Pinned Repositories
A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
ABSA-BERT-pair
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
ABSA_DevSplits
Train, Test and Dev Splits for our AAAI'18 Paper
abstractive-text-summarization
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
Conference-Acceptance-Rate
Statistics of acceptance rate for the main AI conference
factCC
Code for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
HyTE
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
IARM
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis, EMNLP 2018
MQRSHIYAN's Repositories
MQRSHIYAN/AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
MQRSHIYAN/Conference-Acceptance-Rate
Statistics of acceptance rate for the main AI conference
MQRSHIYAN/factCC
Code for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
MQRSHIYAN/awesome-chinese-nlp-1
本项目整合了常用中文nlp资源，包括：工具、数据、学习资源和常用模型。
MQRSHIYAN/awesome-knowledge-distillation
Awesome Knowledge Distillation
MQRSHIYAN/bert4keras
keras implement of transformers for humans
MQRSHIYAN/blog
Public repo for HF blog posts
MQRSHIYAN/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
MQRSHIYAN/eventkg
The EventKG is a novel multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structured sources such as the Wikipedia Current Events Portal and Wikipedia event lists in five languages. The EventKG is an extensible event-centric resource modeled in RDF. It relies on Open Data and best practices to make event data spread across different sources available through a common representation and reusable for a variety of novel algorithms and real-world applications.
MQRSHIYAN/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
MQRSHIYAN/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
MQRSHIYAN/GraphWriter
Code for "Text Generation from Knowledge Graphs with Graph Transformers"
MQRSHIYAN/HeterSumGraph
Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"
MQRSHIYAN/highres
Highlight-based Reference-less Evaluation for summarization
MQRSHIYAN/MatchSum
Code for ACL 2020 paper: "Extractive Summarization as Text Matching"
MQRSHIYAN/nlp-data-augmentation
Data Augmentation for NLP. NLP数据增强
MQRSHIYAN/OpenNMT-kpg-release
Keyphrase Generation
MQRSHIYAN/PLMpapers
Must-read Papers on pre-trained language models.
MQRSHIYAN/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
MQRSHIYAN/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
MQRSHIYAN/RE-Net
Recurrent Event Network: Global Structure Inference over Temporal Knowledge Graph (ICLR-RLGM 2019)
MQRSHIYAN/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
MQRSHIYAN/stanza
Official Stanford NLP Python Library for Many Human Languages
MQRSHIYAN/Summarization-Papers
Summarization Papers
MQRSHIYAN/tilse
Timeline summarization and evaluation.
MQRSHIYAN/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
MQRSHIYAN/UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
MQRSHIYAN/wcep-mds-dataset
MQRSHIYAN/What-I-Have-Read
Papers and Slides, Focus on NLP.
MQRSHIYAN/XSum
Topic-Aware Convolutional Neural Networks for Extreme Summarization