Search
Search Results
-
Aspect sentiment triplet extraction based on data augmentation and task feedback
Aspect sentiment triplet extraction (ASTE), which focuses on mining the triplets (aspect, opinion, sentiment), is a complex and integrated subtask in...
-
Table Recognition in Scanned Documents
Invoices are so vastly used in business. For each invoice, an employee has to verify carefully written data including date, legal, and the courtesy...
-
DLEE: a dataset for Chinese document-level legal event extraction
Event extraction (EE) is capable of providing essential information to facilitate comprehension of legal cases by identifying event types and...
-
LUT-LIC: Look-Up Table-Assisted Learned Image Compression
Image compression is indispensable in many visual applications. Recently, learned image compression (LIC) using deep learning has surpassed...
-
PyramidTabNet: Transformer-Based Table Recognition in Image-Based Documents
Table detection and structure recognition is an important component of document analysis systems. Deep learning-based transformer models have...
-
Dependency-position relation graph convolutional network with hierarchical attention mechanism for relation extraction
Existing research extensively incorporates syntactic information, especially dependency trees, to enhance the performance of relation extraction...
-
Joint Inference for End-to-end Relation Extraction
As discussed in the previous chapter, better performance for end-to-end relation extraction is achieved when the extraction of entities and relations...
-
TableSegNet: a fully convolutional network for table detection and segmentation in document images
Advances in image object detection lead to applying deep convolution neural networks in the document image analysis domain. Unlike general colorful...
-
Neural Attentional Relation Extraction with Dual Dependency Trees
Relation extraction has been widely used to find semantic relations between entities from plain text. Dependency trees provide deeper semantic...
-
Adaptive feature extraction method for capsule endoscopy images
The traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB...
-
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning...
-
Robust Detection of Tables in Documents Using Scores from Table Cell Cores
Table detection is an essential step in many document analysis systems. Tabular data are a pivotal form of information representation that can...
-
Document Information Extraction via Global Tagging
Document Information Extraction (DIE) is a crucial task for extracting key information from visually-rich documents. The typical pipeline approach...
-
Contextual Information Augmented Few-Shot Relation Extraction
Few-Shot Relation Extraction is a challenging task that involves extracting relations from a limited number of annotated data. While some researchers...
-
Autoencoder as Feature Extraction Technique for Financial Distress Classification
Financial statements are typical financial distress identification data for the enterprise. However, nowadays, the valuable data source...
-
Thesaurus Enrichment via Coordination Extraction
We advance a method of thesaurus enrichment, based on the extraction of coordinations in a domain-related corpus. Our hypothesis is that there is a...
-
A Multi-span-Based Conditional Information Extraction Model
Conditional information extraction plays an important role in medical information extraction applications, such as medical information retrieval,...
-
RELD: A Knowledge Graph of Relation Extraction Datasets
Relation extraction plays an important role in natural language processing. There is a wide range of available datasets that benchmark existing...
-
Weakly Supervised Bounding Box Extraction for Unlabeled Data in Table Detection
The organization and presentation of data in tabular format became an essential strategy of scientific communication and remains fundamental to the...
-
DTP: An Open-Domain Text Relation Extraction Method
Open-domain text relation extraction (OpenTRE) is a subfield of information extraction that focuses on extracting relational facts from open-domain...