Koichi Takeda

Affiliations:
  • Nagoya University, Graduate School of Informatics, Japan


According to our database1, Koichi Takeda authored at least 23 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Inference Discrepancy Based Curriculum Learning for Neural Machine Translation.
IEICE Trans. Inf. Syst., January, 2024

Improving Sentence Embeddings with an Automatically Generated NLI Dataset.
CoRR, 2024

Sentence Representations via Gaussian Embedding.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Japanese SimCSE Technical Report.
CoRR, 2023

Transformer-based Live Update Generation for Soccer Matches from Microblog Posts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Semantic Frame Induction with Deep Metric Learning.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Realistic Citation Count Prediction Task for Newly Published Papers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Building a Buzzer-quiz Answering System.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Automating Interlingual Homograph Recognition with Parallel Sentences.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Cross-Modal Similarity-Based Curriculum Learning for Image Captioning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Self-Guided Curriculum Learning for Neural Machine Translation.
Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Transformer-based Lexically Constrained Headline Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DefSent: Sentence Embeddings using Definition Sentences.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns.
Proceedings of the Fifth Conference on Machine Translation, 2020

Development of a Medical Incident Report Corpus with Intention and Factuality Annotation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Incorporating Textual Information on User Behavior for Personality Prediction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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