nlu VS PromCSE

Compare nlu vs PromCSE and see what are their differences.

PromCSE

Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)" (by YJiangcm)
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nlu PromCSE
25 1
809 131
0.9% -
8.6 5.9
11 days ago 6 months ago
Python Python
Apache License 2.0 -
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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.

PromCSE

Posts with mentions or reviews of PromCSE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.
  • State of the Art in Sentence Embeddings
    2 projects | /r/LanguageTechnology | 3 May 2022
    To answer your question about sentence embedding SOTA, it is not s-Bert and hasn't been for a while. SimCSE officially takes the crown since it's been presented at a conference, though according to paperswithcode's benchmark leaderboard there are other papers on arxiv that report higher performance on STS and similar tasks such as DCPCSE. Having tried both of these for my use case I found SimCSE to be better but YMMV.

What are some alternatives?

When comparing nlu and PromCSE you can also consider the following projects:

spark-nlp - State of the Art Natural Language Processing

DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

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

SimCSE - [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

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

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet

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

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

Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI