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Name: Linyi Yang
Type: User
Name: Linyi Yang
Type: User
Implementation for ACL 2022 paper: A Rationale-Centric Framework For Human-in-the-loop Machine Learning.
My Academic Homepage
Mapping a variable-length sentence to a fixed-length vector using BERT model
Code and Data for ACL-21 paper: "Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis"
Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"
Applying Deep Learning and NLP in Quantitative Trading
The earnings conference call dataset of S&P 500 companies
Repository for COLING-20 Paper: Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"
SmoothNLP 金融文本数据集(公开) Public Financial Datasets for NLP Researches Only
We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event causality extraction and Causal QA. Our dataset contains human annotations of 25K cause-effect event pairs and 24K question-answering pairs within multi-sentence samples.
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
Code for ACL-2023 paper "Measuring Consistency in Text-based Financial Forecasting Models"
资产配置方案项目
We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.
A simple tutorial for using the grid search to find the optimal hyper-parameters
Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
Leveraging BERT to Improve the FEARS Index for Stock Forecasting
LLM training in simple, raw C/CUDA
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
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.
Neural Relation Extraction implemented in TensorFlow
Personality Alignment of Language Models
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Repository for ICLR 2024 Paper: Supervised Knowledge Makes Large Language Models Better In-context Learners. We offer a comprehensive suite of resources, including 16 curated datasets, prompts, model checkpoints, and LLM outputs across 9 distinct tasks.
Four easy to use baselines for NLP research
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.