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Data-efficient end-to-end Information Extraction for Statistical Legal Analysis.

, , , , and . NLLP@EMNLP, page 143-152. Association for Computational Linguistics, (2022)

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A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization., , , and . CoRR, (2019)NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus., , and . CoRR, (2023)BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents., , , , , and . CoRR, (2021)BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents., , , , , and . AAAI, page 10767-10775. AAAI Press, (2022)Cost-effective End-to-end Information Extraction for Semi-structured Document Images., , , , and . EMNLP (1), page 3375-3383. Association for Computational Linguistics, (2021)Spatial Dependency Parsing for Semi-Structured Document Information Extraction., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 330-343. Association for Computational Linguistics, (2021)Data-efficient end-to-end Information Extraction for Statistical Legal Analysis., , , , and . NLLP@EMNLP, page 143-152. Association for Computational Linguistics, (2022)NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus., , , and . EACL (Demonstrations), page 52-61. Association for Computational Linguistics, (2024)Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching., , , and . CoRR, (2022)OCR-Free Document Understanding Transformer., , , , , , , , , and . ECCV (28), volume 13688 of Lecture Notes in Computer Science, page 498-517. Springer, (2022)