Issues
- 1
W19-5026: Is artificial data useful for biomedical Natural Language Processing algorithms?
#76 opened by iBotamon - 1
W19-5037: Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
#87 opened by iBotamon - 1
W19-5012: A distantly supervised dataset for automated data extraction from diagnostic studies
#62 opened by iBotamon - 1
W19-5038: Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications
#88 opened by iBotamon - 1
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W19-5017: First Steps towards Building a Medical Lexicon for Spanish with Linguistic and Semantic Information
#67 opened by iBotamon - 1
W19-5015: A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
#65 opened by iBotamon - 1
W19-5014: Enhancing biomedical word embeddings by retrofitting to verb clusters
#64 opened by iBotamon - 1
W19-5013: Query selection methods for automated corpora construction with a use case in food-drug interactions
#63 opened by iBotamon - 1
W19-5011: RNN Embeddings for Identifying Difficult to Understand Medical Words
#61 opened by iBotamon - 1
W19-5034: ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
#84 opened by iBotamon - 0
W19-5059: ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System
#109 opened by iBotamon - 0
W19-5058: NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model
#108 opened by iBotamon - 0
W19-5057: LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition
#107 opened by iBotamon - 0
W19-5056: IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
#106 opened by iBotamon - 0
W19-5055: Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
#105 opened by iBotamon - 0
W19-5054: UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
#104 opened by iBotamon - 0
W19-5053: UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain
#103 opened by iBotamon - 0
W19-5052: MSIT_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.
#102 opened by iBotamon - 0
W19-5051: ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge
#101 opened by iBotamon - 0
W19-5050: IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier
#100 opened by iBotamon - 0
W19-5049: Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment
#99 opened by iBotamon - 0
W19-5048: Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
#98 opened by iBotamon - 0
W19-5047: DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering
#97 opened by iBotamon - 0
W19-5046: DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering
#96 opened by iBotamon - 0
W19-5045: KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI
#95 opened by iBotamon - 0
W19-5044: WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference
#94 opened by iBotamon - 0
W19-5043: Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
#93 opened by iBotamon - 0
W19-5042: DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
#92 opened by iBotamon - 0
W19-5041: Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment
#91 opened by iBotamon - 0
W19-5040: PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation
#90 opened by iBotamon - 0
W19-5039: Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
#89 opened by iBotamon - 0
W19-5036: Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning
#86 opened by iBotamon - 0
W19-5035: Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
#85 opened by iBotamon - 0
W19-5033: Simplification-induced transformations: typology and some characteristics
#83 opened by iBotamon - 0
W19-5032: Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
#82 opened by iBotamon - 0
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W19-5029: Clinical Case Reports for NLP
#79 opened by iBotamon - 0
- 0
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W19-5025: Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives?
#75 opened by iBotamon - 0
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W19-5023: Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
#73 opened by iBotamon - 0
W19-5022: Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms
#72 opened by iBotamon - 0
W19-5021: Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions
#71 opened by iBotamon - 0
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W19-5018: Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing
#68 opened by iBotamon - 0
W19-5016: Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns
#66 opened by iBotamon