Abeed Sarker
16 papers · 2013–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (21)
🏆
Keyword Champion
(3)
👥
Mega-Team · Squad
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Silver
💎
Century Club · Bronze
Top co-authors
Research topics
Natural Language Processing
(10)
Applications · Natural Language Processing
(10)
Deep Learning
(4)
Healthcare & Medicine
(4)
Machine Learning
(4)
Clinical
(4)
Core Methods
(4)
Interdisciplinary
(3)
Architectures
(3)
Social
(3)
Artificial Intelligence
(2)
Core AI
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Applications · Data Science & Analytics
(1)
Keywords
text classification
(9)
social media mining
(7)
named entity recognition
(5)
shared task
(3)
health informatics
(3)
sentiment analysis
(2)
large language model
(2)
natural language processing
(2)
adverse drug reaction
(2)
health information extraction
(2)
health nlp
(2)
model ensemble
(1)
topic modeling
(1)
pre-trained language model
(1)
support vector machine
(1)
sparse vectors
(1)
in-context learning
(1)
breast cancer
(1)
disease surveillance
(1)
social media
(1)
Papers
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction
NAACL 2024
Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP
ACL 2024
Unveiling Voices: Identification of Concerns in a Social Media Breast Cancer Cohort via Natural Language Processing
COLING 2024
SocBERT: A Pretrained Model for Social Media Text
EACL 2023
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
COLING 2022
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021
NAACL 2021
Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications
NAACL 2021
Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification
EMNLP 2020
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020
COLING 2020
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019
ACL 2019
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018
EMNLP 2018
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task
EMNLP 2018
HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors
SemEval 2017
DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons
SemEval 2016
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
SemEval 2015
Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification
IJCNLP 2013