Suraj Maharjan
12 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (8) π Cross-Pollinator (13) π Renaissance Researcher (6)
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Academic Marathon
(8)
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Cross-Pollinator
(13)
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Renaissance Researcher
(6)
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Topic Evolution
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Century Club
(11)
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Keyword Collector
(51)
Conferences
EACL (3)
ACL (2)
COLING (2)
NAACL (2)
SEMEVAL (2)
EMNLP (1)
Top co-authors
Keywords
feature engineering
(3)
text classification
(2)
recurrent neural network
(2)
sentiment analysis
(2)
code-mixed text
(2)
lexical feature
(2)
machine unlearning
(1)
language identification
(1)
multi-task learning
(1)
text generation
(1)
social media analysis
(1)
natural language understanding
(1)
sequence labeling
(1)
attention mechanism
(1)
speaker verification
(1)
multitask learning
(1)
emotion detection
(1)
feature weighting
(1)
self-supervised learning
(1)
few-shot learning
(1)
Papers
Feedback-Aware Prompt Optimization Framework for Generating Job Postings
EACL 2026
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
NAACL 2025
Scalable Prompt Generation for Semi-supervised Learning with Language Models
EACL 2023
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering
COLING 2020
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering
SEMEVAL 2020
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
EMNLP 2018
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network
COLING 2018
Language Identification and Analysis of Code-Switched Social Media Text
ACL 2018
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
NAACL 2018
RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks
SEMEVAL 2017
A Multi-task Approach to Predict Likability of Books
EACL 2017