| Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network | 0 | 0.34 | 2022 |
| A Deep Learning Based Sound Event Location and Detection Algorithm Using Convolutional Recurrent Neural Network | 0 | 0.34 | 2022 |
| CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark | 0 | 0.34 | 2022 |
| A Deep Learning Based Bluetooth Indoor Localization Algorithm by RSSI and AOA Feature Fusion | 0 | 0.34 | 2022 |
| CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. | 0 | 0.34 | 2022 |
| Deep learning driven real time topology optimisation based on initial stress learning | 0 | 0.34 | 2022 |
| On the Robustness of Reading Comprehension Models to Entity Renaming | 0 | 0.34 | 2022 |
| Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention | 0 | 0.34 | 2022 |
| A CNN based localization and activity recognition algorithm using multi-receiver CSI measurements and decision fusion | 0 | 0.34 | 2022 |
| RockNER - A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. | 0 | 0.34 | 2021 |
| Clinical Quantitative Information Recognition And Entity-Quantity Association From Chinese Electronic Medical Records | 0 | 0.34 | 2021 |
| Improving deep learning method for biomedical named entity recognition by using entity definition information | 0 | 0.34 | 2021 |
| Learning from Explanations with Neural Execution Tree | 0 | 0.34 | 2020 |
| Real-world data medical knowledge graph: construction and applications. | 5 | 0.58 | 2020 |
| Discovering thematic change and evolution of utilizing social media for healthcare research. | 0 | 0.34 | 2019 |
| Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding. | 0 | 0.34 | 2019 |
| Trends and Features of Human Brain Research Using Artificial Intelligence Techniques - A Bibliometric Approach. | 0 | 0.34 | 2019 |
| Learning Dual Retrieval Module for Semi-supervised Relation Extraction | 1 | 0.36 | 2019 |
| Applying Attention Mechanism and Deep Neural Network for Medical Object Segmentation and Classification in X-Ray Fluoroscopy Images. | 0 | 0.34 | 2019 |
| Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning. | 6 | 0.41 | 2018 |
| A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management. | 0 | 0.34 | 2018 |
| Hybrid Kernel Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization. | 1 | 0.35 | 2018 |
| A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017. | 0 | 0.34 | 2018 |
| Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory. | 0 | 0.34 | 2017 |
| Efficiently Answering Technical Questions - A Knowledge Graph Approach. | 6 | 0.39 | 2017 |
| Can Machines Intelligently Propose Novel and Reasonable Scientific Hypotheses? | 0 | 0.34 | 2017 |
| Active Sentiment Domain Adaptation | 0 | 0.34 | 2017 |
| Concept Embedded Convolutional Semantic Model for Question Retrieval. | 2 | 0.36 | 2017 |
| Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification. | 18 | 0.70 | 2017 |
| Sentence-level Sentiment Classification with Weak Supervision | 1 | 0.35 | 2017 |
| An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. | 1 | 0.35 | 2017 |
| Large-scale extraction of drug-disease pairs from the medical literature | 2 | 0.36 | 2017 |
| Unsupervised Head-Modifier Detection in Search Queries. | 0 | 0.34 | 2016 |
| Learning to Extract Conditional Knowledge for Question Answering using Dialogue | 4 | 0.40 | 2016 |
| LINE: Large-scale Information Network Embedding. | 846 | 19.83 | 2015 |
| Contextual Text Understanding in Distributional Semantic Space | 8 | 0.52 | 2015 |
| Acronym Disambiguation Using Word Embedding | 7 | 0.51 | 2015 |
| Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts | 7 | 0.42 | 2014 |
| Scalable and noise tolerant web knowledge extraction for search task simplification | 2 | 0.39 | 2013 |
| Internet advertising: theory and practice | 1 | 0.35 | 2013 |
| Towards Accurate Distant Supervision for Relational Facts Extraction. | 12 | 0.65 | 2013 |
| Learning open-domain comparable entity graphs from user search queries | 1 | 0.35 | 2013 |
| A novel local patch framework for fixing supervised learning models | 1 | 0.37 | 2012 |
| Learning to rank audience for behavioral targeting in display ads | 4 | 0.42 | 2011 |
| Multi-view random walk framework for search task discovery from click-through log | 6 | 0.46 | 2011 |
| Extract knowledge from semi-structured websites for search task simplification | 1 | 0.36 | 2011 |
| Sparse hidden-dynamics conditional random fields for user intent understanding | 16 | 0.64 | 2011 |
| Learning search tasks in queries and web pages via graph regularization | 18 | 0.70 | 2011 |
| Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks. | 5 | 0.48 | 2011 |
| Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction | 17 | 0.67 | 2011 |
