Interested in understanding neural networks for #NLProc ? Looking for reading material for your winter break? Check out our new paper, "Analysis Methods in Neural Language Processing: A Survey", to appear in TACL.
Preprint: https://arxiv.org/abs/1812.08951
Website: https://boknilev.github.io/nlp-analysis-methods
#machinelearning
β΄οΈ @AI_Python_EN
π£ @AI_Python_arXiv
βοΈ @AI_Python
Preprint: https://arxiv.org/abs/1812.08951
Website: https://boknilev.github.io/nlp-analysis-methods
#machinelearning
β΄οΈ @AI_Python_EN
π£ @AI_Python_arXiv
βοΈ @AI_Python
I have an opening for a 4y PhD position in my ERC Consolidator project DREAM (βdistributed dynamic representations for dialogue managementβ) at #ILLC in Amsterdam. Deadline 25 Feb 2019. More details: http://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/10538/
Please spread the word! #NLProc AmsterdamNLP
βοΈ @AI_Python
π£ @AI_Python_arXiv
β΄οΈ @AI_Python_EN
Please spread the word! #NLProc AmsterdamNLP
βοΈ @AI_Python
π£ @AI_Python_arXiv
β΄οΈ @AI_Python_EN
We've opened another position at AYLIEN: complete a PhD or MSc while working on our Research team! Get in touch fast with a CV and a cover letter outlining a research proposal (open to worldwide students willing to relocate to Dublin) #NLProc #deeplearning
π Link Review
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv.
π Link Review
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv.
Google Doubles Down On Spammers With #TensorFlow. #BigData #Analytics #MachineLearning #DataScience #AI #NLProc #IoT #IIoT #PyTorch #Python #RStats #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #TransferLearning
π http://bit.ly/2U4ZSAf
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv
π http://bit.ly/2U4ZSAf
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv
Comprehensive Collection of #DataScience and #MachineLearning Resources for #DataScientists includes βGreat Articles on Natural Language Processingβ +much more πhttps://bit.ly/2nvMXIx #abdsc #BigData #AI #DeepLearning #Databases #Coding #Python #Rstats #NeuralNetworks #NLProc
β΄οΈ @AI_Python_EN
β΄οΈ @AI_Python_EN
How This Researcher Is Using #DeepLearning To Shut Down Trolls And Fake Reviews. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #GoLang #Serverless #DataScientist #Linux
π https://bit.ly/2U2J5BX
β΄οΈ @AI_Python_EN
π https://bit.ly/2U2J5BX
β΄οΈ @AI_Python_EN
CS224N Natural Language Processing with Deep Learning 2019
YouTube playlist:
https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z
http://onlinehub.stanford.edu/cs224 #NLProc
β΄οΈ @AI_Python_EN
YouTube playlist:
https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z
http://onlinehub.stanford.edu/cs224 #NLProc
β΄οΈ @AI_Python_EN
A collection of research papers on decision trees, classification trees, and regression trees with implementations:
https://github.com/benedekrozemberczki/awesome-decision-tree-papers
#BigData #MachineLearning #AI #DataScience #Algorithms #NLProc #Coding #DataScientists
β΄οΈ @AI_Python_EN
https://github.com/benedekrozemberczki/awesome-decision-tree-papers
#BigData #MachineLearning #AI #DataScience #Algorithms #NLProc #Coding #DataScientists
β΄οΈ @AI_Python_EN
"Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor"
Do word embeddings really say that man is to doctor as woman is to nurse? Apparently not!
Nissim et al.: https://arxiv.org/abs/1905.09866
#ArtificialIntelligence #MachineLearning #NLProc #bias
β΄οΈ @AI_Python_EN
Do word embeddings really say that man is to doctor as woman is to nurse? Apparently not!
Nissim et al.: https://arxiv.org/abs/1905.09866
#ArtificialIntelligence #MachineLearning #NLProc #bias
β΄οΈ @AI_Python_EN
We have just released Multi-SimLex v1: a new multilingual #NLProc resource for semantic similarity. It covers 1,888 concept pairs across 12 typologically diverse langs, plus 66 xling data sets. .
https://multisimlex.com
Multi-SimLex provides a new, typologically diverse evaluation benchmark for representation learning models. See our paper for experiments and interesting analysis:
https://arxiv.org/pdf/2003.04866.pdf
But this is not all! We are also launching a collaborative initiative to extend Multi-SimLex to cover many more of the worldβs languages! Please join us in this effort to create an extensive semantic similarity resource for the needs of contemporary multilingual #NLProc.We welcome your contributions for both small and major languages! Follow the guidelines at https://multisimlex.com to create and submit a Multi-Simlex -style dataset for your favourite language. All the
contributions will be shared with everyone via the Multi-SimLex site.
https://multisimlex.com
Multi-SimLex provides a new, typologically diverse evaluation benchmark for representation learning models. See our paper for experiments and interesting analysis:
https://arxiv.org/pdf/2003.04866.pdf
But this is not all! We are also launching a collaborative initiative to extend Multi-SimLex to cover many more of the worldβs languages! Please join us in this effort to create an extensive semantic similarity resource for the needs of contemporary multilingual #NLProc.We welcome your contributions for both small and major languages! Follow the guidelines at https://multisimlex.com to create and submit a Multi-Simlex -style dataset for your favourite language. All the
contributions will be shared with everyone via the Multi-SimLex site.