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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 Hits 1 – 20 of 28 1 How does the pre-training objective affect what large language models learn about linguistic properties? ... Alajrami, Ahmed; Aletras, Nikolaos. - : arXiv, 2022 BASE Show details 2 Automatic Identification and Classification of Bragging in Social Media ... Jin, Mali; Preoţiuc-Pietro, Daniel; Doğruöz, A. Seza. - : arXiv, 2022 BASE Show details 3 Analyzing Online Political Advertisements ... Villegas, Danae Sánchez; Mokaram, Saeid; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 4 Modeling the Severity of Complaints in Social Media ... Jin, Mali; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 5 Translation Error Detection as Rationale Extraction ... Fomicheva, Marina; Specia, Lucia; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 6 Knowledge Distillation for Quality Estimation ... Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : arXiv, 2021 BASE Show details 7 Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ... Yamaguchi, Atsuki; Chrysostomou, George; Margatina, Katerina. - : arXiv, 2021 BASE Show details 8 Analyzing Online Political Advertisements ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aletras, Nikolaos; Mokaram, Saeid. - : Underline Science Inc., 2021 BASE Show details 9 Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aletras, Nikolaos; Chrysostomou, George. - : Underline Science Inc., 2021 BASE Show details 10 Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Chrysostomou, George. - : Underline Science Inc., 2021 BASE Show details 11 Modeling the Severity of Complaints in Social Media ... NAACL 2021 2021; Aletras, Nikolaos; Jin, Mali. - : Underline Science Inc., 2021 BASE Show details 12 Active Learning by Acquiring Contrastive Examples ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Barrault, Loïc; Margatina, Katerina; Vernikos, Giorgos. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.51/ Abstract: Common acquisition functions for active learning use either uncertainty or diversity sampling, aiming to select difficult and diverse data points from the pool of unlabeled data, respectively. In this work, leveraging the best of both worlds, we propose an acquisition function that opts for selecting contrastive examples, i.e. data points that are similar in the model feature space and yet the model outputs maximally different predictive likelihoods. We compare our approach, CAL (Contrastive Active Learning), with a diverse set of acquisition functions in four natural language understanding tasks and seven datasets. Our experiments show that CAL performs consistently better or equal than the best performing baseline across all tasks, on both in-domain and out-of-domain data. We also conduct an extensive ablation study of our method and we further analyze all actively acquired datasets showing that CAL achieves a better trade-off ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37821-active-learning-by-acquiring-contrastive-examples https://dx.doi.org/10.48448/fh95-3822 BASE Hide details 13 In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aletras, Nikolaos; Barrault, Loïc. - : Underline Science Inc., 2021 BASE Show details 14 Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Chrysostomou, George. - : Underline Science Inc., 2021 BASE Show details 15 Knowledge Distillation for Quality Estimation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aletras, Nikolaos; Alva-Manchego, Fernando. - : Underline Science Inc., 2021 BASE Show details 16 Machine Extraction of Tax Laws from Legislative Texts Han, Luyang; Guillot, Malka; Ash, Elliott In: Proceedings of the Natural Legal Language Processing Workshop 2021 (2021) BASE Show details 17 Point-of-Interest Type Prediction using Text and Images ... Villegas, Danae Sánchez; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 18 Point-of-Interest Type Prediction using Text and Images ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Sanchez Villegas, Danae. - : Underline Science Inc., 2021 BASE Show details 19 An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aletras, Nikolaos; Mensah, Samuel. - : Underline Science Inc., 2021 BASE Show details 20 Knowledge distillation for quality estimation Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021 BASE Show details Page: 1 2

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