Search Results for author:
Found 5 papers, 3 papers with code
Parsing AUC result-figures in machine learning specific scholarly documents for semantically-enriched summarization
Using over 12, 000 figures extracted from 1000 scholarly documents, we show that figure specialized summaries contain more enriched terms about figure semantics.
Sentiment analysis for Urdu online reviews using deep learning models
The objectives of this work are bifold (a) the creation of a human-annotated corpus for the research of sentiment analysis in Urdu; and (b) measurement of up-to-date model performance using a corpus.
Ranked #1 on
Sentiment Analysis
on Urdu Online Reviews
A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies
Citation analysis is one of the most frequently used methods in research evaluation.
HTSS: A Novel Hybrid Text Summarisation and Simplification Architecture
Our results show that our proposed HTSS model outperforms neural text simplification (NTS) on SARI score and abstractive text summarisation (ATS) on the ROUGE score.
Ranked #2 on
Text Simplification
on EurekaAlert
CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks
In this paper, we propose a novel algorithm, the Clustering Coefficient-based Genetic Algorithm (CC-GA), for detecting them in social and complex networks.
