Results 271 to 280 of about 82,529 (316)
Some of the next articles are maybe not open access.
Communications of the ACM, 2021
Natural language processing delves more deeply into its knowledge gap.
openaire +1 more source
Natural language processing delves more deeply into its knowledge gap.
openaire +1 more source
2005
F-measure is an indicator which has been commonly used for 25 years to evaluate classification algorithms in textmining, based on precision and recall. For classification and information retrieval, some prefer to use the break even point. Nevertheless, these measures have some inconvenient: they use a binary logic and don't allow to apply a user (judge)
Didier Nakache +2 more
openaire +2 more sources
F-measure is an indicator which has been commonly used for 25 years to evaluate classification algorithms in textmining, based on precision and recall. For classification and information retrieval, some prefer to use the break even point. Nevertheless, these measures have some inconvenient: they use a binary logic and don't allow to apply a user (judge)
Didier Nakache +2 more
openaire +2 more sources
NLP-PIPE: Latvian NLP Tool Pipeline
2018The paper introduces a modular pipeline that allows to combine multiple Natural Language Processing tools into a unified framework. It aims to make NLP technology more accessible for researchers, non-experts and software developers. The paper describes the architecture of NLP-PIPE and presents publicly available NLP components for Latvian.
Arturs Znotins, Elita Cirule
openaire +1 more source
NLP+Vis: NLP Meets Visualization
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2023Shafiq Joty, Enamul Hoque, Jesse Vig
openaire +1 more source
Paradigmatic Clustering for NLP
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015How can we retrieve meaningful information from a large and sparse graph?. Traditional approaches focus on generic clustering techniques and discovering dense cumulus in a network graph, however, they tend to omit interesting patterns such as the paradigmatic relations.
Julio Santisteban +1 more
openaire +1 more source
HTP-NLP: A New NLP System for High Throughput Phenotyping
2017Secondary use of clinical data for research requires a method to quickly process the data so that researchers can quickly extract cohorts. We present two advances in the High Throughput Phenotyping NLP system which support the aim of truly high throughput processing of clinical data, inspired by a characterization of the linguistic properties of such ...
Daniel R, Schlegel +3 more
openaire +2 more sources