tag :: kallimachos | BibSonomy

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1The NarrativeQA Reading Comprehension Challenge – Arxiv Vanity
https://www.arxiv-vanity.com/papers/1712.07040v1/
7 months ago by @hotho
kallimachosnarrativereadingtoread
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1Spooky Author Identification | Kaggle
https://www.kaggle.com/c/spooky-author-identification/rules
8 months ago by @becker
cligsnachwuchsgruppeauthoridentificationkallimachoskagglechallengespooky
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1thunlp/TensorFlow-Summarization
https://github.com/thunlp/TensorFlow-Summarization
8 months ago by @albinzehe
kallimachosrnnseq2seqsummarisation
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1CRETA | Centrum für reflektierte Textanalyse
https://www.creta.uni-stuttgart.de/
11 months ago by @becker
analyticsannotationkallikallimachosliteraturescicartext
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1Towards a Computational Literary Science by vuw-sim-stia
https://vuw-sim-stia.github.io/computational-literary-science/
a year ago by @albinzehe
kallimachos
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3Unsupervised sentiment neuron
https://blog.openai.com/unsupervised-sentiment-neuron/
a year ago by @albinzehe
kallimachosneuralnetrnnsentimentanalysisunsupervised
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1TonyBagnall / Time Series Classification / source / — Bitbucket
Implementations for many different Time Series Classification Algorithms
a year ago by @albinzehe
kallimachostimeseries
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1LSTM_tsc by RobRomijnders
http://robromijnders.github.io/LSTM_tsc/
a year ago by @albinzehe
kallimachosneuralnetrnntensorflowtimeseries
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1GitHub - RobRomijnders/CNN_tsc: A CNN for time-series classification
https://github.com/RobRomijnders/CNN_tsc
a year ago by @albinzehe
cnnkallimachosneuralnettensorflowtimeseries
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1GitHub - UKPLab/emnlp2016-empirical-convincingness: Code and data for EMNLP2016 article "What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation" by Ivan Habernal and Iryna Gurevych
https://github.com/UKPLab/emnlp2016-empirical-convincingness
2 years ago by @hotho
argumentdatasetkallimachostools
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2Neue Tools sollen Qualität von Online-Texten analysieren | iX
https://www.heise.de/ix/meldung/Neue-Tools-sollen-Qualitaet-von-Online-Texten-analysieren-3582332.html#mobile_detect_force_desktop
2 years ago by @hotho
argumentcrowddatasetsdiifakekallimachosminingnewsworker
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1Literaturforscher wollen mit Text-Mining den "Bestseller-Code" geknackt haben | heise online
https://www.heise.de/newsticker/meldung/Literaturforscher-wollen-mit-Text-Mining-den-Bestseller-Code-geknackt-haben-3568807.html
2 years ago by @albinzehe
kallimachos
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1GitHub - taylordr/Temporal_Eigenvector_Centrality: eigenvector centrality for temporal networks
https://github.com/taylordr/Temporal_Eigenvector_Centrality
2 years ago by @albinzehe
kallimachosnetworkstemporaltimelines
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1David Bamman
* A Bayesian Mixed Effects Model of Literary Character
2 years ago by @becker
bayesbayesiangenerativekallimachoslatentmodel
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2GitHub - patrickzib/SFA: Scalable Time Series Data Analytics
https://github.com/patrickzib/SFA
2 years ago by @hotho
analysiskallimachosseriessoftwaretime
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1ClusType by shanzhenren
http://shanzhenren.github.io/ClusType/
2 years ago by @hotho
NERentitykallimachostype
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1[1512.01818] SentiBench - A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods
https://arxiv.org/abs/1512.01818
2 years ago by @albinzehe
kallimachossentimentanalysis
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2Publications by Gerhard Widmer
http://www.cp.jku.at/people/widmer/pub.html
2 years ago by @albinzehe
happyendecmlkallimachosmusic
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1A Novel Method for Detecting Plot, Matthew L. Jockers
http://www.matthewjockers.net/2014/06/05/a-novel-method-for-detecting-plot/
2 years ago by @albinzehe
happyendecmlkallimachossentimentanalysis
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1Sentiment Analysis on fairy tales
https://github.com/bogdanneacsa/tts-master
2 years ago by @albinzehe
kallimachosma-zehesentimentanalysis
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9Convolutional Neural Networks for Sentence Classification
Y. Kim. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, page 1746--1751. (2014)
3 months ago by @thoni
cnngpukallimachosma-zeheneuralnetsentimentanalysis
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2Overcoming Data Sparsity for Relation Detection in German Novels
M. Krug, I. Reger, F. Jannidis, L. Weimer, N. Madarász, and F. Puppe. (2017)
4 months ago by @albinzehe
dh2017kallimachosrelations
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3Hierarchical Multiscale Recurrent Neural Networks
J. Chung, S. Ahn, and Y. Bengio. (2016)cite arxiv:1609.01704.
5 months ago by @albinzehe
kallimachoslongrangeneuralnetrnnstructure
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2Analysing Direct Speech in German Novels
F. Jannidis, L. Konle, A. Zehe, A. Hotho, and M. Krug. DHd 2018, (2018)
5 months ago by @dmir
directspeechkallimachosmyownfrom:albinzehe
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2Analysing Direct Speech in German Novels
F. Jannidis, L. Konle, A. Zehe, A. Hotho, and M. Krug. DHd 2018, (2018)
5 months ago by @albinzehe
directspeechkallimachosmyown
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3Nationality Classification Using Name Embeddings
J. Ye, S. Han, Y. Hu, B. Coskun, M. Liu, H. Qin, and S. Skiena. (2017)cite arxiv:1708.07903Comment: 10 pages, 9 figures, 4 table, accepted by CIKM 2017, Demo and free API: www.name-prism.com.
7 months ago by @albinzehe
cligskallimachosnationality
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2Name Nationality Classification with Recurrent Neural Networks.
J. Lee, H. Kim, M. Ko, D. Choi, J. Choi, and J. Kang. IJCAI, page 2081-2087. ijcai.org, (2017)
7 months ago by @albinzehe
cligskallimachosnamesnationalityrnn
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2Name-Ethnicity Classification and Ethnicity-Sensitive Name Matching.
P. Treeratpituk, and C. Giles. AAAI, AAAI Press, (2012)
7 months ago by @albinzehe
cligsdetectionkallimachosnationality
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32Text categorization with support vector machines: Learning with many relevant features
T. Joachims. Machine learning: ECML-98 (1998)
8 months ago by @albinzehe
kallimachossvmtfidf
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3Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents.
P. Liu, X. Qiu, X. Chen, S. Wu, and X. Huang. EMNLP, page 2326--2335. (2015)
8 months ago by @albinzehe
kallimachoslongrangeneuralnetsrnn
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2Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
M. Kim, M. Singh, and M. Lee. (2016)cite arxiv:1607.00718Comment: To appear in RepL4NLP at ACL 2016.
8 months ago by @albinzehe
kallimachosrnnseq2seqsummarisation
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1Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
R. Nallapati, B. Zhou, C. santos, C. Gulcehre, and B. Xiang. (2016)cite arxiv:1602.06023.
8 months ago by @albinzehe
kallimachosrnnsummarisation
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2Integrating Extractive and Abstractive Models for Long Text Summarization
S. Wang, X. Zhao, B. Li, B. Ge, and D. Tang. 2017 IEEE International Congress on Big Data (BigData Congress), page 305-312. (June 2017)
8 months ago by @albinzehe
kallimachosrnnsummarisation
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7Analyzing Features for the Detection of Happy Endings in German Novels
F. Jannidis, I. Reger, A. Zehe, M. Becker, L. Hettinger, and A. Hotho. (2016)cite arxiv:1611.09028.
10 months ago by @schwemmlein
endingsgermanhappykallimachosliteraturemyownnovels
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7Towards Sentiment Analysis on German Literature
A. Zehe, M. Becker, F. Jannidis, and A. Hotho. (2017)
10 months ago by @schwemmlein
analysisgermankallimachosliteraturenovelssentiment
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2Model Architectures for Quotation Detection
C. Scheible, R. Klinger, and S. Padó. Proceedings of ACL, page 1736--1745. Berlin, Germany, (2016)Acceptance rate: 25\%.
11 months ago by @albinzehe
directspeechkallimachosmarkovnlpspeech
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7Towards Sentiment Analysis on German Literature
A. Zehe, M. Becker, F. Jannidis, and A. Hotho. (2017)
11 months ago by @dmir
cnnkallimachosma-zehemyownneuralnetsentimentanalysisfrom:albinzehe
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7Towards Sentiment Analysis on German Literature
A. Zehe, M. Becker, F. Jannidis, and A. Hotho. (2017)
11 months ago by @albinzehe
cnnkallimachosma-zehemyownneuralnetsentimentanalysis
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2Living a discrete life in a continuous world: Reference with distributed representations
G. Boleda, S. Padó, N. Pham, and M. Baroni. (2017)cite arxiv:1702.01815Comment: Under review at ACL 2017. 6 pages, 1 figure.
11 months ago by @albinzehe
coreferencekallimachos
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1Relation Classification via Convolutional Deep Neural Network.
D. Zeng, K. Liu, S. Lai, G. Zhou, J. Zhao, and others. COLING, page 2335--2344. (2014)
a year ago by @albinzehe
cnnkallimachosneuralnetrelationrelations
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