论文阅读笔记。
(1). An End-to-End Multi-Task Learning Model for Image-based Table Recognition(VISIGRAPP2023) 笔记地址
(2). Divide Rows and Conquer Cells Towards Structure Recognition for Large Tables(IJCAI-23) 笔记地址
(3). TRACE Table Reconstruction Aligned to Corner and Edges(ICDAR 2023) 笔记地址
(4). An End-to_End Local Attention Based Model for Table Recognition(ICDAR2023) 笔记地址
(5). High-Performance Transformers for Table Structure Recognition Need Early Convolutions(NeurIPS workshop 2023) 笔记地址
(6). Rethinking Image-based Table Recognition Using Weakly Supervised Methods(ICPRAM 2023) 笔记地址
(7). PP-StructureV2 A Stronger Document Analysis System(arxiv 2022) 笔记地址
(8). PINGAN-VCGROUP’S SOLUTION FOR ICDAR 2021 COMPETITION ON SCIENTIFIC LITERATURE PARSING TASK B TABLE RECOGNITION TO HTML(arxiv 2021) 笔记地址
(9). TableFormer Table Structure Understanding with Transformers(cvpr2022) 笔记地址
(10). Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling(cvpr2023) 笔记地址
(11). Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks(icdar2019) 笔记地址
(12). Rethinking Semantic Segmentation for Table Structure Recognition in Documents(icdar2019) 笔记地址
(13). LGPMA Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment(icdar2021) 笔记地址
(14). SEMv2 Table Separation Line Detection Based on Instance Segmentation(Pattern Recognition 2024) 笔记地址
(15). UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining(arxiv2024) 笔记地址
(1). FASPell A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm(EMNLP2019) 笔记地址
(2). Chunk-based Chinese Spelling Check with Global Optimization(EMNLP2020) 笔记地址
(3). Spelling Error Correction with Soft-Masked BERT(ACL2020) 笔记地址
(4). SpellGCN Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check(ACL2020) 笔记地址
(5). Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis(ACL2020) 笔记地址
(6). Correcting Chinese Spelling Errors with Phonetic Pre-training(ACL2021) 笔记地址
(7). Dynamic Connected Networks for Chinese Spelling Check(ACL2021) 笔记地址
(8). Exploration and Exploitation Two Ways to Improve Chinese Spelling Correction Models(ACL2021) 笔记地址
(9). SpellBERT A Lightweight Pretrained Model for Chinese Spelling Check(EMNLP2021) 笔记地址
(10). Global Attention Decoder for Chinese Spelling Error Correction(ACL2021) 笔记地址
(11). PHMOSpell Phonological and Morphological Knowledge Guided Chinese Spelling Check(ACL2021) 笔记地址
(12). PLOME Pre-training with Misspelled Knowledge for Chinese Spelling Correction(ACL2021) 笔记地址
(13). Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction(ACL2021) 笔记地址
(14). Read, Listen, and See Leveraging Multimodal Information Helps Chinese Spell Checking(ACL2021) 笔记地址
(15). An Error-Guided Correction Model for Chinese Spelling Error Correction(EMNLP2022) 笔记地址
(16). CRASPell A Contextual Typo Robust Approach to Improve Chinese Spelling Correction(ACL2022) 笔记地址
(17). MDCSpell A Multi-task Detector-Corrector Framework for Chinese Spelling Correction(ACL2022) 笔记地址
(18). Chinese Spelling Correction as Rephrasing Language Model(AAAI2024) 笔记地址
(19). Investigating Glyph-Phonetic Information for Chinese Spell Checking What Works and What's Next(ACL2023) 笔记地址
(20). Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction(ACL2023) 笔记地址
(21). GrammarGPT Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning(arxiv2023) 笔记地址
(1). Corrective Retrieval Augmented Generation(arxiv2024) 笔记地址
(2). T-RAG LESSONS FROM THE LLM TRENCHES(arxiv2024) 笔记地址
(3). UniMS-RAG Unified Multi-Source RAG for Personalised Dialogue(arxiv2024) 笔记地址
1、github：https://github.com/jiangnanboy
2、blog：https://www.cnblogs.com/little-horse/
3、QQ:2229029156