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Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
A curated list of pretrained sentence and word embedding models
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
实体识别比赛
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Using syntactic and semantic probing tasks to evaluate how contextual word embeddings encode language
Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
including a spider, a browser, a prediction model and analysis
ACL 2022: Just Rank: Rethinking Evaluation with Word and Sentence Similarities
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019 and CODS-COMAD 2020
this is a project concerning SCU alumni
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark
Machine learning, in numpy
ACL 2022 paper "Towards Better Characterization of Paraphrases"
Code for the article: Laura Rimell, Jean Maillard, Tamara Polajnar and Stephen Clark. 2016. RELPRON: A Relative Clause Composition Data Set for Compositional Distributional Semantics. Computational Linguistics.
Code and Resources for the paper 'Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs' by Lepori, Linzen, and McCoy
Implementation of SATA Tree-LSTM (Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations, AAAI 2019)
Simple language-driven navigation tasks for studying compositional learning
Multilingual Sentence & Image Embeddings with BERT
Unsupervised text tokenizer for Neural Network-based text generation.
A python tool for evaluating the quality of sentence embeddings.
Model Serving on PyTorch
Official Stanford NLP Python Library for Many Human Languages
Framework for building pipelines of NLP processing and classification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.