publications
my writings
2024
-
NeurIPS(tobe)Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic CorpusIn Annual Conference on Neural Information Processing Systems, 2024
-
人工知能学会
-
LREC-COLINGJFLD: A Japanese Benchmark for Deductive Reasoning based on Formal LogicIn Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
-
言語処理学会
-
AAAI (demo)CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual InformationIn Annual AAAI Conference on Artificial Intelligence, 2024, 2024
2023
-
ariXivappjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit2023
-
CIKMLARCH: Large Language Model-based Automatic Readme Creation with HeuristicsIn The Conference on Information and Knowledge Management, 2023, 2023
-
INLGControlling keywords and their positions in text generationIn International Conference on Natural Language Generation, 2023, 2023
-
ACL (findings)How does the task complexity of masked pretraining objectives affect downstream performance?In Findings of the Association for Computational Linguistics: ACL 2023, 2023
-
ACL (SRW)How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in JapaneseIn Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2023
-
人工知能学会
-
人工知能学会
-
人工知能学会 (優秀賞)
-
ICMLLearning Deductive Reasoning from Synthetic Corpus based on Formal LogicIn International Conference on Machine Learning, 2023
-
言語処理学会
-
言語処理学会
2022
-
Blog
-
ICML (spotlight)Rethinking Fano’s Inequality in Ensemble LearningIn International Conference on Machine Learning, 2022
-
人工知能学会
-
TACLEnd-to-end Argument Mining with Cross-corpora Multi-task LearningTransactions of the Association for Computational Linguistics, 2022
2021
-
AAAIi-Parser: Interactive Parser Development Kit for Natural Language ProcessingIn Proceedings of the AAAI Conference on Artificial Intelligence, 2021
-
EACLProject-then-transfer: Effective two-stage cross-lingual transfer for semantic dependency parsingIn Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
-
SemEvalHitachi at SemEval-2020 Task 3: Exploring the representation spaces of transformers for human sense word similarityIn Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
-
SemEval(Oral,1st prize)Hitachi at SemEval-2020 task 7: Stacking at scale with heterogeneous language models for humor recognitionIn Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
-
SemEval (2nd prize)Hitachi at SemEval-2020 task 8: Simple but effective modality ensemble for meme emotion recognitionIn Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
-
SemEval (2nd prize)Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language ModelsIn Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
-
SemEval (1st prize)Hitachi at SemEval-2020 task 11: An empirical study of pre-trained transformer family for propaganda detectionIn Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
-
CoNLL (1st prize)Hitachi at MRP 2020: Text-to-graph-notation transducerIn Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing, 2020
-
ACLTowards better non-tree argument mining: Proposition-level biaffine parsing with task-specific parameterizationIn Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
-
人工知能学会
2019
-
CoNLLHitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation ParsingIn Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019
-
人工知能学会
media
2024
-
取材,日経ロボティクス
2023
-
取材,日経ロボティクス
2020
-
プレスリリース
2019
-
取材
oss
2023
-
OSSFLD: A project to teach language models deductive reasoning via synthetic corpus based on formal logic theorygithub.com, 2023
-
OSS
2022
-
OSSEnsemble Metrics: A set of theoretically well-grounded metrics to measure an ensemble methodgithub.com, 2022