Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Niladri Sekhar Dash"'
Autor:
Rajat Pandit, Saptarshi Sengupta, Sudip Kumar Naskar, Niladri Sekhar Dash, Mohini Mohan Sardar
Publikováno v:
Informatics, Vol 6, Iss 2, p 19 (2019)
Semantic similarity is a long-standing problem in natural language processing (NLP). It is a topic of great interest as its understanding can provide a look into how human beings comprehend meaning and make associations between words. However, when t
Externí odkaz:
https://doaj.org/article/fd5d0d71e318499f8f14b8de527467e2
Autor:
Niladri Sekhar Dash, Srija Deb, Nirnoy Dutta, Meghna Majumder, Amrita Bhattacharyya, Subhadip Mondal, Alok Ranjan Pal
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Publikováno v:
Digitalization of Culture Through Technology ISBN: 9781003332183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327e51b03c5d21c31001f79fb4069ed9
https://doi.org/10.4324/9781003332183-16
https://doi.org/10.4324/9781003332183-16
Publikováno v:
International Journal of Speech Technology. 24:439-454
The paper presents a study on word sense disambiguation (WSD) in Bengali, one of the less resourced Indian languages. The overall work is carried out in two sequential phases. In the first phase, four well-known approaches, which are often applied fo
Publikováno v:
Artificial Intelligence Review. 54:3007-3054
Automatic text categorization is the operation of sorting out the text documents into pre-defined text categories using some machine learning algorithms. Normally, it defines the most important approaches to organizing and making the use of a large v
Publikováno v:
Biologically Inspired Techniques in Many Criteria Decision Making ISBN: 9789811687389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65248c23a8ee71f9e71ac672f08c88a5
https://doi.org/10.1007/978-981-16-8739-6_39
https://doi.org/10.1007/978-981-16-8739-6_39
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 19:1-18
Technology has evolved remarkably, which has led to an exponential increase in the availability of digital text documents of disparate domains over the Internet. This makes the retrieval of the information a very much time- and resource-consuming tas
Autor:
Niladri Sekhar Dash
Publikováno v:
Language Corpora Annotation and Processing ISBN: 9789811629594
Some of the basic and preliminary ideas of text annotation and text processing techniques, which are normally carried out on a corpus of written and spoken texts are addressed in this chapter. Keeping non-trained linguistic scholars and common lingui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d2babd91d1163433c90a77a625ab1c
https://doi.org/10.1007/978-981-16-2960-0_1
https://doi.org/10.1007/978-981-16-2960-0_1
Autor:
Niladri Sekhar Dash
Publikováno v:
Language Corpora Annotation and Processing ISBN: 9789811629594
In this chapter, we describe some principles and rules that we apply during the process of part-of-speech (POS) annotation on a written text corpus. For various practical and theoretical reasons, these principles and rules become useful and relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd8ac8ca20398502f881dbe70315845
https://doi.org/10.1007/978-981-16-2960-0_2
https://doi.org/10.1007/978-981-16-2960-0_2
Autor:
Kaushik Roy, Himadri Mukherjee, Sk Md Obaidullah, Ankita Dhar, K. C. Santosh, Niladri Sekhar Dash
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605062
RTIP2R (1)
RTIP2R (1)
The instantaneous magnification of digital texts has made text categorization a prime technique for managing and sorting text data. The goal of this study is to present a lazy learning-based text categorization system using text representation featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6e7b6d24b3358f1b15fbf4f010a0fa
https://doi.org/10.1007/978-981-16-0507-9_30
https://doi.org/10.1007/978-981-16-0507-9_30