no code implementations • WILDRE (LREC) 2022 • Sanket Sonu, Rejwanul Haque, Mohammed Hasanuzzaman, Paul Stynes, Pramod Pathak
Code-mixing (CM) is a process of mixing linguistic units such as words of two different languages.
no code implementations • CSRNLP (LREC) 2022 • Yash Pilankar, Rejwanul Haque, Mohammed Hasanuzzaman, Paul Stynes, Pramod Pathak
Social media is not just meant for entertainment, it provides platforms for sharing information, news, facts and events.
1 code implementation • ICON 2020 • Raghvendra Pratap Singh, Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way
Automatic recognition of customer complaints on products or services that they purchase can be crucial for the organisations, multinationals and online retailers since they can exploit this information to fulfil their customers’ expectations including managing and resolving the complaints.
no code implementations • 21 Mar 2024 • Sheresh Zahoor, Anthony C. Constantinou, Tim M Curtis, Mohammed Hasanuzzaman
Diabetes, a pervasive and enduring health challenge, imposes significant global implications on health, financial healthcare systems, and societal well-being.
no code implementations • 25 Jul 2023 • Praveen Joshi, Chandra Thapa, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli
Among various techniques in a DCML framework, federated split learning, known as splitfed learning (SFL), is the most suitable for efficient training and testing when devices have limited computational capabilities.
no code implementations • 7 Apr 2022 • Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully
Secondly, this paper presents enabling technologies, such as model parallelism and split learning, which facilitate DL training and deployment at edge servers.
no code implementations • SEMEVAL 2020 • Sayanta Paul, Sriparna Saha, Mohammed Hasanuzzaman
This task has been organized for several languages, e. g., Arabic, Danish, English, Greek and Turkish.
2 code implementations • 2 Apr 2019 • Syed Arbaaz Qureshi, Mohammed Hasanuzzaman, Sriparna Saha, Gaël Dias
We use this network to regress the depression level.
no code implementations • COLING 2018 • Sayantan Mitra, Mohammed Hasanuzzaman, Sriparna Saha, Andy Way
Current paper explores the use of multi-view learning for search result clustering.
no code implementations • WS 2018 • Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu
In this paper, we investigate the effectiveness of training a multimodal neural machine translation (MNMT) system with image features for a low-resource language pair, Hindi and English, using synthetic data.
no code implementations • NAACL 2018 • Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way
In this paper, we propose a very first study to demonstrate the association between the sentiment view of the temporal orientation of the users and their different psycho-demographic attributes by analyzing their tweets.
no code implementations • IJCNLP 2017 • Pintu Lohar, Koel Dutta Chowdhury, Haithem Afli, Mohammed Hasanuzzaman, Andy Way
In this paper, we analyse the real world samples of customer feedback from Microsoft Office customers in four languages, i. e., English, French, Spanish and Japanese and conclude a five-plus-one-classes categorisation (comment, request, bug, complaint, meaningless and undetermined) for meaning classification.
no code implementations • IJCNLP 2017 • Mohammed Hasanuzzaman, Ga{\"e}l Dias, Andy Way
Most social media platforms grant users freedom of speech by allowing them to freely express their thoughts, beliefs, and opinions.
no code implementations • ACL 2017 • Mohammed Hasanuzzaman, Sabyasachi Kamila, M Kaur, eep, Sriparna Saha, Asif Ekbal
Automatically estimating a user{'}s socio-economic profile from their language use in social media can significantly help social science research and various downstream applications ranging from business to politics.
no code implementations • LREC 2016 • Dipawesh Pawar, Mohammed Hasanuzzaman, Asif Ekbal
In this paper, we put forward a strategy that supplements Hindi WordNet entries with information on the temporality of its word senses.