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1
Detecting Gender Bias using Explainability ...
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2
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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3
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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4
Solving Aspect Category Sentiment Analysis as a Text Generation Task ...
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5
Improving Multimodal fusion via Mutual Dependency Maximisation ...
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6
Does Commonsense help in detecting Sarcasm? ...
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7
LMSOC: An Approach for Socially Sensitive Pretraining ...
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8
Comparative Opinion Quintuple Extraction from Product Reviews ...
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9
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction ...
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10
Dimensional Emotion Detection from Categorical Emotion ...
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11
Adverse Drug Reaction Classification of Tweets with Fusion of Text and Drug Representations ...
Abstract: In this paper, we focus on the classification of tweets as sources of potential signals for adverse drug effects. Following the intuition that text and drug structure representations are complementary, we introduce a multimodal model with two components. These components are state-of-the-art BERT-based models for language understanding and molecular property prediction. Experiments were carried out on multilingual benchmarks of the Social Media Mining for Health Research and Applications (#SMM4H) initiative. Our models obtained state-of-the-art results of 0.61 F1-measure and 0.57 F1-measure on #SMM4H 2021 Shared Tasks 1a and 2 in English and Russian, respectively. On the classification of French tweets from SMM4H 2020 Task 1, our approach pushes the state of the art by an absolute gain of 8% F1. Our experiments show that the molecular information obtained from neural networks is more beneficial for ADE classification than traditional molecular descriptors. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network; Sentiment Analysis
URL: https://dx.doi.org/10.48448/vk6q-q904
https://underline.io/lecture/39695-adverse-drug-reaction-classification-of-tweets-with-fusion-of-text-and-drug-representations
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12
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training ...
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13
Monolingual Pre-Trained Language Models for Tigrinya ...
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