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09/08/2023
NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus
The statistical analysis of large scale legal corpus can provide valuabl...
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11/03/2022
Data-efficient End-to-end Information Extraction for Statistical Legal Analysis
Legal practitioners often face a vast amount of documents. Lawyers, for ...
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06/10/2022
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
The recent advances of deep learning have dramatically changed how machi...
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02/23/2022
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching
Semi-structured query systems for document-oriented databases have many ...
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11/30/2021
Donut: Document Understanding Transformer without OCR
Understanding document images (e.g., invoices) has been an important res...
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08/10/2021
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
Understanding documents from their visual snapshots is an emerging probl...
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04/16/2021
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
A real-world information extraction (IE) system for semi-structured docu...
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11/27/2020
Tractable loss function and color image generation of multinary restricted Boltzmann machine
The restricted Boltzmann machine (RBM) is a representative generative mo...
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05/01/2020
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing
Deep learning approaches to semantic parsing require a large amount of l...
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05/01/2020
Spatial Dependency Parsing for 2D Document Understanding
Information Extraction (IE) for document images is often approached as a...
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02/04/2019
