activity
20162020
most citedA Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

39 citations · 85 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2020★ 7 cited

A Clustering Framework for Lexical Normalization of Roman Urdu

Abdul Rafae Khan, Asim Karim, Hassan Sajjad +2

Roman Urdu is an informal form of the Urdu language written in Roman script, which is widely used in South Asia for online textual content. It lacks standard spelling and hence pos…

cs.CL2020★ 19 cited

Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text

Muhammad Haroon Shakeel, Asim Karim

Nowadays, an abundance of short text is being generated that uses nonstandard writing styles influenced by regional languages. Such informal and code-switched content are under-res…

cs.CL2019★ 39 cited

A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan

Paraphrase detection is an important task in text analytics with numerous applications such as plagiarism detection, duplicate question identification, and enhanced customer suppor…

cs.CL2019★ 16 cited

A Multi-cascaded Deep Model for Bilingual SMS Classification

Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan

Most studies on text classification are focused on the English language. However, short texts such as SMS are influenced by regional languages. This makes the automatic text classi…

cs.CL2017★ 4 cited

Improving Text Normalization by Optimizing Nearest Neighbor Matching

Salman Ahmad Ansari, Usman Zafar, Asim Karim

Text normalization is an essential task in the processing and analysis of social media that is dominated with informal writing. It aims to map informal words to their intended stan…

cs.CY2016

Causal Inference for Social Discrimination Reasoning

Bilal Qureshi, Faisal Kamiran, Asim Karim +2

The discovery of discriminatory bias in human or automated decision making is a task of increasing importance and difficulty, exacerbated by the pervasive use of machine learning a…