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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
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2
Automatic Identification and Classification of Bragging in Social Media ...
Jin, Mali
;
Preoţiuc-Pietro, Daniel
;
Doğruöz, A. Seza
. - : arXiv, 2022
BASE
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3
Analyzing Online Political Advertisements ...
Villegas, Danae Sánchez
;
Mokaram, Saeid
;
Aletras, Nikolaos
. - : arXiv, 2021
Abstract:
Online political advertising is a central aspect of modern election campaigning for influencing public opinion. Computational analysis of political ads is of utmost importance in political science to understand the characteristics of digital campaigning. It is also important in computational linguistics to study features of political discourse and communication on a large scale. In this work, we present the first computational study on online political ads with the aim to (1) infer the political ideology of an ad sponsor; and (2) identify whether the sponsor is an official political party or a third-party organization. We develop two new large datasets for the two tasks consisting of ads from the U.S.. Evaluation results show that our approach that combines textual and visual information from pre-trained neural models outperforms a state-of-the-art method for generic commercial ad classification. Finally, we provide an in-depth analysis of the limitations of our best-performing models and linguistic analysis ... : Accepted at ACL Findings 2021 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2105.04047
https://arxiv.org/abs/2105.04047
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4
Modeling the Severity of Complaints in Social Media ...
Jin, Mali
;
Aletras, Nikolaos
. - : arXiv, 2021
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5
Translation Error Detection as Rationale Extraction ...
Fomicheva, Marina
;
Specia, Lucia
;
Aletras, Nikolaos
. - : arXiv, 2021
BASE
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6
Knowledge Distillation for Quality Estimation ...
Gajbhiye, Amit
;
Fomicheva, Marina
;
Alva-Manchego, Fernando
. - : arXiv, 2021
BASE
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7
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling ...
Yamaguchi, Atsuki
;
Chrysostomou, George
;
Margatina, Katerina
. - : arXiv, 2021
BASE
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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
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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
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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
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11
Modeling the Severity of Complaints in Social Media ...
NAACL 2021 2021
;
Aletras, Nikolaos
;
Jin, Mali
. - : Underline Science Inc., 2021
BASE
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12
Active Learning by Acquiring Contrastive Examples ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Aletras, Nikolaos
;
Barrault, Loïc
. - : Underline Science Inc., 2021
BASE
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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
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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
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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)
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17
Point-of-Interest Type Prediction using Text and Images ...
Villegas, Danae Sánchez
;
Aletras, Nikolaos
. - : arXiv, 2021
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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
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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
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20
Knowledge distillation for quality estimation
Gajbhiye, Amit
;
Fomicheva, Marina
;
Alva-Manchego, Fernando
. - : Association for Computational Linguistics, 2021
BASE
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