2024

Asahi Ushio, Jose Camacho Collados, Steven Schockaert
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
Proceedings of EACL 2024 Main Conference arXiv:2305.15002 [dataset] [arxiv]

2023

Asahi Ushio, Yi Zhou, Jose Camacho-Collados
An Efficient Multilingual Language Model Compression through Vocabulary Trimming
Proceedings of EMNLP 2023 Findings [code] [arxiv]

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa-Anke, Jiaxin Pei, Jose Camacho-Collados
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Proceedings of EMNLP 2023 Findings [code] [dataset]

Asahi Ushio, Fernando Alva-Manchego, and Jose Camacho-Collados
A Practical Toolkit for Multilingual Question and Answer Generation
Proceedings of ACL 2023 System Demonstration [code] [demo (autoqg)] [slide] [arxiv]

Asahi Ushio, Fernando Alva-Manchego, and Jose Camacho-Collados
An Empirical Comparison of LM-based Question and Answer Generation Methods
Proceedings of ACL 2023 Findings [code] [demo (autoqg)] [arxiv]

Asahi Ushio, Jose Camacho Collados, Steven Schockaert
RelBERT: Embedding Relations with Language Models
arXiv:2305.15002 [arxiv]

2022

Asahi Ushio, Fernando Alva-Manchego, and Jose Camacho-Collados
Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation
Proceedings of EMNLP 2022 Main Conference [code] [dataset] [demo (autoqg)] [slide] [arxiv]

Jose 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 Buhrmann, Leonardo Neves, and Francesco Barbieri
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Proceedings of EMNLP 2022 System Demonstration [code] [home page] [arxiv]

Asahi Ushio, and Danushka Bollegala
Zero-shot Cross-Lingual Counterfactual Detection via Automatic Extraction and Prediction of Clue Phrases
Proceedings of the 2nd Workshop on Multilingual Representation Learning

Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados, Helene de Ribaupierre, and Alun Preece
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
Proceedings of the 3rd Workshop on Data Science with Human in the Loop

Asahi Ushio, Leonardo Neves, Vitor Silva, Francesco Barbieri, and Jose Camacho-Collados
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Proceedings of AACL 2022 Main Conference [dataset] [code] [slide] [arxiv]

Dimosthenis Antypas*, Asahi Ushio*, Jose Camacho-Collados, Leonardo Neves, Vitor Silva, and Francesco Barbieri
Twitter Topic Classification (*equal contribution)
Proceedings of COLING 2022 Main Conference [acl anthology] [dataset (multi)] [dataset (single)] [arxiv]

2021

Asahi Ushio, Jose Camacho-Collados, and Steven Schockaert
Distilling Relation Embeddings from Pre-trained Language Models
Proceedings of EMNLP 2021 Main Conference [pdf] [code] [slide] [acl anthology] [arxiv] [demo]

Asahi Ushio, Federico Liberatore, and Jose Camacho-Collados
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Proceedings of EMNLP 2021 Main Conference [pdf] [code] [slide] [acl anthology] [arxiv]

Asahi Ushio, Luis Espinosa-Anke, Steven Schockaert, and Jose Camacho-Collados
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
Proceedings of ACL-IJCNLP 2021 Main Conference [pdf] [code] [slide] [acl anthology] [arxiv]

Asahi Ushio and Jose Camacho-Collados
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Proceedings of EACL 2021 System Demonstration [pdf] [code] [slide] [acl anthology] [arxiv] [demo]

2019

Max F. Frenzel, Bogdan Teleaga, and Asahi Ushio
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
arXiv:1902.02113 [arxiv]

Asahi Ushio and Masahiro Yukawa
Projection-based Regularized Dual Averaging for Stochastic Optimization
IEEE Trans. Signal Processing 2019 [pdf] [code]

Ken McAlinn, Asahi Ushio, and Teruo Nakatsuma
Volatility Forecasts Using Nonlinear Leverage Effects
Journal of Forecasting, 2019 [pdf]

2018

Asahi Ushio
Projection-based Regularized Dual Averaging for Stochastic Optimization with Its Applications to Classification and Regression
Master thesis, Keio University, 2018 [pdf] [code] [slide]

2017

Asahi Ushio and Masahiro Yukawa
Projection-based Regularized Dual Averaging for Stochastic Optimization
Proceedings of ICASSP 2017 [pdf] [code] [slide]