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Deep learning based question answering system in Bengali
2020
Journal of Information and Telecommunication
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Recent advances in the field of natural language processing has improved state-of-the-art performances on many tasks including question answering for languages like English. ...
Unlike English, there is no benchmark large scale QA dataset collected for Bengali, no pretrained language model that can be modified for Bengali question answering and no human baseline score for QA has ...
His current research interests are in data science, cloud load characterization, optimization of cloud resource placements, deep learning, etc. ...
doi:10.1080/24751839.2020.1833136
fatcat:ltwrsufie5hrrezjtv2tu56fjy
A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
[article]
2020
arXiv
pre-print
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Question Classification (QC) system classifies the questions in particular classes so that Question Answering (QA) System can provide correct answers for the questions. ...
Our system categorizes the factoid type questions asked in natural language after extracting features of the questions. We present a two stage QC system for Bengali. ...
Conclusion We have introduced a two stage approach for Bengali question classificationa deep learning based approach in the first stage and a gradient descent based approach in the second stage. ...
arXiv:1912.00127v3
fatcat:z5oxqkakybctnm7o2sz5acwwja
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification
[article]
2019
arXiv
pre-print
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We present a comprehensive comparison (performance and computational complexity) among some machine learning based approaches used in QC for Bengali language. ...
QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA system. ...
Future work should aim at developing a richer corpus of Bengali questions which will help in getting better vector representation of words and thus will facilitate deep learning based automatic feature ...
arXiv:1911.03059v2
fatcat:lrgmougc6rcjbixsugopvuufhi
Code mixed cross script factoid question classification - A deep learning approach
2018
Journal of Intelligent & Fuzzy Systems
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for less-computerized languages to build question answering systems. ...
We combine deep learning framework with feature engineering to address the question classification task and enhance the state-of-the-art question classification accuracy by over 4% for code-mixed cross-script ...
In this paper, we studied the question classification task on Bengali-English CMCS data by employing a CNN based deep learning framework. ...
doi:10.3233/jifs-169481
fatcat:c4nvgunbqvefhjqtufzh6stpja
Transformer Based Bengali Chatbot Using General Knowledge Dataset
[article]
2021
arXiv
pre-print
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In this research, we applied the transformer model for Bengali general knowledge chatbot based on the Bengali general knowledge Question Answer (QA) dataset. ...
RNN model regularly used for determining the sequence-related problem like a question and it answers. This approach acquainted with everyone as seq2seq learning. ...
Dataset properties For the research, we used Bengali general knowledge-based question answering dataset. The dataset contains three attributes. ...
arXiv:2111.03937v2
fatcat:lqbpqs7tkbhcbeugomeap53ika
Classifier combination approach for question classification for Bengali question answering system
2019
Sadhana (Bangalore)
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task in Bengali. ...
Question classification (QC) is a prime constituent of automated question answering system. ...
Introduction A Question Answering (QA) system is an automatic system capable of answering natural language questions in a humanlike manner: with a concise, precise answer. ...
doi:10.1007/s12046-019-1224-8
fatcat:xlrnw2vwhvaqzoi7rt3ae53lbi
Enhancing the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques
2020
International Journal of Engineering and Advanced Technology
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This research is extremely useful for the automatic question answering system, semantic similarity analysis, e-governance and m- governance. ...
However, it can happen that the user query or question and the best available answer or result in the internet domain has no terms in common or ignorable number of terms is common. ...
ACKNOWLEDGMENT We sincerely express our gratitude to Professor N S Dash of the Language Research Unit (LRU) of ISI Kolkata for providing his valuable time to evaluate the performance of the system. ...
doi:10.35940/ijeat.b3566.029320
fatcat:hn455gvovrchhclo7s3nxzflne
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
[article]
2021
arXiv
pre-print
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in Bengali, English, and Hindi. ...
The widespread presence of offensive language on social media motivated the development of systems capable of recognizing such content automatically. ...
In these experiments, however, the transfer learning's base language was English whereas here we use two languages related to Marathi: Bengali and Hindi, in order to evaluate the extent to which language ...
arXiv:2109.03552v1
fatcat:bliymnqtgfbgtfa2xwkgxiygzy
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences
[article]
2018
arXiv
pre-print
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We have tried to answer two important questions: 1. Does NMT perform equivalently well with respect to SMT and 2. ...
All of the systems use English-Hindi and English-Bengali language pairs containing simple sentences as well as sentences of other complexity. ...
Table 3 : 3 Confusion matrix for deep learning based approach. ...
arXiv:1812.04898v1
fatcat:xgo73x6w3vbg5glut77o3hi3j4
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages
[article]
2022
arXiv
pre-print
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Accuracy of English-language Question Answering (QA) systems has improved significantly in recent years with the advent of Transformer-based models (e.g., BERT). ...
However, directly training an mBERT-based QA system for low-resource languages is challenging due to the paucity of training data. ...
We utilize modern open-source deep learning models to translate the ChAII dataset into different languages from two language families namely, Dravidian, and Indo-Aryan, and use them to improve the question-answering ...
arXiv:2204.05814v1
fatcat:xtipucxr5vfqbbsm3l4f6l7di4
Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora
2018
Journal of Intelligent Systems
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Here, the performance of deep learning on this task is compared to feature-based learning, with two Recursive Neural Network techniques, Long Short Term Memory (LSTM) and bidirectional LSTM, being contrasted ...
This article addresses language identification at the word level in Indian social media corpora taken from Facebook, Twitter and WhatsApp posts that exhibit code-mixing between English-Hindi, English-Bengali ...
Deep Learning-Based Approach A recurrent neural network (RNN) is a deep learning approach where the recurrent connections are loops in the network that allow it to maintain a memory based on history information ...
doi:10.1515/jisys-2017-0440
fatcat:o6yxge7rzne3lcrgtm7hedrsyi
A Systematic Literature Review on Text Generation Using Deep Neural Network Models
2022
IEEE Access
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To the best of our knowledge, there is a lack of extensive review and up-to-date body of knowledge of text generation deep learning models. ...
In the end, we provide some future directions for researchers and guidelines for practitioners based on the findings of this review. ...
, dataset balancing [6] , [7] , next word prediction & text suggestion in chatting, generation of answers to questions in question answering system, in chatbots [8] , [9] , machine learning translation ...
doi:10.1109/access.2022.3174108
fatcat:662z5imliba2zosgrqdhm55dcy
A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques
[article]
2020
arXiv
pre-print
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Our system has achieved the efficiency to predict the correct semantics using knowledge base over the time of learning. ...
An available Bengali repository was chosen to have seven types of semantic properties primarily to develop the system. ...
He being the renowned linguist also helped in evaluation. ...
arXiv:1911.01256v2
fatcat:ui5oscjjc5bgjftpcjdtxijc7e
Ishwar Chandra Vidyasagar's Contribution in the Development of Bengali Language and Literature and Its Relevance in Present Context
2018
Asian Review of Social Sciences
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He is known not only for his contribution in the field of educational and social reformation, but also for his literary works and contribution in the development of modern Bengali language. ...
So, the researcher aims to find out the literary works of Ishwar Chandra, his contributions in the development of modern Bengali language and its present day relevancy in education. ...
He has made unforgettable contribution in the social reformation, educational reformation and development of Bengali literature. ...
doi:10.51983/arss-2018.7.2.1439
fatcat:c4fhxdgstbaxtei3aa4vg5ahie
SD-QA: Spoken Dialectal Question Answering for the Real World
[article]
2021
arXiv
pre-print
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Question answering (QA) systems are now available through numerous commercial applications for a wide variety of domains, serving millions of users that interact with them via speech interfaces. ...
in 24 dialects from 255 speakers. ...
Towards more equitable question answering
systems: How much more data do you need? ...
arXiv:2109.12072v1
fatcat:pyy66fqphjb3fnw2lsk52eeovq
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