Asahi Ushio

According to our database1, Asahi Ushio authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
RelBERT: Embedding Relations with Language Models.
CoRR, 2023

An Efficient Multilingual Language Model Compression through Vocabulary Trimming.
CoRR, 2023

SemEval-2023 Task 1: Visual Word Sense Disambiguation.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Efficient Multilingual Language Model Compression through Vocabulary Trimming.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Practical Toolkit for Multilingual Question and Answer Generation.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
TweetNLP: Cutting-Edge Natural Language Processing for Social Media.
CoRR, 2022

Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TweetNLP: Cutting-Edge Natural Language Processing for Social Media.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Twitter Topic Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification.
CoRR, 2021

Distilling Relation Embeddings from Pre-trained Language Models.
CoRR, 2021

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Distilling Relation Embeddings from Pretrained Language Models.
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.
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?
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.
IEEE Trans. Signal Process., 2019

Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models.
CoRR, 2019

2017
Projection-based dual averaging for stochastic sparse optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017


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