Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, inter...
This is an advanced Python tool that empowers you to effortlessly draft customizable PowerPoint slides using the Generative Pre-trained Transformer (G...
๐ค The Cocoa Artificial Intelligence Lab
Learn Generative AI with PyTorch (Manning Publications, 2024)
A tool to parse recipe ingredients into structured data
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Di...
A linux based Virtual assistant on Artificial Intelligence in C
Information extraction from English and German texts based on predicate logic
Kana-Kanji Conversion Module written in Swift, supporting Neural Kana-Kanji Conversion and other cool features.
Collection of NLP model explanations and accompanying analysis tools
Easy Natural Language Processing
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Neural network parametrized objective to disentangle and transfer style and content in text
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
A paper list for aspect based sentiment analysis.
Sentence Embeddings using Siamese SKT KoBERT
Code for Editing Factual Knowledge in Language Models
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"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation
Ruby SDK for Dialogflow
Notebooks for the Seattle PyData 2017 talk on Scattertext
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Natural Language Processing Tutorial for MindSpore Users
[ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
chakki's Aspect-Based Sentiment Analysis dataset
A baseline implementation for FNC-1
Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!
Geotext extracts country and city mentions from text
Implementation of Nested Named Entity Recognition using BERT
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Get started with Machine Learning with Python - An introduction with Python programming examples
Python Tutorials for Data Science
Stanford NLP group's shared Python tools.
Structured Prediction as Translation between Augmented Natural Languages
Natural Language Processing For Everyone
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
An repository containing all the LLM notebooks with tutorial and projects
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynami...
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and de...
Machine learning based text classification in JavaScript using n-grams and cosine similarity
How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.
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Active Learning Awesome Paper
Benchmark for Thai sentence representation
[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs
List of AI Internships
The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.