Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Nayeem, Mir Tafseer"'
Autor:
Nayeem, Mir Tafseer, Rafiei, Davood
Online reviews play a pivotal role in influencing consumer decisions across various domains, from purchasing products to selecting hotels or restaurants. However, the sheer volume of reviews -- often containing repetitive or irrelevant content -- lea
Externí odkaz:
http://arxiv.org/abs/2410.13037
Autor:
Nayeem, Mir Tafseer, Rafiei, Davood
Recent studies highlight the potential of large language models in creating educational tools for children, yet significant challenges remain in maintaining key child-specific properties such as linguistic nuances, cognitive needs, and safety standar
Externí odkaz:
http://arxiv.org/abs/2410.03884
Millions of news articles published online daily can overwhelm readers. Headlines and entity (topic) tags are essential for guiding readers to decide if the content is worth their time. While headline generation has been extensively studied, tag gene
Externí odkaz:
http://arxiv.org/abs/2406.03776
Autor:
Islam, Mohammed Saidul, Rahman, Raian, Masry, Ahmed, Laskar, Md Tahmid Rahman, Nayeem, Mir Tafseer, Hoque, Enamul
Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural language, various downstream tasks have been introduced recently such as ch
Externí odkaz:
http://arxiv.org/abs/2406.00257
Autor:
Kabir, Mohsinul, Islam, Mohammed Saidul, Laskar, Md Tahmid Rahman, Nayeem, Mir Tafseer, Bari, M Saiful, Hoque, Enamul
Large Language Models (LLMs) have emerged as one of the most important breakthroughs in NLP for their impressive skills in language generation and other language-specific tasks. Though LLMs have been evaluated in various tasks, mostly in English, the
Externí odkaz:
http://arxiv.org/abs/2309.13173
Autor:
Nayeem, Mir Tafseer, Rafiei, Davood
Helpful reviews have been essential for the success of e-commerce services, as they help customers make quick purchase decisions and benefit the merchants in their sales. While many reviews are informative, others provide little value and may contain
Externí odkaz:
http://arxiv.org/abs/2303.00923
Autor:
Chowdhury, Radia Rayan, Nayeem, Mir Tafseer, Mim, Tahsin Tasnim, Chowdhury, Md. Saifur Rahman, Jannat, Taufiqul
Abstractive summarization systems generally rely on large collections of document-summary pairs. However, the performance of abstractive systems remains a challenge due to the unavailability of parallel data for low-resource languages like Bengali. T
Externí odkaz:
http://arxiv.org/abs/2102.04490
Determining the readability of a text is the first step to its simplification. In this paper, we present a readability analysis tool capable of analyzing text written in the Bengali language to provide in-depth information on its readability and comp
Externí odkaz:
http://arxiv.org/abs/2012.07701
Autor:
Nayeem, Mir Tafseer, Chali, Yllias
In this work, we aim at developing an extractive summarizer in the multi-document setting. We implement a rank based sentence selection using continuous vector representations along with key-phrases. Furthermore, we propose a model to tackle summary
Externí odkaz:
http://arxiv.org/abs/1706.06542
Autor:
Akand, Md. Mamunur Rashid, Nayeem, Mir Tafseer, Sumon, Md. Rokon Uz Zaman, Alam, Muhammad Mahbub
Routing in VANETs (Vehicular Ad hoc NETworks) is a challenging task due to large network sizes, rapidly changing topology and frequent network disconnections. State-of-the-art routing protocols tried to address these specific problems especially in c
Externí odkaz:
http://arxiv.org/abs/1411.2931