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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (42)
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Hits 1 – 20 of 42
1
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Pétur O.
;
Jónsson, Haukur P.
. - : Underline Science Inc., 2021
BASE
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2
Detecting Gender Bias using Explainability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Krithika
;
Gupta, Gauri
. - : Underline Science Inc., 2021
BASE
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3
Characterizing Test Anxiety on Social Media ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Julka, Esha
;
Kowalishin, Olivia
. - : Underline Science Inc., 2021
BASE
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4
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ong, Desmond
;
Suresh, Varsha
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.359/ Abstract: Fine-grained classification involves dealing with datasets with larger number of classes with subtle differences between them. Guiding the model to focus on differentiating dimensions between these commonly confusable classes is key to improving performance on fine-grained tasks. In this work, we analyse the contrastive fine-tuning of pre-trained language models on two fine-grained text classification tasks, emotion classification, and sentiment analysis. We adaptively embed class relationships into a contrastive objective function to help differently weigh the positives and negatives, and in particular, weighting closely confusable negatives more than less similar negative examples. We find that Label-aware Contrastive Loss outperforms previous contrastive methods, in the presence of larger number and/or more confusable classes, and helps models to produce output distributions that are more differentiated. ...
Keyword:
Computational Linguistics
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
;
Sentiment Analysis
URL:
https://dx.doi.org/10.48448/ywz3-2188
https://underline.io/lecture/38032-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 ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Birle, Ian
;
Chang, Haw-Shiuan
. - : Underline Science Inc., 2021
BASE
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6
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Maneriker, Pranav
. - : Underline Science Inc., 2021
BASE
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7
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Durrett, Greg
;
Nair, Rohan
. - : Underline Science Inc., 2021
BASE
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8
Solving Aspect Category Sentiment Analysis as a Text Generation Task ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Liu, Jian
. - : Underline Science Inc., 2021
BASE
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9
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ke, Zixuan
;
Liu, Bing
. - : Underline Science Inc., 2021
BASE
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10
Improving Multimodal fusion via Mutual Dependency Maximisation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chapuis, Emile
;
Clavel, Chloé
. - : Underline Science Inc., 2021
BASE
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11
Does Commonsense help in detecting Sarcasm? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Basu Roy Chowdhury, Somnath
;
Chaturvedi, Snigdha
. - : Underline Science Inc., 2021
BASE
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12
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Guimin
;
qin, han
. - : Underline Science Inc., 2021
BASE
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13
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chandrasekaran, Arjun
;
Clark, Peter
. - : Underline Science Inc., 2021
BASE
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14
Towards Label-Agnostic Emotion Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Buechel, Sven
;
Hahn, Udo
. - : Underline Science Inc., 2021
BASE
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15
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Christiansen, Jonathan Gabel
;
Gammelgaard, Mathias Lykke
. - : Underline Science Inc., 2021
BASE
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16
Multimodal Phased Transformer for Sentiment Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cheng, Junyan
;
Fostiropoulos, Iordanis
. - : Underline Science Inc., 2021
BASE
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17
MATE: Multi-view Attention for Table Transformer Efficiency ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cohen, William
;
Eisenschlos, Julian
. - : Underline Science Inc., 2021
BASE
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18
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bao, Jianzhu
;
Liang, Bin
. - : Underline Science Inc., 2021
BASE
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19
Classifying Dyads for Militarized Conflict Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ahbab, Samin
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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20
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ju, Xincheng
. - : Underline Science Inc., 2021
BASE
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