Barman, Utsab (2019) Automatic processing of code-mixed social media content. PhD thesis, Dublin City University.
Han, Jingguang, Barman, Utsab, Hayes, Jer, Du, Jinhua ORCID: 0000-0002-3267-4881, Burgin, Edward and Wan, Dadong
(2018)
NextGen AML: distributed deep learning based language technologies
to augment anti money laundering Investigation.
In: 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations, 15-20 July 201, Melbourne, Australia.
Barman, Utsab, Wagner, Joachim ORCID: 0000-0002-8290-3849 and Foster, Jennifer
ORCID: 0000-0002-7789-4853
(2016)
Part-of-speech tagging of code-mixed social media content: pipeline,
stacking and joint modelling.
In: Second Workshop on Computational Approaches to Code Switching, 2 Nov 2016, Austin, Texas, USA.
Barman, Utsab, Das, Amitava ORCID: 0000-0003-3418-463X, Wagner, Joachim
ORCID: 0000-0002-8290-3849 and Foster, Jennifer
ORCID: 0000-0002-7789-4853
(2014)
Code mixing: a challenge for language identification in the language of
social media.
In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar.
Barman, Utsab, Wagner, Joachim ORCID: 0000-0002-8290-3849, ChrupaĆa, Grzegorz
ORCID: 0000-0001-9498-6912 and Foster, Jennifer
ORCID: 0000-0002-7789-4853
(2014)
DCU-UVT: Word-level language classification with code-mixed data.
In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar.
Wagner, Joachim ORCID: 0000-0002-8290-3849, Arora, Piyush
ORCID: 0000-0002-4261-2860, Cortes, Santiago, Barman, Utsab, Bogdanova, Dasha, Foster, Jennifer
ORCID: 0000-0002-7789-4853 and Tounsi, Lamia
(2014)
DCU: aspect-based polarity classification for SemEval task 4.
In: International Workshop on Semantic Evaluation (SemEval-2014), 23-24 Aug 2014, Dublin, Ireland.
ISBN 978-1-941643-24-2