NEREx: Named‐entity relationship exploration in multi‐party conversations

M El‐Assady, R Sevastjanova, B Gipp… - Computer Graphics …, 2017 - Wiley Online Library
We present NEREx, an interactive visual analytics approach for the exploratory analysis of
verbatim conversational transcripts. By revealing different perspectives on multi‐party …

[PDF][PDF] 基于公式化表达脱敏与边界识别加强的学术论文研究问题与方法识别研究

张颖怡, 章成志 - 情报学报, 2024 - qbxb.istic.ac.cn
摘要研究问题和方法是学术论文中的重要组成部分, 其在学术论文组织, 管理与检索以及科研
成果评价中具有重要意义. 为缓解研究问题与方法识别中存在的公式化表达依赖和词语边界识别 …

Semi-supervised learning for biomedical information extraction

A Vlachos - 2010 - cl.cam.ac.uk
This thesis explores the application of semi-supervised learning to biomedical information
extraction. The latter has emerged in recent years as a challenging application domain for …

Relation extraction pattern ranking using word similarity

K Lambrou-Latreille - 2015 - publications.polymtl.ca
Our thesis proposal aims at integrating word similarity measures in pattern ranking for
relation extraction bootstrapping algorithms. We note that although many contributions have …

Named Entity Recognition for Chinese Management Case Texts

S Liu, X Zhang, X Zhan - … and Devices: Proceedings of ICCD 2018, 2020 - Springer
Extracting named entity especially organization name from Chinese management case texts
is a challenging task due to the lack of labeled data and difficulty in identifying diversified …

A hybrid failure diagnosis and prediction framework for large industrial plants

D Kim - 2018 - figshare.utas.edu.au
Modern industrial plants contain large number of facilities interacting with thousands of
sensors and control. A single failure in a facility can produce inconsistent outcomes, which …