natural-language-processing
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.
Repositories (1402)
读过的CV方向的一些论文，图像生成文字、弱监督分割等
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
Discovering New Intents with Deep Aligned Clustering (AAAI 2021)
Benchmark for Thai sentence representation
List of AI Internships
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
《自然语言处理综论》第三版翻译。
[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs
Библиотека для извлечения статистик из текстов на русском языке.
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynami...
Deliver the ready-to-train data to your NLP model.
Zemberek Turkish NLP examples written in Python using the JPype package. Battle-tested in hackathons and r&d projects by many students and researchers...
Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021. It is based on our NERE toolkit (https://github.com/Receiling...
The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.
A comparison tool of Japanese tokenizers
Basic text analytics and natural language processing in Python
I created an application which takes in live speech or audio recording as input, converts it into text and displays the relevant Indian Sign Language...
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
A Shiny Application for Inspecting Structural Topic Models
:speech_balloon: An English-Persian Dictionary of Computer Science and Artificial Intelligence
Papers for Open Knowledge Discovery
DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector...
Python library for information extraction of quantities from unstructured text
A Paper List for Personalized, Emotional, and stylized Dialog
Public Opinion Mining System of Taiwanese Forums
Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
Open source tools for Estonian natural language processing
Tableau-based Theorem Prover for Natural Logic and Language
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
Materials for deep NLP course
[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding
A curated list of Early Exiting papers, benchmarks, and misc.
PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.
[ICLR 2025] Benchmarking Agentic Workflow Generation
Stanford CoreNLP in idiomatic Clojure.
A wide variety of research projects developed by the SpokenNLP team of Speech Lab, Alibaba Group.
评估自然语言的流畅度
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A t...
Learn Generative AI with PyTorch (Manning Publications, 2024)
Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from images. We pass...
CogComp's light-weight Python NLP annotators
Emotion analyzer for Japanese text
A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).
Oxford Deep NLP 2017 course - Practical 2: Text Classification