Cnn-iets: A cnn-based probabilistic approach for information extraction by text segmentation

M Hu, Z Li, Y Shen, A Liu, G Liu, K Zheng… - Proceedings of the 2017 …, 2017 - dl.acm.org
Information Extraction by Text Segmentation (IETS) aims at segmenting text inputs to extract
implicit data values contained in them. The state-of-art IETS approaches mainly rely on …

Toi-CNN: A solution of information extraction on Chinese insurance policy

L Sun, K Zhang, F Ji, Z Yang - … of the 2019 Conference of the …, 2019 - aclanthology.org
Contract analysis can significantly ease the work for humans using AI techniques. This
paper shows a problem of Element Tagging on Insurance Policy (ETIP). A novel Text-Of …

A TOI based CNN with location regression for insurance contract analysis

K Zhang, L Sun, F Ji - 2019 International Joint Conference on …, 2019 - ieeexplore.ieee.org
Contract analysis with AI techniques can significantly ease the work for humans. This paper
shows a problem of Element Tagging on Insurance Policy (ETIP). We present a novel Text …

Unsupervised deep learning approach for information extraction

I Fianyi - 2024 - figshare.utas.edu.au
Unsupervised Information Extraction (UIE) refers to the act of automictically extracting
relevant information (which consists of entities, the relations between entities and their …

[HTML][HTML] ETIP: a lengthy nested NER problem for Chinese insurance policy analysis

L Sun, K Zhang, Y Sun, F Weng, J Zhang - Pattern Analysis and …, 2020 - Springer
Contract analysis can significantly ease the work for humans using AI techniques. This
paper shows a lengthy nested NER problem of element tagging on insurance policy (ETIP) …

Putting self-supervised token embedding on the tables

M Szafraniec, G Marti, P Donnat - 2017 16th IEEE International …, 2017 - ieeexplore.ieee.org
Information distribution by electronic messages is a privileged means of transmission for
many businesses and individuals, often under the form of plain-text tables. As their number …

[PDF][PDF] ABBA: Smart Information and Document Analyser

Ö Uçar, G Tuna, SM Başarıcı, Y Kılıçaslan - academia.edu
During the last couple of decades the number of documents in digital form has grown
tremendously in size. Consequently, being able to automatically organise and classify …