95 citations · 339 across the 39 of their papers we have counts for
7 papers · 1 filter
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets
Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel +1
Health mention classification deals with the disease detection in a given text containing disease words. However, non-health and figurative use of disease words adds challenges to…
The Person Index Challenge: Extraction of Persons from Messy, Short Texts
Markus Schröder, Christian Jilek, Michael Schulze +1
When persons are mentioned in texts with their first name, last name and/or middle names, there can be a high variation which of their names are used, how their names are ordered a…
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim +3
In order to provide benchmark performance for Urdu text document classification, the contribution of this paper is manifold. First, it pro-vides a publicly available benchmark data…
SentiCite: An Approach for Publication Sentiment Analysis
Dominique Mercier, Akansha Bhardwaj, Andreas Dengel +1
With the rapid growth in the number of scientific publications, year after year, it is becoming increasingly difficult to identify quality authoritative work on a single topic. Tho…
A Robust Hybrid Approach for Textual Document Classification
Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik +2
Text document classification is an important task for diverse natural language processing based applications. Traditional machine learning approaches mainly focused on reducing dim…
Interactive Concept Mining on Personal Data -- Bootstrapping Semantic Services
Markus Schröder, Christian Jilek, Andreas Dengel
Semantic services (e.g. Semantic Desktops) are still afflicted by a cold start problem: in the beginning, the user's personal information sphere, i.e. files, mails, bookmarks, etc.…