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pro vyhledávání: '"Samee, Muhammad Rifayat"'
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:
Samee, Muhammad Rifayat
Publikováno v:
Electronic Thesis and Dissertation Repository
Sequence Labelling is the task of mapping sequential data from one domain to another domain. As we can interpret language as a sequence of words, sequence labelling is very common in the field of Natural Language Processing (NLP). In NLP, some fundam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1548::8d6f94a3388b61d165d2e89cec504e60
https://ir.lib.uwo.ca/context/etd/article/8258/viewcontent/Thesis.pdf
https://ir.lib.uwo.ca/context/etd/article/8258/viewcontent/Thesis.pdf