Design and Development of Question Answering System in Bangla Language from Multiple Documents

Islam, Samina Tasnia; Huda, Mohammad Nurul

doi:10.1109/icasert.2019.8934447

Cited by 3 publications

(8 citation statements)

References 8 publications

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“…Islam et al [57] Wikipedia documents and 500 questions. The precision of 0.35 recall of 0.65 and the F score of 0.45 was obtained.…”

Section: Article Dataset and Results Preprocessing Steps And Methodsmentioning

confidence: 99%

“…The general and most used preprocessing techniques in text data that are used in Natural language processing are To- kenization [93], [13], Removal of Noise and Outliers [94], Lower Casing [21], Removal of Stop Words [57], Integration of Raw data [95], Text Stemming [60], Dimensionality Reduction [96], Text Lemmatization [11], Parts of Speech Tagging [97], Removal of HTML tags [98], Removal of URLs [99], Spelling Correction [100], Removal of Emoticons [101] [65], Removing Punctuations or Special Characters [11] [58], Removing Frequent words [102], Removing of Rare words [103], Removing Single Characters [104], Removing Extra Whitespaces [105], Removal of Numerical Values [58], Removing Alphabets [59], Data Compression [106], Converting Emojis to Words [107], Converting Numbers to Words [108],…”

Section: B Preprocessingmentioning

confidence: 99%

“…In 2019, Islam et al [57] proposed an automatic question answering system for Bangla language from single and multiple documents. The proposed system identifies the question type, and for measurement of time and quantity-related questions, it provides relevant specific answers; otherwise, it retrieves relevant answers based on the questions.…”

Section: ) Machine Learning Approachesmentioning

confidence: 99%

“…Question Answering System (Islam et al [57]), Machine Translation (Islam et al [70]), and Parts of Speech Tagging (Hasan et al [27]).…”

Section: N-gram Modelmentioning

confidence: 99%

“…Word or phrase based answer type classification for Bangla Q/A system. Islam et al [57] Several documents from Wikipedia were collected, and 500 questions were selected from these proposed documents. Bangla Q/A system for multiple documents.…”

Section: Article Dataset Description Taskmentioning

confidence: 99%

See 4 more Smart Citations

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Sen,

Fuad,

Islam

et al. 2021

Preprint

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The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many Bangla-speaking people, who have limited command of English, face hurdles to utilize English resources. To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials. Many efforts are also ongoing to make it easy to use the Bangla language in the online and technical domains. There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends. The studies are mainly concentrated on the specific domains of BNLP, such as sentiment analysis, speech recognition, optical character recognition, and text summarization. There is an apparent scarcity of resources that contain a comprehensive study of the recent BNLP tools and methods. Therefore, in this paper, we present a thorough review of 71 BNLP research papers and categorize them into 11 categories,

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“…Islam et al [57] Wikipedia documents and 500 questions. The precision of 0.35 recall of 0.65 and the F score of 0.45 was obtained.…”

Section: Article Dataset and Results Preprocessing Steps And Methodsmentioning

confidence: 99%

Section: B Preprocessingmentioning

confidence: 99%

Section: ) Machine Learning Approachesmentioning

confidence: 99%

“…Question Answering System (Islam et al [57]), Machine Translation (Islam et al [70]), and Parts of Speech Tagging (Hasan et al [27]).…”

Section: N-gram Modelmentioning

confidence: 99%

Section: Article Dataset Description Taskmentioning

confidence: 99%

See 3 more Smart Citations

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Sen,

Fuad,

Islam

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

et al. 2022

View full text Add to dashboard Cite

The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many Bangla-speaking people, who have limited command of English, face hurdles to utilize English resources. To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials. Many efforts are also ongoing to make it easy to use the Bangla language in the online and technical domains. There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends. The studies are mainly concentrated on the specific domains of BNLP, such as sentiment analysis, speech recognition, optical character recognition, and text summarization. There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods. Therefore, in this paper, we present a thorough analysis of 75 BNLP research papers and categorize them into 11 categories,

show abstract

A Deep Learning-Based Bengali Visual Question Answering System Using Contrastive Loss

Zaman,

Shah

et al. 2024

2024 6th International Conference on Electrical Engineering and Information &Amp;amp; Communication Technology (ICEEICT)

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Design and Development of Question Answering System in Bangla Language from Multiple Documents

Cited by 3 publications

References 8 publications

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

A Deep Learning-Based Bengali Visual Question Answering System Using Contrastive Loss

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