We evaluated @spacy_io's entity recognition on 14 days of English #financial news. The non-neural models all struggle with the identification of organizations, but look how the transformer pipeline shines! π€― #nlproc#deeplearning
Labeling with https://t.co/JfAQjEedly
#NLProc data #annotation is a team effort. The latest version of our labeling tool #Tagalog allows project managers to organize labeling campaigns and track the progress of annotators and reviewers in real time. https://t.co/JfAQjEedly #ai#machinelearning#artificialintelligence
@TDehaene Thanks, @TDehaene! We support both use cases. Most clients use our central hosting, but some prefer a local deployment for their projects β because of privacy or other reasons.
Many #ai and #machinelearning projects fail because of low-quality labeled #data. For challenging #annotation tasks, it's crucial to have several annotators label the documents and review the conflicts. Our labeling tool #Tagalog is there to support you in those projects. #nlproc
Today we're taking @spacy_io v3 for a spin in a project on grammar correction. βοΈ Loving the config-based training and the integration with @wandb. π Also, these #transformers look pretty promising. π§ Are they a thing? π @honnibal@_inesmontani@OxyKodit#NLProc
π We're simply in awe at @spacy_io's v3.0 release. So many new features will have an immediate impact on our projects: transformer pipelines, the new workflow system, etc. Kudos to @honnibal, @_inesmontani and @OxyKodit!
https://t.co/9kbE0AocD1 #nlproc#deeplearning#ai
We thought that #deeplearning in #nlproc had reached peak hype with #BERT, but that was nothing compared to @OpenAI's #GPT3. Just about every client thinks their problem is solved now. #AI
Today we were experimenting with @GoogleTranslatr glossaries. We were expecting some nifty #deeplearning solution, but instead it just appears to replace words blindly, with agreement and other grammatical errors as a result. Can't @GoogleAI do better? #neuralempty#nlproc
Data #annotation and quality is critical in #ArtificialIntelligence and #NLProc. That's why we developed #Taggle, a state-of-the-art labeling platform for all your text annotation projects. Take a look at https://t.co/FI1bWRgeJU to find out more.
Hey @huggingface, it looks like the model card for our finetuned sentiment model is down. It worked perfectly a few weeks ago, including the inference widget. Anything we can do to fix this? @ClementDelangue@Thom_Wolf
We're loving the inference widget in v2 of the @huggingface model hub, which lets you try out all shared #nlproc models, including our 6-language #SentimentAnalysis model. Also great to see our model has been downloaded almost 64,000 times in the past 30 days! #deeplearning#ai
Evaluation and communication are central to the development of successful AI software. At NLP Town, we've recently started using @streamlit to experiment with our machine learning models and share the results with our clients. #nlproc#ArtificialIntelligence#machinelearning