Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Karim, Asim"'
Publikováno v:
Nat. Lang. Eng. 28 (2022) 93-123
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 poses several normalization challenges during automatic language processi
Externí odkaz:
http://arxiv.org/abs/2004.00088
Autor:
Shakeel, Muhammad Haroon, Karim, Asim
Publikováno v:
The 35th ACM/SIGAPP Symposium on Applied Computing (SAC) 2020
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-resourced in terms of labeled datasets and language models even for popul
Externí odkaz:
http://arxiv.org/abs/2001.01047
Publikováno v:
Information Processing & Management, Volume 57, Issue 3, May 2020, 102204
Paraphrase detection is an important task in text analytics with numerous applications such as plagiarism detection, duplicate question identification, and enhanced customer support helpdesks. Deep models have been proposed for representing and class
Externí odkaz:
http://arxiv.org/abs/1912.12068
Publikováno v:
Neural Information Processing. ICONIP 2019
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 classification task challenging due to the multilingual, informal, and noisy
Externí odkaz:
http://arxiv.org/abs/1911.13066
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 standard forms. Previously proposed text normalization approaches typicall
Externí odkaz:
http://arxiv.org/abs/1712.09518
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 and data mining. Currently, discrimination discovery largely relies upo
Externí odkaz:
http://arxiv.org/abs/1608.03735
Autor:
Zaman, Farooq, Kamiran, Faisal, Shardlow, Matthew, Hassan, Saeed-Ul, Karim, Asim, Aljohani, Naif Radi
Publikováno v:
Frontiers in Artificial Intelligence; 2024, p1-15, 15p
Publikováno v:
In Information Processing and Management May 2020 57(3)
Publikováno v:
In Information Sciences January 2018 425:18-33
Publikováno v:
In Information Sciences 1 December 2016 372:518-538