute detection from CT reportsIEEE International Conference on Healthcare Informatics (ICHI), 2019 Yifan Peng Ke Yan V. Sandfort Ronald M. Summers Zhiyong Lu MedIm 55 18 0 30 Apr 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 117 71 0 09 Apr 2019
ML-Net: multi-label classification of biomedical texts with deep neural networks Jingcheng Du Qingyu Chen Yifan Peng Yang Xiang Cui Tao Zhiyong Lu 256 144 0 13 Nov 2018