Search
Search Results
-
Joint Entity and Relation Extraction for Legal Documents Based on Table Filling
Joint entity and relation extraction for legal documents is an important research task of judicial intelligence informatization, aiming at extracting...
-
A Clustering Approach Combining Lines and Text Detection for Table Extraction
Table detection is a crucial step in several document analysis applications as tables are used to present essential information to the reader in a...
-
A Table Extraction Solution for Financial Spreading
Financial spreading is a necessary exercise for financial institutions to break up the analysis of financial data in making decisions like investment...
-
UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling
Joint entity and relation extraction are crucial tasks in natural language processing and knowledge graph construction. However, existing methods...
-
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs
Extracting figures and similar visual elements from PDFs of scientific publications is important but non-trivial, and progress is impeded by a lack...
-
Optimized Table Tokenization for Table Structure Recognition
Extracting tables from documents is a crucial task in any document conversion pipeline. Recently, transformer-based models have demonstrated that...
-
Flexible Hybrid Table Recognition and Semantic Interpretation System
Extracting information from documents containing quantitative data in tabular format is an important but still unsolved task due to the heterogeneity...
-
Relation Extraction
This chapter introduces methods for extracting the relations between entities mentioned in electronic health records, scientific literature, reports,...
-
GriTS: Grid Table Similarity Metric for Table Structure Recognition
In this paper, we propose a new class of metric for table structure recognition (TSR) evaluation, called grid table similarity (GriTS). Unlike prior...
-
SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction
In the study of text understanding and knowledge graph construction, the process of extracting entities and relations from unstructured text is...
-
Large-capacity image data hiding based on table look-up
Data hiding, also known as information hiding and digital watermarking, refers to the technology of hiding secret information in publicly available...
-
Enhancing Document-Level Relation Extraction with Attention-Convolutional Hybrid Networks and Evidence Extraction
Document-level relation extraction aims at extracting relations between entities in a document. In contrast to sentence-level correspondences,...
-
GFTE: Graph-Based Financial Table Extraction
Tabular data is a crucial form of information expression, which can organize data in a standard structure for easy information retrieval and...
-
Semantic-Driven Instance Generation for Table Question Answering
Recent studies exhibit that generating sufficient samples can improve the performance of Table QA, especially in complex cross-domain applications....
-
Table Orientation Classification Model Based on BERT and TCSMN
Tables are commonly used for structuring and consolidating knowledge, significantly enhancing the efficiency for human readers to acquire relevant...
-
Table Structure Recognition of Historical Dongba Documents
The analysis of table structures in historical documents has been a crucial area of research. Its objective is to identify the location of tables...
-
Tables to LaTeX: structure and content extraction from scientific tables
Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded...
-
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals
Recognizing emotions accurately in real life is crucial in human–computer interaction (HCI) systems. Electroencephalogram (EEG) signals have been...
-
DocILE Benchmark for Document Information Localization and Extraction
This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and...
-
Digital Archive Stamp Detection and Extraction
Archives contain valuable historical information and must be properly preserved. However, traditional archival materials are vulnerable to damage...