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Neural Entity Linking: A Survey of Models Based on Deep Learning
[article]
2021
arXiv
pre-print
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In this survey, we provide a comprehensive description of recent neural entity linking (EL) systems developed since 2015 as a result of the "deep learning revolution" in NLP. ...
The vast variety of modifications of this general neural entity linking architecture are grouped by several common themes: joint entity recognition and linking, models for global linking, domain-independent ...
The work of Artem Shelmanov in the current study (preparation of sections related to application of entity linking to neural language models, entity ranking, contextmention encoding, and overall harmonization ...
arXiv:2006.00575v3
fatcat:ra3kwc4tmbfhlmgtlevkcshcqq
Challenges for annotating images for sense disambiguation
2006
Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora 2006 - LAC '06
unpublished
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The views expressed are not necessarily endorsed by the sponsors. We also thank anonymous reviewers for improvements in the final version. Acknowledgment. ...
Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005
Acknowledgement This research was supported, in part, by the National Science Foundation under Grant CNI-0551615. ...
As with POS tagging, chunking, and named entity recognition, SRL can also be formulated as a sentence tagging problem. ...
doi:10.3115/1641991.1641992
fatcat:anbt5zqbzjb5lpyqdzy6hwpehq
Knowledge-driven entity recognition and disambiguation in biomedical text
[article]
2017
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Entity recognition and disambiguation (ERD) for the biomedical domain are notoriously difficult problems due to the variety of entities and their often long names in many variations. ...
The first contribution is a fast dictionary lookup method for entity recognition that maximizes throughput while balancing the loss of precision and recall. ...
The CLEF-ER laboratory shared task [158] provides parallel corpora in 5 European languages, and the participating methods must disambiguate entities using the English corpus plus one or more non-English ...
doi:10.22028/d291-26790
fatcat:twz6ditmfzgldghwk6cia3gle4
Rachel Mor-ton, and Hartmut Wick
2013
References Eric Atwell
unpublished
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This survey examines the feedback in current Computer Assisted Pronunciation Training (CAPT) systems and focus on perceptual feedback. ...
The advantages of perceptual feedback are presented, while on the other hand, the reasons why it has not been integrated into commercial CAPT systems are also discussed. ...
Lamia Hadrich Belguith for their valuable comments and participation in the progress of this work within the ANLP-MIRACL laboratory.
Acknowledgments The author thanks his advisor, Prof. Dr.sc. ...
fatcat:jiw36rob5nhlhd3zeknq2ohate
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
2021
Zenodo
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To enable plagiarism checks of figures in academic documents, the thesis introduces an image-based detection process that adapts itself to the forms of image similarity typically found in academic work ...
To improve the identification of plagiarism in disciplines like mathematics, physics, and engineering, the thesis presents the first plagiarism detection approach that analyzes the similarity of mathematical ...
However, the creators of the datasets selected 7 Parallel corpora consist of texts in language A and the translations of the texts in language B. ...
doi:10.5281/zenodo.4913344
fatcat:xmpaahvwuva53l5l5i2gaidvi4
Health—exploring complexity: an interdisciplinary systems approach HEC2016
2016
European Journal of Epidemiology
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Semantic annotation of data models [4] can support mapping of data elements between different data sources, even in a multi-lingual setting. ...
Furthermore, age-specific changes in symptoms and laboratory parameters hinder the differentiation of both entities in pediatric patients. ...
In this context, we obtained P from the Open-Directory Project. ...
doi:10.1007/s10654-016-0183-1
pmid:27522353
fatcat:dcl3nbpygvh5fg7keri74h55ie
Citation-based Plagiarism Detection - applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications
[article]
2018
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Dictionaries can be trained by analyzing parallel [58, 257] or comparable corpora [259] . A detailed review of CLIR models is beyond the scope of this thesis. ...
journal articles from the biomedical and life sciences. ...
Examining a sample of 15 document pairs from the group with authors in common yielded: -Six duplicate submissions of the respective journal to PMC. -Six updates on prior research. ...
doi:10.25673/4083
fatcat:zkeonqwdpvgxpnab2wzxnbym7m