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2RCV1: A new benchmark collection for text categorization research
D. Lewis, Y. Yang, T. Rose, G. Dietterich, F. Li, and F. Li. Journal of Machine Learning Research, (2004)
16 years ago by @zeno
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news
dataset
document-classification
text-classification
2004
classification
newsdatasetdocument-classificationtext-classification2004classification
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1A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)
D. Hassell, J. Gregory, J. Blower, B. Lawrence, and K. Taylor. Geoscientific Model Development, 10 (12): 4619--4646 (Dec 19, 2017)
6 years ago by @pbett
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colleagues
dataset
computing
model
colleaguesdatasetcomputingmodel
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1The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation
R. Adler, M. Sapiano, G. Huffman, J. Wang, G. Gu, D. Bolvin, L. Chiu, U. Schneider, A. Becker, E. Nelkin and 3 other author(s). Atmosphere, 9 (4): 138+ (Apr 7, 2018)
6 years ago by @pbett
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precip
dataset
precipdataset
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3The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979 Present)
R. Adler, G. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin and 4 other author(s). Journal of Hydrometeorology, 4 (6): 1147--1167 (Dec 1, 2003)
6 years ago by @pbett
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precip
dataset
precipdataset
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1ERA-20C: An atmospheric reanalysis of the 20th century
P. Poli, H. Hersbach, D. Dee, P. Berrisford, A. Simmons, F. Vitart, P. Laloyaux, D. Tan, C. Peubey, J. Thépaut and 5 other author(s). J. Climate, (2016)
6 years ago by @pbett
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era
dataset
20CR
eradataset20CR
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1An overview of the Global Historical Climatology Network monthly mean temperature data set, version 3
J. Lawrimore, M. Menne, B. Gleason, C. Williams, D. Wuertz, R. Vose, and J. Rennie. J. Geophys. Res., 116 (D19): D19121+ (Oct 16, 2011)
6 years ago by @pbett
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dataset
temperature
datasettemperature
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1The NCEP Climate Forecast System Reanalysis
S. Saha, S. Moorthi, H. Pan, X. Wu, J. Wang, S. Nadiga, P. Tripp, R. Kistler, J. Woollen, D. Behringer and 42 other author(s). Bull. Amer. Meteor. Soc., 91 (8): 1015--1057 (Apr 23, 2010)
6 years ago by @pbett
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dataset
reanalysis
datasetreanalysis
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1A communal catalogue reveals Earth's multiscale microbial diversity
L. Thompson, J. Sanders, D. McDonald, A. Amir, J. Ladau, K. Locey, R. Prill, A. Tripathi, S. Gibbons, G. Ackermann and 293 other author(s). Nature, (Nov 1, 2017)
6 years ago by @karthikraman
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dataset
microbiome
datasetmicrobiome
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1Deep Learning for Classical Japanese Literature
T. Clanuwat, M. Bober-Irizar, A. Kitamoto, A. Lamb, K. Yamamoto, and D. Ha. (2018)cite arxiv:1812.01718Comment: To appear at Neural Information Processing Systems 2018 Workshop on Machine Learning for Creativity and Design.
4 years ago by @annakrause
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Characters
Kuzushiji
Dataset
DeepLearning
todo:read
CharactersKuzushijiDatasetDeepLearningtodo:read
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2GLUCOSE: GeneraLized and COntextualized Story Explanations
N. Mostafazadeh, A. Kalyanpur, L. Moon, D. Buchanan, L. Berkowitz, O. Biran, and J. Chu-Carroll. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 4569--4586. Online, Association for Computational Linguistics, (November 2020)
4 years ago by @rikbose
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dataset
dataset
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2ELI5: Long Form Question Answering
A. Fan, Y. Jernite, E. Perez, D. Grangier, J. Weston, and M. Auli. (2019)cite arxiv:1907.09190.
4 years ago by @festplatte
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qna
dataset
masterthesis
qnadatasetmasterthesis
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2Learning Concept Abstractness Using Weak Supervision
E. Rabinovich, B. Sznajder, A. Spector, I. Shnayderman, R. Aharonov, D. Konopnicki, and N. Slonim. (2018)cite arxiv:1809.01285Comment: 6 pages, EMNLP 2018.
4 years ago by @parismic
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weak
dataset
supervision
instituteclustering
bert_performance
weakdatasetsupervisioninstituteclusteringbert_performance
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1Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
J. Reizenstein, R. Shapovalov, P. Henzler, L. Sbordone, P. Labatut, and D. Novotny. (2021)cite arxiv:2109.00512.
3 years ago by @shuncheng.wu
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dataset
iccv21
3d_reconstruction
neural_reconstruction
object
dataseticcv213d_reconstructionneural_reconstructionobject
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1Unsupervised Learning of 3D Object Categories from Videos in the Wild
P. Henzler, J. Reizenstein, P. Labatut, R. Shapovalov, T. Ritschel, A. Vedaldi, and D. Novotny. (2021)cite arxiv:2103.16552.
3 years ago by @shuncheng.wu
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cvpr21
dataset
deeplearning
3d_reconstruction
neural_reconstruction
neural_rendering
object
cvpr21datasetdeeplearning3d_reconstructionneural_reconstructionneural_renderingobject
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3The FairyNet Corpus - Character Networks for German Fairy Tales
D. Schmidt, A. Zehe, J. Lorenzen, L. Sergel, S. Düker, M. Krug, and F. Puppe. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, page 49--56. Punta Cana, Dominican Republic (online), Association for Computational Linguistics, (November 2021)
3 years ago by @albinzehe
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nlp
myown
characters
dataset
kallimachos
author:zehe
networks
nlpmyowncharactersdatasetkallimachosauthor:zehenetworks
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3The FairyNet Corpus - Character Networks for German Fairy Tales
D. Schmidt, A. Zehe, J. Lorenzen, L. Sergel, S. Düker, M. Krug, and F. Puppe. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, page 49--56. Punta Cana, Dominican Republic (online), Association for Computational Linguistics, (November 2021)
3 years ago by @dmir
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nlp
myown
characters
dataset
kallimachos
from:albinzehe
author:zehe
networks
nlpmyowncharactersdatasetkallimachosfrom:albinzeheauthor:zehenetworks
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2Sensing the air we breathe—the OpenSense Zurich dataset
J. Li, B. Faltings, O. Saukh, D. Hasenfratz, and J. Beutel. Twenty-Sixth AAAI Conference on Artificial Intelligence, (2012)
2 years ago by @msteininger
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dataset
zurich
air
opensense
quality
pollution
datasetzurichairopensensequalitypollution
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3LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
M. Schedl, S. Brandl, O. Lesota, E. Parada-Cabaleiro, D. Penz, and N. Rekabsaz. ACM SIGIR Conference on Human Information Interaction and Retrieval, ACM, (March 2022)
8 months ago by @kamber
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listening
in
Collaborative
approaches
analysis
classification
Fairness
Content-based
Demographic
dataset
Music
Genre
information
User
records
data
Metadata
systems
Recommender
biases
Algorithmic
Last.fm
Style
recommender
Lyrics
listeninginCollaborativeapproachesanalysisclassificationFairnessContent-basedDemographicdatasetMusicGenreinformationUserrecordsdataMetadatasystemsRecommenderbiasesAlgorithmicLast.fmStylerecommenderLyrics
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3LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
M. Schedl, S. Brandl, O. Lesota, E. Parada-Cabaleiro, D. Penz, and N. Rekabsaz. ACM SIGIR Conference on Human Information Interaction and Retrieval, ACM, (March 2022)
7 months ago by @sop2-ffzg
show all tags
listening
in
Collaborative
approaches
analysis
classification
Fairness
Content-based
Demographic
dataset
Music
Genre
information
User
records
data
Metadata
from:kamber
systems
Recommender
biases
Algorithmic
Last.fm
Style
recommender
Lyrics
listeninginCollaborativeapproachesanalysisclassificationFairnessContent-basedDemographicdatasetMusicGenreinformationUserrecordsdataMetadatafrom:kambersystemsRecommenderbiasesAlgorithmicLast.fmStylerecommenderLyrics
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