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356
Hits 1 – 20 of 7.114
1
Anna Dagui, Matthew Kaitib and Augusta Silim - Manam Customs
Danielle Barth
;
Anna Dagui
;
Matthew Kaitib
. - 2023-09-10
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2
Multiagent Dynamics of Gradual Argumentation Semantics
Dupuis de Tarlé, Louise
;
Bonzon, Elise
;
Maudet, Nicolas
In: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; https://hal.archives-ouvertes.fr/hal-03584238 ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022, Auckland (virtual), New Zealand (2022)
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3
Multiagent Dynamics of Gradual Argumentation Semantics
Dupuis, Louise
;
Bonzon, Elise
;
Maudet, Nicolas
In: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; https://hal.archives-ouvertes.fr/hal-03584238 ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022, Auckland (virtual), New Zealand (2022)
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4
Analysis of ancestry heterozygosity suggests that hybrid incompatibilities in threespine stickleback are environment dependent.
Thompson, Ken A
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Peichel, Catherine L
;
Rennison, Diana J
...
In: PLoS biology, vol 20, iss 1 (2022)
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5
Comment on "Fijian Polygenesis and the Melanesian/Polynesian divide " by D. Burley
Spriggs, Matthew
In: Current Anthropology (2022)
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6
Broad strokes or fine points: Are Dialectical Behavior Therapy modules associated with general or domain-specific changes? ...
Southward, Matthew
. - : Open Science Framework, 2022
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7
Additional file 2 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
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8
Additional file 2 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
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9
Additional file 3 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
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10
Additional file 5 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
BASE
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11
Additional file 5 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
BASE
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12
Additional file 3 of Overcoming the language barrier: a novel curriculum for training medical students as volunteer medical interpreters ...
Carlson, Erik S
;
Barriga, Tatiana M
;
Lobo, Dale
. - : figshare, 2022
BASE
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13
Class politics and ideology in revolutionary Egypt ...
Wainscott, Matthew
. - : Macquarie University, 2022
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14
Class politics and ideology in revolutionary Egypt ...
Wainscott, Matthew
. - : Macquarie University, 2022
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15
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection ...
Kovatchev, Venelin
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Gupta, Soumyajit
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Lease, Matthew
. - : arXiv, 2022
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16
EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
Freienthal, Linda
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Pelicon, Andraž
;
Martinc, Matej
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Škrlj, Blaž
;
Krustok, Ivar
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Pranjić, Marko
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Cabrera-Diego, Luis Adrián
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Purver, Matthew
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Pollak, Senja
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Kuulmets, Hele-Andra
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Shekhar, Ravi
;
Koloski, Boshko
. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022
Abstract:
This dataset contains articles from EMBEDDIA Media partners with various information added by the tools developed within the EMBEDDIA project: - 12,390 Estonian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1408 - 5,000 Croatian articles from autumn of 2010 with tags given by 24sata. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1410 - 15,264 Latvian articles from 2019 with tags given by Ekspress Meedia. The complete dataset without the output of EMBEDDIA tools is available at http://hdl.handle.net/11356/1409 All the articles in the dataset have been analysed with texta-mlp Python package (https://pypi.org/project/texta-mlp/) via the EMBEDDIA Media assistant's Texta Toolkit (https://docs.texta.ee/). The tools used to analyse the articles were the following: - Latin1 and Latin2 Name Entity Recognition Tool modules (Cabrera-Diego et al., 2021, both described in https://aclanthology.org/2021.bsnlp-1.12/) . The Latin 1 results can be found folders annotated_articles_ner_latin1/ and annotated_articles_all_tools/, while the Latin 2 results are in annotated_articles_nerlatin2/ or annotated_articles_all_tools/. - RAKUN keyword extractor. RAKUN (Škrlj et al. 2019) is an unsupervised system for keyword extraction, so it can be used for any language. It detects keywords by turning text into a graph and the most important nodes in the graph mostly turn out to be the keywords. It is described in https://link.springer.com/chapter/10.1007/978-3-030-31372-2_26. The keyword annotation results can be found in the folder annotated_articles_rakun/ or annotated_articles_all_tools/. - TNT-KID keyword extractor. TNT-KID (Martinc et al. 2021, ) is a supervised system for automatic keyword extraction. It was trained on a corpus of articles with human-assigned keywords. For Croatian, the annotators were 24sata editors, for Estonian the Ekspress Meedia staff and for Latvian the Latvian Delfi staff. The system is further documented at https://doi.org/10.1017/S1351324921000127. For Croatian only TNT-KID was applied, while for Estonian and Latvian, the TNT-KID with TF-IDF, and extension by Koloski et al. (https://aclanthology.org/2021.hackashop-1.4.pdf) was used. The results of applying this tool are found in the folder annotated articles tnt_kid/ or annotated articles all tools/. - Sentiment analysis. Our news sentiment analyser (Pelicon et al. 2020) labels a news article as being of positive, negative, or neutral sentiment, using a fine-tuned multilingual BERT model, which was trained on Slovene sentiment annotated news articles. The system is further documented in https://doi.org/10.3390/app10175993. The results of this tools are found in the folder annotated articles sentiment/ or annotated articles all tools/. All the data is encoded in "JSON Lines" format. Each folder has its own README file which explains the structure of the files.
Keyword:
keyword extraction
;
named entity recognition
;
sentiment classification
URL:
http://hdl.handle.net/11356/1485
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17
Threat assessment, sense making, and critical decision-making in police, military, ambulance, and fire services
Penney, Greg
;
Launder, David
;
Cuthbertson, Joe
...
In: Research outputs 2022 to 2026 (2022)
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18
Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
Williams, Louise R.
;
Ali, Myzoon
;
VandenBerg, Kathryn
...
In: Research outputs 2014 to 2021 (2022)
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19
explosion/spaCy: v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish ...
Montani, Ines
;
Honnibal, Matthew
;
Honnibal, Matthew
. - : Zenodo, 2022
BASE
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20
huggingface/datasets: 1.18.1 ...
Lhoest, Quentin
;
Moral, Albert Villanova Del
;
Von Platen, Patrick
. - : Zenodo, 2022
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