Asahi Ushio

According to our database, Asahi Ushio authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Systematic Analysis on the Temporal Generalization of Language Models in Social Media.

Asahi Ushio, José Camacho-Collados

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Multilingual Topic Classification in X: Dataset and Analysis.

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, José Camacho-Collados

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A RelEntLess Benchmark for Modelling Graded Relations between Named Entities.

Asahi Ushio, José Camacho-Collados, Steven Schockaert

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

RelBERT: Embedding Relations with Language Models.

Asahi Ushio, José Camacho-Collados, Steven Schockaert

CoRR, 2023

An Efficient Multilingual Language Model Compression through Vocabulary Trimming.

Asahi Ushio, Yi Zhou, José Camacho-Collados

CoRR, 2023

SemEval-2023 Task 1: Visual Word Sense Disambiguation.

Alessandro Raganato, Iacer Calixto, Asahi Ushio, José Camacho-Collados, Mohammad Taher Pilehvar

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Efficient Multilingual Language Model Compression through Vocabulary Trimming.

Asahi Ushio, Yi Zhou, José Camacho-Collados

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research.

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Practical Toolkit for Multilingual Question and Answer Generation.

Asahi Ushio, Fernando Alva-Manchego, José Camacho-Collados

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

An Empirical Comparison of LM-based Question and Answer Generation Methods.

Asahi Ushio, Fernando Alva-Manchego, José Camacho-Collados

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

TweetNLP: Cutting-Edge Natural Language Processing for Social Media.

José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Bührmann, Leonardo Neves, Francesco Barbieri

CoRR, 2022

Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts.

Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Generative Language Models for Paragraph-Level Question Generation.

Asahi Ushio, Fernando Alva-Manchego, José Camacho-Collados

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TweetNLP: Cutting-Edge Natural Language Processing for Social Media.

José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Twitter Topic Classification.

Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification.

Aleksandra Edwards, Asahi Ushio, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece

CoRR, 2021

Distilling Relation Embeddings from Pre-trained Language Models.

Asahi Ushio, José Camacho-Collados, Steven Schockaert

CoRR, 2021

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction.

Asahi Ushio, Federico Liberatore, José Camacho-Collados

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Distilling Relation Embeddings from Pretrained Language Models.

Asahi Ushio, José Camacho-Collados, Steven Schockaert

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition.

Asahi Ushio, José Camacho-Collados

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?

Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, José Camacho-Collados

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

Projection-Based Regularized Dual Averaging for Stochastic Optimization.

Asahi Ushio, Masahiro Yukawa

IEEE Trans. Signal Process., 2019

Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models.

Max F. Frenzel, Bogdan Teleaga, Asahi Ushio

CoRR, 2019

2017

Projection-based dual averaging for stochastic sparse optimization.

Asahi Ushio, Masahiro Yukawa

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017