Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Efficient adverse drug event extraction using Twitter sentiment analysis
Towards large-scale twitter mining for drug-related adverse events
Detecting Signals of Adverse Drug Reactions from Health Consumer Contributed Content in Social Media
Mining Frequency of Drug Side Effects over a Large Twitter Dataset Using Apache Spark
Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms
A Simple Bayesian Modelling Approach to Event Extraction from Twitter
Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams
Cadec: A corpus of adverse drug event annotations
An Overview of Event Extraction from Twitter
Mining pharmaceutical spam from Twitter
Monitoring Public Health Concerns Using Twitter Sentiment Classifications
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models.
Extracting Events and Event Descriptions from Twitter
Open domain event extraction from twitter
Text and Data Mining Techniques in Adverse Drug Reaction Detection
Raimond: Quantitative Data Extraction from Twitter to Describe Events
Automatic Keyword Extraction on Twitter
Graph-based Event Extraction from Twitter
Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums
Seasonal Affective Disorder
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling
Multiple-Query Optimization of Regular Path Queries
Latent Dirichlet Allocation
Support-vector networks