Masato Mita
24 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (7)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
β‘
Prolific Year
(5)
β
The Questioner
(3)
ποΈ
Keyword Collector
(80)
π
Century Club
(23)
Conferences
ACL (9)
COLING (4)
EMNLP (4)
NAACL (4)
IJCNLP (2)
EACL (1)
Top co-authors
Research topics
Keywords
grammatical error correction
(10)
text generation
(4)
benchmark dataset
(3)
neural machine translation
(3)
language assessment
(2)
cloze test
(2)
text editing
(2)
japanese language
(2)
ad text generation
(2)
data augmentation
(2)
encoder-decoder model
(2)
language learning
(2)
language model
(2)
large language model
(2)
pseudo datum
(2)
syntactic evaluation
(2)
evaluation metric
(2)
language model evaluation
(2)
masked language model
(1)
natural language processing
(1)
Papers
Language Acquisition Device in Large Language Models
ACL 2026
AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising
NAACL 2025
Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
ACL 2025
Targeted Syntactic Evaluation for Grammatical Error Correction
ACL 2025
BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences
EMNLP 2025
Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation
ACL 2024
Token-length Bias in Minimal-pair Paradigm Datasets
COLING 2024
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
NAACL 2024
CAMERAΒ³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese
COLING 2024
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
NAACL 2024
Cloze Quality Estimation for Language Assessment
EACL 2023
Japanese Lexical Complexity for Non-Native Readers: A New Dataset
ACL 2023
ClozEx: A Task toward Generation of English Cloze Explanation
EMNLP 2023
Do Grammatical Error Correction Models Realize Grammatical Generalization?
IJCNLP 2021
Do Grammatical Error Correction Models Realize Grammatical Generalization?
ACL 2021
Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation
COLING 2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
EMNLP 2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
ACL 2020
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
COLING 2020
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation
ACL 2020
The AIP-Tohoku System at the BEA-2019 Shared Task
ACL 2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
IJCNLP 2019
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models β Is Single-Corpus Evaluation Enough?
NAACL 2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
EMNLP 2019