Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Richard Eckart de Castilho"'
Publikováno v:
Genomics & Informatics, Vol 17, Iss 2 (2019)
In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are pa
Externí odkaz:
https://doaj.org/article/5d51f3e4eee74d9fa6cb0c33d56b9945
Publikováno v:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances.
Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB). To quickly annotate texts with EL even in low-resource domains and noisy text, we present a novel Human-In-The-Loop EL approach. We show that
Publikováno v:
ACL
Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB). It is crucial in a considerable number of fields like humanities, technical writing and biomedical sciences to enrich texts with semantics an
Publikováno v:
LAW@ACL
This paper describes an ecosystem consisting of three independent text annotation platforms. To demonstrate their ability to work in concert, we illustrate how to use them to address an interactive domain adaptation task in biomedical entity recognit
Publikováno v:
eScience
In the Digital Humanities (DH), linking text collections to general or domain-specific knowledge bases (KBs) or authority files is important to enable a contextualised analysis. Automatic named entity recognition and entity linking tools require trai
Publikováno v:
EMNLP (Demonstration)
Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains. It disambiguates mentions, introduces cross-document coreferences, and the resources contribute extra information, e.g. taxonomic relations. Such
Autor:
Richard Eckart de Castilho, Iryna Gurevych, Beto Boullosa, Alexander Geyken, Lothar Lemnitzer
Publikováno v:
EACL (Software Demonstrations)
This paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses. The tool uses classification and clustering methods and incorporates user feedback to r
Autor:
Chris Biemann, Richard Eckart de Castilho, Kalina Bontcheva, Iryna Gurevych, Seid Muhie Yimam
Publikováno v:
Handbook of Linguistic Annotation ISBN: 9789402408799
Effectively managing the collaboration of many annotators is a crucial ingredient for the success of larger annotation projects. For collaboration, web-based tools offer a low-entry way gathering annotations from distributed contributors. While the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18956c1279255b14e09812c5187fd673
https://doi.org/10.1007/978-94-024-0881-2_8
https://doi.org/10.1007/978-94-024-0881-2_8
Autor:
Marc Verhagen, Stephan Oepen, Emanuele Lapponi, Erik Velldal, Nancy Ide, Keith Suderman, Richard Eckart de Castilho
Publikováno v:
LAW@ACL
For decades, most self-respecting linguistic engineering initiatives have designed and implemented custom representations for various layers of, for example, morphological, syntactic, and semantic analysis. Despite occasional efforts at harmonization
Autor:
Richard Eckart de Castilho
Publikováno v:
Proceedings of the Workshop on Cross-Platform Text Mining and Natural Language Processing Interoperability (INTEROP 2016) at LREC 2016
This paper aims to motivate the hypothesis that practical interoperability can be seen as a function of whether and how stakeholder communities duplicate or divide work in a given area or market. We focus on the area of language processing which trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68678e820b5ebffbcadaa943898fda3a
https://doi.org/10.5281/zenodo.161848
https://doi.org/10.5281/zenodo.161848