Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems.
Deep learning is an advanced method to deal with recognizing textual entailment tasks in an …

The information extraction process includes Semantic Role Labeling (SRL) as one of its sub-
tasks. SRL aims to determine the semantic role of each entity within a sentence by …

Deep neural networks are capable of producing photographic images that depict given
natural language text descriptions. Such models have huge potential in applications such as …

Digitalization has been bringing about various changes and innovations not only in our daily
life but also in our business environment. In the manufacturing industry, robots have been …

Automating organizational processes typically involves document processing techniques for
a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm …

Hierarchical text classification has been receiving increasing attention due to its vast range
of applications in real-world natural language processing tasks. While previous approaches …

Abstract Information extraction (IE) is a vital step of digitization that reduces paperwork in
offices. However, the adaptation of common IE systems to actual business cases faces two …

Large language models (LLMs) have significantly advanced the field of natural language
processing, with GPT models at the forefront. While their remarkable performance spans a …

This paper introduces a new information extraction model for business documents. Different
from prior studies which only base on span extraction or sequence labeling, the model takes …

This paper presents an interesting case study on Legacy Data Integration (LDI for short) for a
Regional Cloud Arbitration Court. Due to the inconsistent structure and presentation, legacy …