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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
BASE
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4
Modeling the Severity of Complaints in Social Media ...
Jin, Mali
;
Aletras, Nikolaos
. - : arXiv, 2021
BASE
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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
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.645/ Abstract: Pretrained transformer-based models such as BERT have demonstrated state-of-the-art predictive performance when adapted into a range of natural language processing tasks. An open problem is how to improve the faithfulness of explanations (rationales) for the predictions of these models. In this paper, we hypothesize that salient information extracted a priori from the training data can complement the task-specific information learned by the model during fine-tuning on a downstream task. In this way, we aim to help BERT not to forget assigning importance to informative input tokens when making predictions by proposing SALOSS; an auxiliary loss function for guiding the multi-head attention mechanism during training to be close to salient information extracted a priori using TextRank. Experiments for explanation faithfulness across five datasets, show that models trained with SALOSS consistently provide more faithful explanations ...
Keyword:
Computational Linguistics
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/whp5-c156
https://underline.io/lecture/37385-enjoy-the-salience-towards-better-transformer-based-faithful-explanations-with-word-salience
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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
BASE
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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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