Source code for ACL 2021 finding paper: CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

A cascaded pointer networks approach for financial hyper-relation extraction which models relationship as functions that map subjects to objects and takes into account the entity's type information

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

Relation Classification via Multi-Level Attention CNNs

This is our model code for *Towards Better Graph-to-Text Generation: Exploring the Synergy of Dual-path Encoder and Pointer Network*.

This is the code for our AACL-IJCNLP2022 paper "PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture"

This repository for the paper "A Deep Neural Network Model for Joint Entity and Relation Extraction"

Codes and Datasets for our EMNLP 2021 (main conference) Long Paper titled "PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction"

该仓库主要记录 NLP 算法工程师相关的面试题

尝试复现论文中的事件检测模型

Source code and dataset for ACL2022 Findings Paper "LEVEN: A Large-Scale Chinese Legal Event Detection dataset"

近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

Source code for Findings of EMNLP2020 paper Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

This project mainly focuses on practical applications bas deep neural network in image classification from the following three aspects: model design and analysis, network optimization and prototype…

The official instructions and implementations to our 2022 Findings of EMNLP: Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

Code for the AACL 2022 Paper "This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text"

Prototypical Network for Semantic Segmentation

Maml and prototypical network implementation from scratch

An implementation of paper https://papers.nips.cc/paper/6996-prototypical-networks-for-few-shot-learning.pdf and some modifications

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

（Accepted By EMNLP2022 main long）SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

A study in using metric-based Meta-Learning for Sound Event Detection

Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network