activity
20192026
most citedExplainable Event Recognition

4 citations · 22 across the 15 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

Stylometry Analysis of Human and Machine Text for Academic Integrity

Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad +5

This work addresses critical challenges to academic integrity, including plagiarism, fabrication, and verification of authorship of educational content, by proposing a Natural Lang…

cs.CL2024★ 1 cited

A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media

Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub +2

Over the last decade, similar to other application domains, social media content has been proven very effective in disaster informatics. However, due to the unstructured nature of…

cs.CL2024★ 4 cited

Stylometry Analysis of Multi-authored Documents for Authorship and Author Style Change Detection

Muhammad Tayyab Zamir, Muhammad Asif Ayub, Asma Gul +2

In recent years, the increasing use of Artificial Intelligence based text generation tools has posed new challenges in document provenance, authentication, and authorship detection…

cs.CL2023★ 2 cited

Document Provenance and Authentication through Authorship Classification

Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan +3

Style analysis, which is relatively a less explored topic, enables several interesting applications. For instance, it allows authors to adjust their writing style to produce a more…

cs.CL2023★ 1 cited

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques

Muhammad Suleman, Muhammad Asif, Tayyab Zamir +4

This paper presents our solutions for the MediaEval 2022 task on DisasterMM. The task is composed of two subtasks, namely (i) Relevance Classification of Twitter Posts (RCTP), and…

cs.CL2022

Social Media as an Instant Source of Feedback on Water Quality

Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad +3

This paper focuses on an important environmental challenge; namely, water quality by analyzing the potential of social media as an immediate source of feedback. The main goal of th…

cs.CL2021★ 2 cited

NLP Techniques for Water Quality Analysis in Social Media Content

Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad +2

This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia". The task aims at analyzing social media posts relevant to wat…