Results 21 to 30 of about 1,091,165 (230)

Wide-coverage deep statistical parsing using automatic dependency structure annotation [PDF]

, 2008
A number of researchers (Lin 1995; Carroll, Briscoe, and Sanfilippo 1998; Carroll et al. 2002; Clark and Hockenmaier 2002; King et al. 2003; Preiss 2003; Kaplan et al. 2004;Miyao and Tsujii 2004) have convincingly argued for the use of dependency (rather
O'Donovan, Ruth, Cahill, Aoife, O\u27Donovan, Ruth, Riezler, Stefan, Way, Andy, van Genabith, Josef, Burke, Michael, Michael Burke, Andy Way, Aoife Cahill, Josef van Genabith, Stefan Riezler, Ruth O'Donovan   +12 more
core   +2 more sources

LAKomp. Lemmatize, annotate and compare texts in non-standardized languages

RIDE, 2023
LAKomp is a semi-automatic web-based tool developed for the annotation and comparison of historical, non-standardized texts. In contrast to other tools, LAKomp does not automate annotation but makes manual annotation simple and fast offering a semi ...
Barbara Aehnlich, Elisabeth Witzenhausen
doaj   +1 more source

Automatic Annotation of Images from the Practitioner Perspective

, 2005
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval.
Lewis, Paul, Sandom, Christine J., Enser, Peter G.B.   +2 more
core   +2 more sources

Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo

Corela, 2017
Annotating spoken corpora poses unique challenges stemming from the particular characteristics of spontaneous speech and its transcription. Automatic annotation tools need to adapt to these challenges. At the same time, it is desirable to define a “least
George Christodoulides, Giulia Barreca
doaj   +1 more source

Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection

Sensors, 2020
Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau   +4 more
doaj   +1 more source

A Correlation Approach for Automatic Image Annotation

, 2006
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learning for the automatic annotation of query images.
Szedmak, S., David R. Hardoon, Hardoon, D., Craig Saunders, Shawe-Taylor, J., Sandor Szedmak, Saunders, C., John Shawe-Taylor   +7 more
core   +2 more sources

Automatic Image Annotation Based on Co-Training

Journal of Algorithms & Computational Technology, 2014
Automatic image annotation is a critical and challenging problem in pattern recognition and image understanding areas. There are some problems in existing automatic image annotation areas.
Xiao Ke, Guolong Chen
doaj   +1 more source

A Distributed Automatic Video Annotation Platform

Applied Sciences, 2020
In the era of digital devices and the Internet, thousands of videos are taken and share through the Internet. Similarly, CCTV cameras in the digital city produce a large amount of video data that carry essential information. To handle the increased video
Md Anwarul Islam, Md Azher Uddin, Young-Koo Lee   +2 more
doaj   +1 more source

Principes et outils pour l’annotation des corpus

TIPA. Travaux interdisciplinaires sur la parole et le langage, 2023
Corpus linguistics (i.e. research on language based on written or oral linguistic material that has been collected and saved) has been considerably developed over the last decades. This development has occurred using more numerous and larger corpora. The
Mary Amoyal, Roxane Bertrand, Brigitte Bigi, Auriane Boudin, Christine Meunier, Berthille Pallaud, Béatrice Priego-Valverde, Stéphane Rauzy, Marion Tellier   +8 more
doaj   +1 more source

Beat-Level Interpretation of Intra-Patient Paradigm Based on Object Detection

Frontiers in Cardiovascular Medicine, 2022
Electrocardiogram (ECG), as a product that can most directly reflect the electrical activity of the heart, has become the most common clinical technique used for the analysis of cardiac abnormalities. However, it is a heavy and tedious burden for doctors
Man Kang, Man Kang, Xue-Feng Wang, Xue-Feng Wang, Jing Xiao, He Tian, He Tian, Tian-Ling Ren, Tian-Ling Ren   +8 more
doaj   +1 more source