a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
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Updated
Dec 27, 2022 - Python
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Open Source Text Embedding Models with OpenAI Compatible API
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
A Rasa NLU component library
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
All about Neural Networks!
Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.
Summarizer in python with Spacy and Universal Sentence Encoder build on Flask framework
Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task
Convert MUSE from TensorFlow to PyTorch and ONNX
Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
ASR experiment using Google's Universal Sentence Encoder
Creating an automatic answer checker web application for students and teachers, for grading of the answers submitted by students against an ideal solution uploaded by the teacher.
Full example of semantic search system
Language independent sentiment analysis
Fine-grained Propaganda Detection at NLP4IF 2019
Combined semantic similarity search based visual search engine.
Quora Questions Pair detection with Semantic Similarity
It is well-known that stock price movements are highly sensitive to different types of news, including global events such as outbreaks of epidemics or military conflicts, as well as what people post about specific companies on their social networks. Previous research has studied methods to predict stock price movements based on sentiment analysi…
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