no code implementations • 14 Oct 2024 • Md Rashad Al Hasan Rony, Sudipto Kumar Shaha, Rakib Al Hasan, Sumon Kanti Dey, Amzad Hossain Rafi, Ashraf Hasan Sirajee, Jens Lehmann
Bengali is the seventh most spoken language on earth, yet considered a low-resource language in the field of natural language processing (NLP).
no code implementations • 13 Nov 2023 • Ken E. Friedl, Abbas Goher Khan, Soumya Ranjan Sahoo, Md Rashad Al Hasan Rony, Jana Germies, Christian Süß
To address these challenges, this paper introduces a set of KPIs tailored for evaluating the performance of in-car ConvQA systems, along with datasets specifically designed for these KPIs.
no code implementations • 14 Oct 2023 • Md Rashad Al Hasan Rony, Christian Suess, Sinchana Ramakanth Bhat, Viju Sudhi, Julia Schneider, Maximilian Vogel, Roman Teucher, Ken E. Friedl, Soumya Sahoo
Large language models (LLMs) have demonstrated remarkable performance by following natural language instructions without fine-tuning them on domain-specific tasks and data.
1 code implementation • 4 Aug 2022 • Mojtaba Nayyeri, ZiHao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab
In our approach, we build on existing strong representations of single modalities and we use hypercomplex algebra to represent both, (i), single-modality embedding as well as, (ii), the interaction between different modalities and their complementary means of knowledge representation.
1 code implementation • Findings (NAACL) 2022 • Md Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann
Task-oriented dialogue generation is challenging since the underlying knowledge is often dynamic and effectively incorporating knowledge into the learning process is hard.
1 code implementation • ACL 2022 • Md Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann
Secondly, it should consider the grammatical quality of the generated sentence.
no code implementations • 9 Mar 2022 • Md Rashad Al Hasan Rony, Mirza Mohtashim Alam, Semab Ali, Jens Lehmann, Sahar Vahdati
The learning process of such models can be performed by contrasting positive and negative triples.
1 code implementation • 24 May 2021 • Debanjali Biswas, Mohnish Dubey, Md Rashad Al Hasan Rony, Jens Lehmann
We also present results of training our dataset on multiple baseline models adapted from current state-of-the-art Natural Language Generation (NLG) architectures.
1 code implementation • 30 Mar 2021 • Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Jens Lehmann
Generating knowledge grounded responses in both goal and non-goal oriented dialogue systems is an important research challenge.
1 code implementation • 17 Oct 2019 • Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Simon Jordan, Jens Lehmann
Non-goal oriented, generative dialogue systems lack the ability to generate answers with grounded facts.