Bengali Question Answering System for Factoid Questions: A statistical approach

Sarker, Sourav; Monisha, Syeda Tamanna Alam; Nahid, Mahadi Hasan

doi:10.1109/icbslp47725.2019.201512

Cited by 12 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The classical methods used in question answering system are Cosine similarity [11], Jaccard similarity [11], Anaphora-Cataphora Resolution [12], Vector Space Model [13], Se-mantic Web Technologies [14], Inductive Rule Learning and Reasoning [15], Logic Prover [16] and many more.…”

Section: B Classical Methodsmentioning

confidence: 99%

“…Decision Tree Question Answering System (Sarker et al [13]) and Sentiment Analysis (Mahtab et al [66] and Ghosal et al [68]).…”

Section: Heuristic 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%

“…Sarker et al [13] proposed a factoid question answering system on the closed domain [136] of Shahjalal University of Science & Technology (SUST) for helping the admission tests candidates. For question and document categorization, the authors selected five coarse-grained classes.…”

Section: ) Combination Of Classical and ML Approachesmentioning

confidence: 99%

“…Machine Learning Methods used in BNLP. Sharif et al[77]), Speech Processing and Recognition (Sumon et al[47] and Palaz et al[48]), Question Answering System (Sarker et al[13]), and Sentiment Analysis (Tripto et al[63] and Sarkar[64]). Kowsher et al[11]), Word Sense Disambiguation (Nazah et al[80]), and Sentiment Analysis(Tripto et al.…”

mentioning

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

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 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,

show abstract

Section: B Classical Methodsmentioning

confidence: 99%

“…Decision Tree Question Answering System (Sarker et al [13]) and Sentiment Analysis (Mahtab et al [66] and Ghosal et al [68]).…”

Section: Heuristic Methodsmentioning

confidence: 99%

Section: B Preprocessingmentioning

confidence: 99%

Section: ) Combination Of Classical and ML Approachesmentioning

confidence: 99%

mentioning

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

Analysis of Bangla Transformation of Sentences Using Machine Learning

Das

Sammi

Kobra

et al. 2023

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

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

Bengali Question Answering System for Factoid Questions: A statistical approach

Cited by 12 publications

References 7 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

Analysis of Bangla Transformation of Sentences Using Machine Learning

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

Contact Info

Product

Resources

About