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.
Oxford Deep NLP 2017 course - Open practical
TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
This is where I put all my work in Natural Language Processing
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
A General Purpose NLP library for Turkish
Corpus of Annual Reports in Japan
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be i...
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
document embedding and machine learning script for beginners
자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
A simple markup language to write novel with types.
A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python
The official tool for transforming doccano format into common dataset formats.
Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec
Knowledge Base Question Answering using memory networks
Knowledge extraction from web data
PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
An open information extraction system that provides compact extractions
Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.
[GSOC] Greek language support for spacy.io python NLP software
Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.
Label Embedding Network
A PyTorch implementation of Transformer in "Attention is All You Need"
Go Bindings for BERT NLP Models
spark-based library that helps construct and query knowledge graphs from unstructured and structured data
🤹♀️ Query spaCy's linguistic annotations using GraphQL
:surfer: 依存关系分析,NLP,自然语言处理
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
A full-process dialogue system that can be deployed online
A baseline for WenTianSearch
State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
Word2Vec implementation using numpy
Must-read papers on Natural Language Processing (NLP)
A spaCy wrapper for DBpedia Spotlight
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
Biterm Topic Modelling for Short Text with R
[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset
Term extraction for Russian language
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in...
[ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
Arabic support for textblob
Geolocating twitter users by the content of their tweets
This repo supports various cross-lingual transfer learning & multilingual NLP models.
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
STriP Net: Semantic Similarity of Scientific Papers (S3P) Network