V.G.Vinod Vydiswaran
14 papers · 2009–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Gold 🧬 Topic Evolution
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Keyword Champion
(3)
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Keyword Collector
(51)
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Unstoppable · Bronze
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Natural Language Processing
(9)
Artificial Intelligence
(6)
Deep Learning
(6)
Machine Learning
(6)
Architectures
(5)
Core AI
(5)
Healthcare & Medicine
(4)
Application Areas
(4)
Applications
(4)
Clinical
(4)
Understanding
(4)
Learning Types · Machine Learning
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Keywords
named entity recognition
(6)
text classification
(6)
adverse drug event
(3)
natural language inference
(2)
deep learning
(2)
bert model
(2)
large language model
(2)
social media mining
(2)
transfer learning
(2)
data augmentation
(1)
rationale extraction
(1)
natural language processing
(1)
explanation generation
(1)
natural language understanding
(1)
text summarization
(1)
parameter efficient
(1)
text generation
(1)
language understanding
(1)
efficient computing
(1)
machine reading comprehension
(1)
Papers
712forTask7 at #SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models
ACL 2024
Handling Name Errors of a BERT-Based De-Identification System: Insights from Stratified Sampling and Markov-based Pseudonymization
EACL 2024
Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC
EMNLP 2024
LHS712_ADENotGood at #SMM4H 2024 Task 1: Deep-LLMADEminer: A deep learning and LLM pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
ACL 2024
LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use
ACL 2024
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles
ACL 2023
IDPG: An Instance-Dependent Prompt Generation Method
NAACL 2022
LIREx: Augmenting Language Inference with Relevant Explanations
AAAI 2021
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
COLING 2020
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
EMNLP 2020
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation
ACL 2019
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
ACL 2019
“Ask Not What Textual Entailment Can Do for You...”
ACL 2010
A Framework for Entailed Relation Recognition
ACL 2009