There are no reviews yet. Be the first to send feedback to the community and the maintainers!
bert-japanese
BERT models for Japanese text.ILYS-aoba-chatbot
keigo_transfer_task
ๆฌ่ชๅคๆใฟในใฏใซใใใ่ฉไพก็จใใผใฟใปใใJAQKET_baseline
AIO2_DPR_baseline
https://www.nlp.ecei.tohoku.ac.jp/projects/aio/PheMT
A phenomenon-wise evaluation dataset for Japanese-English machine translation robustness. The dataset is based on the MTNT dataset, with additional annotations of four linguistic phenomena; Proper Noun, Abbreviated Noun, Colloquial Expression, and Variant. COLING 2020.phsic
Compute co-occurrence strength between sentences with short learning timeeval-via-selection
showcase
A PyTorch implementation of the Japanese Predicate-Argument Structure (PAS) analyser presented in the paper of Matsubayashi & Inui (2018) with some improvements.elmo-japanese
BPersona-chat
waiting for updateMulti-VidSum
xbe
Cross-stitch bi-encoder for distantly supervised relation extraction (EMNLP 2022)TYPIC
J-UniMorph
Dataset of UniMorph in JapaneseJAOJ
Japanese Argument Omission JudgementAIO3_FiD_baseline
A baseline QA system for AIO3 competition utilizing Dense Passage Retrieval (DPR) and Fusion-in-Decoder (FiD)AIO3_BPR_baseline
A baseline QA system for AIO3 competition utilizing Binary Passage Retriever (BPR)aio4-bpr-baseline
AIO4_GPT_baseline
aio4-fid-baseline
็ฌฌ4ๅAI็ ๆฉๆผใ่งฃ็ญ้จ้ Fusion-in-Decoder(FiD)ใใผในใฉใคใณLPAttack
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Argumentstrace-manipulate
scientific-paper-pros-cons
IRAC_2022
A knowledge base of domain-specific implicit reasonings in arguments via causalityquiz-datasets
QA datasets created from Japanese quiz questions.hagi-bot
Love Open Source and this site? Check out how you can help us