nlu VS frame-semantic-transformer

Compare nlu vs frame-semantic-transformer and see what are their differences.

nlu

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems. (by JohnSnowLabs)
Nlu natural-language-understanding sentiment-classifier text-classification Transformers language-detection named-entity-recognition Seq2seq t5 Lemmatizer spell-checker sentence-embeddings sentiment-analysis bert-embedding text-summarization text-translation Streamlit Pandas dependency-parsing entity-resolution
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frame-semantic-transformer

Frame Semantic Parser based on T5 and FrameNet (by chanind)
framenet huggingface NLP semantic-parsing t5 Transformers
Source Code
chanind.github.io
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nlu frame-semantic-transformer
25 1
805 49
1.0% -
8.7 6.2
18 days ago 8 months ago
Python Python
Apache License 2.0 MIT License
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nlu

Posts with mentions or reviews of nlu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.

frame-semantic-transformer

Posts with mentions or reviews of frame-semantic-transformer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nlu and frame-semantic-transformer you can also consider the following projects:

spark-nlp - State of the Art Natural Language Processing

fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

spark-nlp-display - A library for the simple visualization of different types of Spark NLP annotations.

KeyPhraseTransformer - KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc

simpleT5 - simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

zeroshot_topics - Topic Inference with Zeroshot models

PromCSE - Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

RATransformers - RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

ckip-transformers - CKIP Transformers

nlu vs spark-nlp frame-semantic-transformer vs fastT5 nlu vs spark-nlp-display frame-semantic-transformer vs KeyPhraseTransformer nlu vs streamlit-webrtc-example frame-semantic-transformer vs simpleT5 nlu vs BERTweet frame-semantic-transformer vs zeroshot_topics nlu vs PromCSE frame-semantic-transformer vs RATransformers nlu vs text-to-text-transfer-transformer nlu vs ckip-transformers