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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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demo
gpt2
text
transformer
write
demogpt2texttransformerwrite
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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
text
tokenizer
unsupervised
sentencepiecetexttokenizerunsupervised
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1Mining Knowledge Graphs from Text | A Tutorial
A Tutorial
6 years ago by @nosebrain
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graphs
knowlegde
mining
text
graphsknowlegdeminingtext
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1HistWords: Word Embeddings for Historical Text
https://nlp.stanford.edu/projects/histwords/
8 years ago by @nosebrain
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embeddings
histWords
historical
text
word
embeddingshistWordshistoricaltextword
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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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attent
macro
my:apps
osx
text
utility
attentmacromy:appsosxtextutility
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3SentiStrength - sentiment strength detection in short texts - sentiment analysis, opinion mining
http://sentistrength.wlv.ac.uk/
10 years ago by @nosebrain
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SentiStrength
detection
sentiment
short
text
SentiStrengthdetectionsentimentshorttext
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6CodeMirror
http://codemirror.net/
11 years ago by @nosebrain
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1MinorThird | Free software downloads at SourceForge.net
MinorThird is an SDK/API for machine learning and information extraction, primarily on text data. A range of algorithms are included and is …
12 years ago by @nosebrain
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data
extraction
information
java
learning
machine
minorthird
text
dataextractioninformationjavalearningmachineminorthirdtext
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3Apache Tika - Apache Tika
http://tika.apache.org/
12 years ago by @nosebrain
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detection
extraction
java
lang
language
metadata
pdf
text
tika
detectionextractionjavalanglanguagemetadatapdftexttika
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1Java Text Categorizing Library
http://textcat.sourceforge.net/
12 years ago by @nosebrain
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categorizing
java
library
text
categorizingjavalibrarytext
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3Classifier4J - Classifier4J
http://classifier4j.sourceforge.net/
13 years ago by @nosebrain
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classification
classifier4j
java
text
classificationclassifier4jjavatext
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1textmate/textmate · GitHub
textmate - TextMate is a graphical text editor for OS X 10.7+
13 years ago by @nosebrain
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editor
open
osx
source
text
textmate
editoropenosxsourcetexttextmate
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11TextMate — The Missing Editor for Mac OS X
http://macromates.com/
13 years ago by @nosebrain
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editor
my:apps
osx
text
textmate
editormy:appsosxtexttextmate
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1Full text search with MongoDB | Harry Marr
http://hmarr.com/2010/mar/18/full-text-search-with-mongodb/
14 years ago by @nosebrain
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full
idf
mongodb
search
text
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2jQuery Tokeninput
http://loopj.com/jquery-tokeninput/
14 years ago by @nosebrain
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autocompletion
entry
jquery
text
tokeninput
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10Etherpad
http://etherpad.org/
15 years ago by @nosebrain
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chat
collaborative
editor
live
team
text
chatcollaborativeeditorliveteamtext
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publications (hide)33
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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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bert
image
text
vilbert
bertimagetextvilbert
(0)
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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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encoder
image
lxmert
representations
text
transformers
encoderimagelxmertrepresentationstexttransformers
(0)
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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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contrastive
encoder
image
learning
medical
text
contrastiveencoderimagelearningmedicaltext
(0)
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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
language
models
text
thema
thema:text_image
understanding
vqa
imagelanguagemodelstextthemathema:text_imageunderstandingvqa
(0)
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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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bert
image
text
vision
visualbert
bertimagetextvisionvisualbert
(0)
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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)
5 years ago by @nosebrain
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discriminator
electra
encoder
generator
language
model
text
discriminatorelectraencodergeneratorlanguagemodeltext
(1)
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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.
5 years ago by @nosebrain
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controlled
generation
language
model
play
plug
text
controlledgenerationlanguagemodelplayplugtext
(0)
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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)
5 years ago by @nosebrain
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SciBERT
langauge
model
sceitntific
text
SciBERTlangaugemodelsceitntifictext
(0)
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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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caption
image
knowledge
paper-dzhi
text
captionimageknowledgepaper-dzhitext
(0)
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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
matching
paper-dzhi
text
imagelocalisationmatchingpaper-dzhitext
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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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flickr
localisation
nlp
object
paper-dzhi
text
flickrlocalisationnlpobjectpaper-dzhitext
(0)
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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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embeddings
image
paper-dzhi
text
embeddingsimagepaper-dzhitext
(0)
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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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annotation
biobank
free
image
proposal:dzhi
quality
text
uk
annotationbiobankfreeimageproposal:dzhiqualitytextuk
(0)
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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)
6 years ago by @nosebrain
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graph
knowledge
system
text
unstructured
graphknowledgesystemtextunstructured
(0)
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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)
6 years ago by @nosebrain
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embedding
graph
knowledge
proposal:bmbf2019
reserved
seminar201920
text
thema
embeddinggraphknowledgeproposal:bmbf2019reservedseminar201920textthema
(0)
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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)
6 years ago by @nosebrain
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application:bmbf2019:final
embeddings
graph
knowledge
text
proposal:bmbf2019
application:bmbf2019:finalembeddingsgraphknowledgetextproposal:bmbf2019
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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)
6 years ago by @nosebrain
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bmbf:final
embeddings
graph
text
proposal:bmbf2019
bmbf:finalembeddingsgraphtextproposal:bmbf2019
(0)
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2Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs.
D. Kartsaklis, M. Pilehvar, and N. Collier. EMNLP, page 1959-1970. Association for Computational Linguistics, (2018)
6 years ago by @nosebrain
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deep
entity
graph
knowledge
learning
mapping
text
proposal:bmbf2019
deepentitygraphknowledgelearningmappingtextproposal:bmbf2019
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14Convolutional 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)
6 years ago by @nosebrain
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classification
cnn
text
classificationcnntext
(0)
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2Very Deep Convolutional Networks for Text Classification
H. Schwenk, L. Barrault, A. Conneau, and Y. LeCun. EACL (1), page 1107-1116. Association for Computational Linguistics, (2017)
7 years ago by @nosebrain
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classification
convolution
deep
network
text
classificationconvolutiondeepnetworktext
(0)
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5A C-LSTM Neural Network for Text Classification
C. Zhou, C. Sun, Z. Liu, and F. Lau. CoRR, (2015)
7 years ago by @nosebrain
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classification
clstm
cnn
rnn
text
classificationclstmcnnrnntext
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2Deep Learning for Extreme Multi-label Text Classification.
J. Liu, W. Chang, Y. Wu, and Y. Yang. SIGIR, page 115-124. ACM, (2017)
7 years ago by @nosebrain
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classification
deep
label
learning
multi
paper:neural_tag
text
classificationdeeplabellearningmultipaper:neural_tagtext
(0)
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6Ask the GRU: Multi-Task Learning for Deep Text Recommendations
T. Bansal, D. Belanger, and A. McCallum. Proceedings of the 10th ACM Conference on Recommender Systems, page 107--114. New York, NY, USA, ACM, (2016)
7 years ago by @nosebrain
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collaborative
filtering
multitask
network
neural
recommendation
tag
text
collaborativefilteringmultitasknetworkneuralrecommendationtagtext
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10Character-level Convolutional Networks for Text Classification
X. Zhang, J. Zhao, and Y. LeCun. NIPS, page 649-657. (2015)
7 years ago by @nosebrain
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classification
cnn
spam
text
classificationcnnspamtext
(0)
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3Joint Text Embedding for Personalized Content-based Recommendation
T. Chen, L. Hong, Y. Shi, and Y. Sun. CoRR, (2017)
7 years ago by @nosebrain
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embedding
item
personalized
recommendation
tagnn
text
embeddingitempersonalizedrecommendationtagnntext
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3Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
R. Johnson, and T. Zhang. NIPS, page 919-927. (2015)
7 years ago by @nosebrain
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categorization
cnn
embedding
text
categorizationcnnembeddingtext
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7Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
B. Hidasi, M. Quadrana, A. Karatzoglou, and D. Tikk. Proceedings of the 10th ACM Conference on Recommender Systems, page 241--248. New York, NY, USA, ACM, (2016)
8 years ago by @nosebrain
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cnn
data
dmir:retreat:2017
image
item
parallel
recommendation
rnn
session
text
cnndatadmir:retreat:2017imageitemparallelrecommendationrnnsessiontext
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5Bag of Tricks for Efficient Text Classification
A. Joulin, E. Grave, P. Bojanowski, and T. Mikolov. (2016)cite arxiv:1607.01759.
8 years ago by @nosebrain
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classification
fasttext
recommendation
tag
tagnn
text
classificationfasttextrecommendationtagtagnntext
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3#TagSpace: Semantic Embeddings from Hashtags.
J. Weston, S. Chopra, and K. Adams. EMNLP, page 1822-1827. ACL, (2014)
8 years ago by @nosebrain
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cnn
embedding
hashtag
mining
semantic
tagspace
text
cnnembeddinghashtagminingsemantictagspacetext
(0)
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2Reading Text in the Wild with Convolutional Neural Networks
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman. International Journal of Computer Vision, 116 (1): 1--20 (2016)
8 years ago by @nosebrain
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cnn
reading
text
to:read
cnnreadingtextto:read
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3Affective News: The Automated Coding of Sentiment in Political Texts
L. Young, and S. Soroka. Political Communication, 29 (2): 205-231 (2012)
10 years ago by @nosebrain
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coding
news
politics
sentiment
text
codingnewspoliticssentimenttext
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2Sentiment strength detection in short informal text
M. Thelwall, K. Buckley, G. Paltoglou, D. Cai, and A. Kappas. Journal of the American Society for Information Science and Technology, 61 (12): 2544--2558 (2010)
10 years ago by @nosebrain
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detection
ht2015
informal
sentiment
sentistrength
short
strength
text
detectionht2015informalsentimentsentistrengthshortstrengthtext
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16N-Gram-Based Text Categorization
W. Cavnar, and J. Trenkle. Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval, page 161--175. Las Vegas, US, (1994)
12 years ago by @nosebrain
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classification
language
n-gram
subject
text
classificationlanguagen-gramsubjecttext
(1)
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