Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction
An attention-based effective neural model for drug-drug interactions extraction
A Review of Relation Classification with Convolutional Neural Network
Embedding Semantic Relations into Word Representations
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics
A Survey of Deep Learning Methods for Relation Extraction
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network
Clinical Concept Extraction with Contextual Word Embedding
Representation Learning of Drug and Disease Terms for Drug Repositioning
Entity recognition from clinical texts via recurrent neural network
Extracting Drug-Drug Interactions with Attention CNNs
ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition
An exploration of semantic relations in neural word embeddings using extrinsic knowledge
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Exploiting Shallow Linguistic Information For Relation Extraction From Biomedical Literature
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
Deep learning with word embeddings improves biomedical named entity recognition
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Neural Relation Classification with Text Descriptions
Least-squares migration in the presence of velocity errors
AfterQC: automatic filtering, trimming, error removing and quality control for fastq data
A low power IoT network for smart agriculture
Distant Supervision for Cancer Pathway Extraction from Text
Botnet detection via mining of traffic flow characteristics