UBIAIWhat is UBIAI?
It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature.
UBIAI is a tool in the Datasets & Benchmarks category of a tech stack.
Key Features
Multi-format document upload: TXT, CSV , JSON , PDF, DOC, HTMLMultilingual: English, French, German, Arabic, Spanish, etc…Dictionary/Regex auto-annotation: input a list of words or regex patterns along with their associated entities. The tool will automatically scan the documents and auto-annotateML auto-annotation: Train an NER model to auto-annotate your documentsBias detection: visualize entity and word distribution across your documents to detect skewed annotation toward specific entities.
Collaboration: Share annotation tasks among team members and monitor progressAnnotation format export: JSON, IOB, Amazon Comprehend, Stanford CoreNLP
UBIAI Pros & Cons
Pros of UBIAI
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Cons of UBIAI
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UBIAI Alternatives & Comparisons
What are some alternatives to UBIAI?
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
