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.
Machine reading comprehension on clinical case reports
Japanese sentiment analyzer implemented in Python.
Long Document Summarization Papers
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
A Greek edition of BERT pre-trained language model
A Flexible Deep Learning Approach to Fuzzy String Matching
[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
๐ค๐ An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient...
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
๐ก List of Tools, Libraries, Models, Datasets and other resources for Turkish NLP.
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[NeurIPS 2024] Agent Planning with World Knowledge Model
A Great Collection of Deep Learning (e)Books
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Di...
Extracting scientific claims from biomedical abstracts (powered by AllenNLP)
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Collection of NLP model explanations and accompanying analysis tools
Convert the given plain text to MySQL query by ChatGPT
Marathi NLP - is a repository dedicated to development of tools and resources for Marathi language.
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, inter...
"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation
๐ค The Cocoa Artificial Intelligence Lab
Notebooks for the Seattle PyData 2017 talk on Scattertext
Library for unit extraction - fork of quantulum for python3
Natural Language Processing Tutorial for MindSpore Users
Easy Natural Language Processing
Ruby SDK for Dialogflow
Neural network parametrized objective to disentangle and transfer style and content in text
A linux based Virtual assistant on Artificial Intelligence in C
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
Sentence Embeddings using Siamese SKT KoBERT-Networks
Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html
chakki's Aspect-Based Sentiment Analysis dataset
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Geotext extracts country and city mentions from text
A paper list for aspect based sentiment analysis.
Code for Editing Factual Knowledge in Language Models
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate s...
This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.
A baseline implementation for FNC-1
Get started with Machine Learning with Python - An introduction with Python programming examples
Information extraction from English and German texts based on predicate logic
Fast and robust date extraction from web pages, with Python or on the command-line
Stanford NLP group's shared Python tools.
Python Tutorials for Data Science
Structured Prediction as Translation between Augmented Natural Languages
:book: List of some awesome university courses for Machine Learning! Feel free to contribute!