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Name: VHT
Type: User
Bio: NLP Researcher
Location: Kyoto, Japan
Name: VHT
Type: User
Bio: NLP Researcher
Location: Kyoto, Japan
[EMNLP2022] Source code for Neural Machine Translation with Contrastive Translation Memories
Findings ACL2021 Two Parents, One Child: Dual Transfer for LR NMT
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow
Neural Relation Extraction implemented in PyTorch
Code and dataset for Findings of EMNLP 2020 paper titled "A Multi-task Learning Framework for Opinion Triplet Extraction"
A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks
The dataset for the ACL2018 paper "Van-Thuy Phi, Joan Santoso, Masashi Shimbo and Yuji Matsumoto. Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics."
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Code for ACL 2022 main conference paper "Neural Machine Translation with Phrase-Level Universal Visual Representations".
PredPatt: Predicate-Argument Extraction from Universal Dependencies
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Code for 'Prototypical Representation Learning for Relation Extraction'.
Code for modeling encoder-decoder network with pointer network for joing entity and relation extraction
Code and models for the paper "A Frustratingly Easy Approach for Entity and Relation Extraction"
Graph Convolutional Networks in PyTorch
Pytorch implementation of Center Loss
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
A PyTorch implementation of GraphRel
QLoRA: Efficient Finetuning of Quantized LLMs
Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.
Code and dataset for "Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction" (EMNLP'19)
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.