Top Tweets for #SwissText2019
Demo Track Insights from #SwissText2019 – A small NLP SEO approach: https://t.co/zkGGH6oga0 Compare the actual used search terms from user behavior to the word frequencies of a website – to identify keyword or topic gaps in your website texts. #TextAnalytics #NLP #SEO
For everyone interested in German text summarization systems, have a look at the proceedings of Swisstext 2019 (https://t.co/40v4WzmQKm) to see our (@SbstnBlank, @data_hpz) contributed system description. We used a deep neural net with multilingual BERT embeddings. #SwissText2019
At the Swiss Text Conference 2019 our #MachineLearning Engineer Arthur Habicht showed the power of AI in a live demo. With our trained #NLP models we are able to analyze documents and to find and evaluate the relevant content. #SwissText2019 #ML
come and visit our demo session of the @ImpressoProject web interface at #SwissText2019 @ZHAW @ZHAWLinguistik #history #NLProc #NLP #digitalhistory #phdlife
Today Aaron Richiger presented MINT.extract at SwissText and illustrated how information extraction can be the basis for further analysis such as NLP tasks or general Data Analytics.
Thank you for having us @SwissTextConf
#SwissText2019 #MachineLearning #DigitalTransformation
Happy to present our German Text Summarization Challenge work at #SwissText2019
Our second keynote speaker, Heinrich Schütze, taking about different representational units and which one of them is best for deep learning #SwissText2019 #TextAnalytics #NLP #DeepLearning #ZHAW #Winterthur #Switzerland
Great talk by Heinrich Schütze on « Which representational unit is best for deep learning ? » #SwissText2019
We are back for the second day of the conference. Today we will have some other keynote speakers, different tracks and many interesting demo presentations. Enjoy the day! #SwissText2019 #TextAnalytics #NLP #ZHAW #Winterthur #Switzerland
https://t.co/zDMUl1tUpa mentioned @ #SwissText2019
We are happy to take part at the #SwissText2019 at @ZHAW in #Winterthur. We held a talk about "Chatbot Usability - Dos and Don'ts". Many thanks to the audience and to all the other speakers for the interesting inputs! #NLP #AI #DataScience
Great to see the active research in German text summarization at @SwissTextConf. Tomorrow I‘m presenting our (@SbstnBlank @data_hpz) solution with multilingual BERT embeddings for the shared task. @inovexgmbh #SwissText2019
After the 3 parallel sessions and a lunch break, we are back with the second part of today’s program: Poster Sessions. Each author will briefly present their own work. #SwissText2019 #TextAnalytics #NLP #ZHAW #Winterthur #Switzerland
Tomorrow in the demo track: Compare the actual used search terms from user behavior to the word frequencies in the text content of the website – to identify keyword or topic gaps of website texts. #SwissText2019 #TextAnalytics #NLP #ZHAW #Winterthur #Switzerland
#SwissText2019: Swiss Dialect Text-to-Speech cannot really profit from advances in #DeepLearning because of lack of training data, so needs *a lot* of incorporated linguistic rules, preprocessing, etc. – but still works remarkably well. Demo: https://t.co/a5MkUIniHw #AI
Automatic headline generation (for German texts) likely to fail at @Tamedia in the short term, says Didier Orel at #SwissText2019. "However, failing is not bad".
The first keynote speaker at SwissText Conference, @lisagibbs954 from @AP, talking about the importance of AI in press and news, and where their focus their work. #SwissText2019 #TextAnalytics #NLP #ZHAW #Winterthur #Switzerland
Welcome message from @mCieliebak at the opening of the Conference #SwissText2019 #TextAnalytics #NLP #ZHAW #Switzerland
SwissText Conference 2019 has already started! We hope that you all enjoy these days with us and learn from each other. #SwissText2019 #NLP #TextAnalytics #TextAnalysis #ZHAW #Winterthur
Looking forward the 4th edition of the Swiss Text Analytics. Let have a deep dive in NLP and related area:
https://t.co/PCqFiCmwwE #SwissText2019
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