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pro vyhledávání: '"Ahmed, Mahtab"'
Summarization of long-form text data is a problem especially pertinent in knowledge economy jobs such as medicine and finance, that require continuously remaining informed on a sophisticated and evolving body of knowledge. As such, isolating and summ
Externí odkaz:
http://arxiv.org/abs/2204.09716
In Natural Language Processing (NLP), we often need to extract information from tree topology. Sentence structure can be represented via a dependency tree or a constituency tree structure. For this reason, a variant of LSTMs, named Tree-LSTM, was pro
Externí odkaz:
http://arxiv.org/abs/1901.00066
Word sense disambiguation (WSD) is a well researched problem in computational linguistics. Different research works have approached this problem in different ways. Some state of the art results that have been achieved for this problem are by supervis
Externí odkaz:
http://arxiv.org/abs/1809.01074
Sequence labelling is the task of assigning categorical labels to a data sequence. In Natural Language Processing, sequence labelling can be applied to various fundamental problems, such as Part of Speech (POS) tagging, Named Entity Recognition (NER)
Externí odkaz:
http://arxiv.org/abs/1807.10805
Identifying interactions between proteins is important to understand underlying biological processes. Extracting a protein-protein interaction (PPI) from the raw text is often very difficult. Previous supervised learning methods have used handcrafted
Externí odkaz:
http://arxiv.org/abs/1808.03227
Autor:
Akhand, M. A. H.1 akhand@cse.kuet.ac.bd, Ahmed, Mahtab1 navidcse@gmail.com, Rahman, M. M. Hafizur2 rahmanjaist@gmail.com, Islam, Md. Monirul3 mdmonirulislam@cse.buet.ac.bd
Publikováno v:
IETE Journal of Research. Mar2018, Vol. 64 Issue 2, p176-194. 19p.
Autor:
Ahmed, Mahtab
Publikováno v:
Electronic Thesis and Dissertation Repository
Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Many Natural Language applications are powered by machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1548::4e65da529f8e0d1a67cdc378ed80a62d
https://ir.lib.uwo.ca/context/etd/article/10295/viewcontent/Thesis.pdf
https://ir.lib.uwo.ca/context/etd/article/10295/viewcontent/Thesis.pdf
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