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1CLIP: Connecting text and images
https://openai.com/research/clip
a year ago by @becker
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image
clip
connection
text
imageclipconnectiontext
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1Was Gendern bringt – und was nicht - quarks.de
https://www.quarks.de/gesellschaft/psychologie/was-gendern-bringt-und-was-nicht/
2 years ago by @becker
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gender
text
speach
gendertextspeach
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1Reformer: Text Generation - Colaboratory
https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/text_generation.ipynb
3 years ago by @schwemmlein
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lm
nlp
code
language
reformer
text
google
generation
repository
lmnlpcodelanguagereformertextgooglegenerationrepository
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1scispacy | SpaCy models for biomedical text processing
https://allenai.github.io/scispacy/
3 years ago by @becker
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nlp
medical
natural
language
bio
spacey
biological
processing
sci
medicine
text
biomedical
nlpmedicalnaturallanguagebiospaceybiologicalprocessingscimedicinetextbiomedical
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1References for literary genre + emotional plot development
https://scholar.google.de/scholar?hl=en&as_sdt=2005&sciodt=0,5&cites=16340352417931444070&scipsc=&q=&scisbd=1
3 years ago by @schwemmlein
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literature
nlp
emotion
plot
genre
text
classification
literaturenlpemotionplotgenretextclassification
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2The Illustrated BERT, ELMo, and co.
Visualizing machine learning one concept at a time.
3 years ago by @schwemmlein
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nlp
transfer
2018
embeddings
elmo
learning
bert
text
word
nlptransfer2018embeddingselmolearningberttextword
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1Write With Transformer
See how a modern neural network auto-completes your text
5 years ago by @nosebrain
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gpt2
transformer
text
demo
write
gpt2transformertextdemowrite
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1google/sentencepiece: Unsupervised text tokenizer for Neural Network-based text generation.
Unsupervised text tokenizer for Neural Network-based text generation. - google/sentencepiece
5 years ago by @nosebrain
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sentencepiece
unsupervised
text
tokenizer
sentencepieceunsupervisedtexttokenizer
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1Mining Knowledge Graphs from Text | A Tutorial
A Tutorial
5 years ago by @nosebrain
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knowlegde
graphs
mining
text
knowlegdegraphsminingtext
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1python - change certain squares in a seaborn heatmap - Stack Overflow
https://stackoverflow.com/questions/31707033/change-certain-squares-in-a-seaborn-heatmap
6 years ago by @becker
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heatmap
python
weight
format
bold
size
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sns
text
style
seaborn
dendrogram
heatmappythonweightformatboldsizeclusteringhierarchicalsnstextstyleseaborndendrogram
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1PAN
PAN is a series of scientific events and shared tasks on digital text forensics and stylometry
6 years ago by @schwemmlein
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task
dataset
text
stylometry
classification
taskdatasettextstylometryclassification
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1Text Analysis Conference (TAC) KBP 2017 Tracks
https://tac.nist.gov/2017/KBP/
6 years ago by @hotho
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2018
relation
text
analysis
track
2018relationtextanalysistrack
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1Text Classification with NLTK and Scikit-Learn
In this post, I want to show how I use NLTK for preprocessing and tokenization, but then apply machine learning techniques (e.g. building a linear SVM using stochastic gradient descent) using Scikit-Learn.
7 years ago by @schwemmlein
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scikit-learn
python
machine
nltk
svm
learning
text
blogpost
classification
scikit-learnpythonmachinenltksvmlearningtextblogpostclassification
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1SeanNaren/deepspeech.pytorch: Speech Recognition using DeepSpeech2 and the CTC activation function. Edit
deepspeech.pytorch - Speech Recognition using DeepSpeech2 and the CTC activation function. Edit
7 years ago by @hotho
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deep
speech
recognition
learning
text
ml
deepspeechrecognitionlearningtextml
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2Multiclass classification and pre-trained word embedding (word2vec & GloVe) support and it's comparison · Issue #69 · dennybritz/cnn-text-classification-tf
cnn-text-classification-tf - Convolutional Neural Network for Text Classification in Tensorflow
7 years ago by @hotho
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text
can
tc
classification
textcantcclassification
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1CRETA | Centrum für reflektierte Textanalyse
https://www.creta.uni-stuttgart.de/
7 years ago by @becker
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literature
annotation
analytics
kalli
kallimachos
text
scicar
literatureannotationanalyticskallikallimachostextscicar
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1HistWords: Word Embeddings for Historical Text
https://nlp.stanford.edu/projects/histwords/
7 years ago by @nosebrain
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histWords
embeddings
historical
text
word
histWordsembeddingshistoricaltextword
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1SpiegelMining: Think big. Die Artikellandschaft der letzten zwei Jahre zum selberforschen [D. Kriesel]
http://www.dkriesel.com/blog/2016/1028_spiegelmining_think_big._die_artikellandschaft_der_letzten_zwei_jahre_zum_selberforschen#the__comments
8 years ago by @hotho
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spiegelmining
mining
spiegel
text
artikellandschaft
analysis
media
spiegelminingminingspiegeltextartikellandschaftanalysismedia
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1aText - Typing accelerator - Text macro utility for Mac.
http://www.trankynam.com/atext/
9 years ago by @nosebrain
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osx
macro
attent
text
utility
my:apps
osxmacroattenttextutilitymy:apps
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8The Unreasonable Effectiveness of Recurrent Neural Networks
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
9 years ago by @becker
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rnn
code
music
deep
examples
neural
learning
text
networks
latex
blog
rnncodemusicdeepexamplesneurallearningtextnetworkslatexblog
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publications (hide)145
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1Integrated intra-and intercellular signaling knowledge for multicellular omics analysis
D. Türei, A. Valdeolivas, L. Gul, N. Palacio-Escat, M. Klein, O. Ivanova, M. Ölbei, A. Gábor, F. Theis, D. Módos and 1 other author(s). Molecular systems biology, 17 (3): e9923 (2021)
3 years ago by @becker
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immune
project:iti-single-cell
citedby:scholar:count:35
network
networks
cell
citedby:scholar:timestamp:2022-2-23
cells
system
database
pubmed
mining
background
text
cytokines
knowledge
immuneproject:iti-single-cellcitedby:scholar:count:35networknetworkscellcitedby:scholar:timestamp:2022-2-23cellssystemdatabasepubmedminingbackgroundtextcytokinesknowledge
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1Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed
K. Kveler, E. Starosvetsky, A. Ziv-Kenet, Y. Kalugny, Y. Gorelik, G. Shalev-Malul, N. Aizenbud-Reshef, T. Dubovik, M. Briller, J. Campbell and 1 other author(s). Nature biotechnology, 36 (7): 651--659 (2018)
3 years ago by @becker
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citedby:scholar:count:51
immune
project:iti-single-cell
network
networks
cell
citedby:scholar:timestamp:2022-2-23
cells
system
database
pubmed
mining
background
text
cytokines
knowledge
citedby:scholar:count:51immuneproject:iti-single-cellnetworknetworkscellcitedby:scholar:timestamp:2022-2-23cellssystemdatabasepubmedminingbackgroundtextcytokinesknowledge
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3ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
J. Lu, D. Batra, D. Parikh, and S. Lee. NeurIPS, page 13-23. (2019)
4 years ago by @nosebrain
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image
vilbert
bert
text
imagevilbertberttext
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2LXMERT: Learning Cross-Modality Encoder Representations from Transformers.
H. Tan, and M. Bansal. EMNLP/IJCNLP (1), page 5099-5110. Association for Computational Linguistics, (2019)
4 years ago by @nosebrain
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image
transformers
text
encoder
lxmert
representations
imagetransformerstextencoderlxmertrepresentations
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1Contrastive Learning of Medical Visual Representations from Paired Images and Text
Y. Zhang, H. Jiang, Y. Miura, C. Manning, and C. Langlotz. (2020)cite arxiv:2010.00747.
4 years ago by @nosebrain
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image
medical
contrastive
learning
text
encoder
imagemedicalcontrastivelearningtextencoder
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3Towards VQA Models That Can Read
A. Singh, V. Natarajan, M. Shah, Y. Jiang, X. Chen, D. Batra, D. Parikh, and M. Rohrbach. CVPR, page 8317-8326. Computer Vision Foundation / IEEE, (2019)
4 years ago by @nosebrain
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image
models
vqa
language
thema
thema:text_image
text
understanding
imagemodelsvqalanguagethemathema:text_imagetextunderstanding
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4VisualBERT: A Simple and Performant Baseline for Vision and Language
L. Li, M. Yatskar, D. Yin, C. Hsieh, and K. Chang. (2019)cite arxiv:1908.03557Comment: Work in Progress.
4 years ago by @nosebrain
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image
visualbert
bert
text
vision
imagevisualbertberttextvision
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7ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
K. Clark, M. Luong, Q. Le, and C. Manning. International Conference on Learning Representations, (2020)
4 years ago by @nosebrain
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electra
language
generator
discriminator
text
encoder
model
electralanguagegeneratordiscriminatortextencodermodel
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2Plug and Play Language Models: A Simple Approach to Controlled Text Generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, and R. Liu. (2019)cite arxiv:1912.02164Comment: ICLR 2020 camera ready.
4 years ago by @nosebrain
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controlled
language
play
plug
text
model
generation
controlledlanguageplayplugtextmodelgeneration
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3SciBERT: A Pretrained Language Model for Scientific Text
I. Beltagy, K. Lo, and A. Cohan. EMNLP/IJCNLP (1), page 3613-3618. Association for Computational Linguistics, (2019)
4 years ago by @nosebrain
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SciBERT
sceitntific
langauge
text
model
SciBERTsceitntificlangaugetextmodel
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1Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Q. Wu, C. Shen, P. Wang, A. Dick, and A. v. d. Hengel. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (6): 1367-1381 (June 2018)
5 years ago by @nosebrain
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image
caption
text
knowledge
paper-dzhi
imagecaptiontextknowledgepaper-dzhi
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1Learning Two-Branch Neural Networks for Image-Text Matching Tasks
L. Wang, Y. Li, J. Huang, and S. Lazebnik. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41 (2): 394-407 (February 2019)
5 years ago by @nosebrain
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image
localisation
text
paper-dzhi
matching
imagelocalisationtextpaper-dzhimatching
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3Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
B. Plummer, L. Wang, C. Cervantes, J. Caicedo, J. Hockenmaier, and S. Lazebnik. 2015 IEEE International Conference on Computer Vision (ICCV), page 2641-2649. (December 2015)
5 years ago by @nosebrain
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nlp
flickr
localisation
text
paper-dzhi
object
nlpflickrlocalisationtextpaper-dzhiobject
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2Learning Deep Structure-Preserving Image-Text Embeddings
L. Wang, Y. Li, and S. Lazebnik. CVPR, page 5005-5013. IEEE Computer Society, (2016)
5 years ago by @nosebrain
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image
embeddings
text
paper-dzhi
imageembeddingstextpaper-dzhi
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1Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans
V. Carapella, E. Jiménez-Ruiz, E. Lukaschuk, N. Aung, K. Fung, J. Paiva, M. Sanghvi, S. Neubauer, S. Petersen, I. Horrocks and 1 other author(s). Deep Learning and Data Labeling for Medical Applications, page 238--248. Cham, Springer International Publishing, (2016)
5 years ago by @nosebrain
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image
annotation
uk
text
biobank
proposal:dzhi
free
quality
imageannotationuktextbiobankproposal:dzhifreequality
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3Explaining Data-driven Document Classifications
D. Martens, and F. Provost. MIS Q., 38 (1): 73--100 (March 2014)
5 years ago by @schwemmlein
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mining
comprehensibility
document
text
explanation
XAI
classification
miningcomprehensibilitydocumenttextexplanationXAIclassification
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2T2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text
N. Kertkeidkachorn, and R. Ichise. AAAI Workshops, volume WS-17 of AAAI Workshops, AAAI Press, (2017)
5 years ago by @nosebrain
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system
unstructured
text
knowledge
graph
systemunstructuredtextknowledgegraph
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2Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text
X. Han, Z. Liu, and M. Sun. AAAI, page 4832-4839. AAAI Press, (2018)
5 years ago by @nosebrain
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proposal:bmbf2019
thema
reserved
embedding
text
seminar201920
knowledge
graph
proposal:bmbf2019themareservedembeddingtextseminar201920knowledgegraph
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3Knowledge Graph and Text Jointly Embedding
Z. Wang, J. Zhang, J. Feng, and Z. Chen. EMNLP, page 1591-1601. ACL, (2014)
5 years ago by @nosebrain
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proposal:bmbf2019
application:bmbf2019:final
embeddings
text
knowledge
graph
proposal:bmbf2019application:bmbf2019:finalembeddingstextknowledgegraph
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2Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines
G. Mai, K. Janowicz, and B. Yan. Semdeep/NLIWoD@ISWC, volume 2241 of CEUR Workshop Proceedings, page 77-88. CEUR-WS.org, (2018)
5 years ago by @nosebrain
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proposal:bmbf2019
embeddings
text
bmbf:final
graph
proposal:bmbf2019embeddingstextbmbf:finalgraph
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