yanglinyi Goto Github PK

a-rationale-centric-framework-for-human-in-the-loop-machine-learning

Implementation for ACL 2022 paper: A Rationale-Centric Framework For Human-in-the-loop Machine Learning.

academic-kickstart

My Academic Homepage

academic-kickstart-linyi

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

counterfactuals-for-sentiment-analysis

Code and Data for ACL-21 paper: "Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis"

distant-supervision

Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"

dlquant

Applying Deep Learning and NLP in Quantitative Trading

earningscall_dataset

The earnings conference call dataset of S&P 500 companies

explainable-financial-text-classification

Repository for COLING-20 Paper: Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

factmix

Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"

financialdatasets

SmoothNLP 金融文本数据集(公开) Public Financial Datasets for NLP Researches Only

fine-grained-causal-reasoning

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.

finnlp-progress

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.

fintrust

Code for ACL-2023 paper "Measuring Consistency in Text-based Financial Forecasting Models"

fundportfolio

资产配置方案项目

glue-x

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.

grid_search_tutorial_for_stock_forecasting

A simple tutorial for using the grid search to find the optimal hyper-parameters

html-hierarchical-transformer-based-multi-task-learning-for-volatility-prediction

Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

leveraging-bert-to-improve-the-fears-index-for-stock-forecasting

Leveraging BERT to Improve the FEARS Index for Stock Forecasting

llm.c

LLM training in simple, raw C/CUDA

lstm

maec-a-multimodal-aligned-earnings-conference-call-dataset-for-financial-risk-prediction

Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction

nlp-progress

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.

opennre

Neural Relation Extraction implemented in TensorFlow

semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

supervised-knowledge-makes-large-language-models-better-in-context-learners

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.

svm-cnn-rnn-han-popular-nlp-models

Four easy to use baselines for NLP research

tensorflow

An Open Source Machine Learning Framework for Everyone

xai-dataset-and-benchmark

This repo aims to provide an easy-to-use and robust benchmark to a broad range of NLP tasks for evaluating XAI methods.