Results 31 to 40 of about 824,215 (366)

Outsourcing logistics operations in circular economy towards to sustainable development goals

open access: yesBusiness Strategy and the Environment, Volume 32, Issue 1, Page 134-162, January 2023., 2023
Abstract One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources.
Navid Zarbakhshnia   +3 more
wiley   +1 more source

OGER++: hybrid multi-type entity recognition

open access: yesJournal of Cheminformatics, 2019
Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer   +3 more
doaj   +1 more source

Inter-Coder Agreement for Computational Linguistics [PDF]

open access: yes, 2008
This article is a survey of methods for measuring agreement among corpus annotators. It exposes the mathematics and underlying assumptions of agreement coefficients, covering Krippendorff's alpha as well as Scott's pi and Cohen's kappa; discusses the ...
Atkins Sue   +12 more
core   +2 more sources

Improving spaCy dependency annotation and PoS tagging web service using independent NER services [PDF]

open access: yesGenomics & Informatics, 2019
Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology.
Nico Colic, Fabio Rinaldi
doaj   +1 more source

Computational historical linguistics [PDF]

open access: yesTheoretical Linguistics, 2019
AbstractComputational approaches to historical linguistics have been proposed for half a century. Within the last decade, this line of research has received a major boost, owing both to the transfer of ideas and software from computational biology and to the release of several large electronic data resources suitable for systematic comparative work. In
openaire   +4 more sources

Computational linguistics

open access: yes, 2022
Computational Linguistics (CL) is an interdisciplinary field at the intersection of Artificial Intelligence, Linguistics, Cognitive Science, and Computer Science, devoted to the study of natural language from a computational perspective. The main theoretical and engineering goals are the understanding of natural language and the consequent development ...
Toral Ruiz, Antonio, Caselli, Tommaso
openaire   +1 more source

The Bulgarian National Corpus: Theory and Practice in Corpus Design

open access: yesJournal of Language Modelling, 2012
The paper discusses several key concepts related to the development of corpora and reconsiders them in light of recent developments in NLP. On the basis of an overview of present-day corpora, we conclude that the dominant practices of corpus design do ...
Svetla Koeva   +5 more
doaj   +1 more source

Modeling the Paraphrase Detection Task over a Heterogeneous Graph Network with Data Augmentation

open access: yesInformation, 2020
Paraphrase detection is a Natural-Language Processing (NLP) task that aims at automatically identifying whether two sentences convey the same meaning (even with different words). For the Portuguese language, most of the works model this task as a machine-
Rafael T. Anchiêta   +2 more
doaj   +1 more source

Compositionality in Computational Linguistics

open access: yesAnnual Review of Linguistics, 2023
Neural models greatly outperform grammar-based models across many tasks in modern computational linguistics. This raises the question of whether linguistic principles, such as the Principle of Compositionality, still have value as modeling tools. We review the recent literature and find that while an overly strict interpretation of compositionality ...
Donatelli, Lucia, Koller, Alexander
openaire   +1 more source

CurFi: An automated tool to find the best regression analysis model using curve fitting

open access: yesEngineering Reports, Volume 4, Issue 12, December 2022., 2022
An automated curve fitting system named “CurFi” is developed that uses linear regression models to fit a curve to a dataset and to find out the best fit model. The system facilitates to upload a dataset, split the dataset into training set and test set, select relevant features and label from the dataset; and the system will return the best fit linear ...
Ayon Roy   +4 more
wiley   +1 more source

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