Document Structure in Long Document Transformers
Long documents often exhibit structure with hierarchically organized elements of different
functions, such as section headers and paragraphs. Despite the omnipresence of document …
functions, such as section headers and paragraphs. Despite the omnipresence of document …
[HTML][HTML] DC-Graph: a chunk optimization model based on document classification and graph learning
J Zhou, G Zhang, O Alfarraj, A Tolba, X Li… - Artificial Intelligence …, 2024 - Springer
Existing machine reading comprehension methods use a fixed stride to chunk long texts,
which leads to missing contextual information at the boundaries of the chunks and a lack of …
which leads to missing contextual information at the boundaries of the chunks and a lack of …
Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification
With the growing demand for text analytics, long document classification (LDC) has received
extensive attention, and great progress has been made. To reveal the complex structure and …
extensive attention, and great progress has been made. To reveal the complex structure and …
Leveraging Medical Discourse to Answer Complex Questions
B Galitsky - 2023 - preprints.org
We review the literature on medical discourse and attempt to build a computational model of
it. Medical discourse sheds a light on communication structure of patient-doctor and other …
it. Medical discourse sheds a light on communication structure of patient-doctor and other …
DocumentQA-Leveraging LayoutLMv3 for Next-Level Question Answering
S Chanti, P Harika, VV Vinay… - … Conference on Self …, 2023 - ieeexplore.ieee.org
With the increasing prevalence of digital documents in various domains, the demand for
efficient and accurate question-answering (QA) systems has grown significantly. Traditional …
efficient and accurate question-answering (QA) systems has grown significantly. Traditional …