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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 59 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 Show details 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 Show details 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 Show details 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 BASE Show details 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; Hough, Alfred; Pinette, Brian; Seoh, Ronald; Tak, Mrinal. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.509/ Abstract: For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or even without any labels at all. However, existing aspect target sentiment classification (ATSC) models are not trainable if annotated datasets are not available. Even with labeled data, they fall short of reaching satisfactory performance. To address this, we propose simple approaches that better solve ATSC with natural language prompts, enabling the task under zero-shot cases and enhancing supervised settings, especially for few-shot cases. Under the few-shot setting for SemEval 2014 Task 4 laptop domain, our method of reformulating ATSC as an NLI task outperforms supervised SOTA approaches by up to 24.13 accuracy points and 33.14 macro F1 points. Moreover, we demonstrate that our prompts could handle implicitly stated aspects as well: our models reach ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/xy0p-qf26 https://underline.io/lecture/37815-open-aspect-target-sentiment-classification-with-natural-language-prompts BASE Hide details 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 Show details 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 Show details 8 End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Eger, Steffen. - : Underline Science Inc., 2021 BASE Show details 9 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 Show details 10 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 Show details 11 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 Show details 12 Perceived and Intended Sarcasm Detection with Graph Attention Networks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Flek, Lucie; Plepi, Joan. - : Underline Science Inc., 2021 BASE Show details 13 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 Show details 14 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 Show details 15 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 Show details 16 LMSOC: An Approach for Socially Sensitive Pretraining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Aria; Kulkarni, Vivek. - : Underline Science Inc., 2021 BASE Show details 17 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 Show details 18 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 Show details 19 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 Show details 20 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 Show details Page: 1 2 3

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