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1
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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2
Detecting Gender Bias using Explainability ...
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3
Characterizing Test Anxiety on Social Media ...
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4
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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5
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
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6
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
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7
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.447/ Abstract: When a model attribution technique highlights a particular part of the input, a user might understand this highlight as making a statement about counterfactuals (Miller, 2019): if that part of the input were to change, the model's prediction might change as well. This paper investigates how well different attribution techniques align with this assumption on realistic counterfactuals in the case of reading comprehension (RC). RC is a particularly challenging test case, as token-level attributions that have been extensively studied in other NLP tasks such as sentiment analysis are less suitable to represent the reasoning that RC models perform. We construct counterfactual sets for three different RC settings, and through heuristics that can connect attribution methods' outputs to high-level model behavior, we can evaluate how useful different attribution methods and even different formats are for understanding counterfactuals. We ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/rxrd-6468
https://underline.io/lecture/37547-connecting-attributions-and-qa-model-behavior-on-realistic-counterfactuals
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8
Solving Aspect Category Sentiment Analysis as a Text Generation Task ...
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9
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ...
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10
Improving Multimodal fusion via Mutual Dependency Maximisation ...
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11
Does Commonsense help in detecting Sarcasm? ...
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12
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories ...
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13
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI ...
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14
Towards Label-Agnostic Emotion Embeddings ...
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15
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
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16
Multimodal Phased Transformer for Sentiment Analysis ...
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17
MATE: Multi-view Attention for Table Transformer Efficiency ...
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18
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph ...
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19
Classifying Dyads for Militarized Conflict Analysis ...
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20
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ...
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