davidie

davidie's Stars

• RUCKBReasoning/SubgraphRetrievalKBQA

  The pytorch implementation of Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

  Language:Python9214

• dki-lab/Freebase-Setup

  The last data dump of Freebase with introductory explanation of its schema

  Language:Python6913

• baojunshan/nlp-fluency

  评估自然语言的流畅度

  Language:Python9617

• Sahandfer/CEM

  Repository for the AAAI 2022 paper "CEM: Commonsense-aware Empathetic Response Generation"

  Language:Python8311

• qtli/KEMP

  [AAAI 2022] Knowledge Bridging for Empathetic Dialogue Generation

  Language:Python6411

• kelvinguu/qanli

  Source code for "Transforming Question Answering Datasets Into Natural Language Inference Datasets"

  Language:Python587

• jq2276/Learning2Copy

  Language:Python205

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k602

• JiaweiSheng/CasEE

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

  Language:Python7918

• THUDM/P-tuning

  A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

  Language:Python905111

• TingFree/NLPer-Arsenal

  收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

  Language:Python2.1k248

• longlongman/CasRel-pytorch-reimplement

  Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

  Language:Python19651

• nju-websoft/KGProgress2020fromSemWeb

  从语义网视角看知识图谱的近期研究进展

  173

• waterzxj/UNF

  UNF(Universal NLP Framework)

  Language:Python7011

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.5k9.5k

• steady-pace/Domain_QA

  限定域问答系统包括：自动构建知识库、问句检索、基于微信平台搭建问答系统。本项目所有代码已开源。用户通过简单配置，可以实现快速自动化搭建一个比较完备的领域知识库。另外，基于微信平台如何通过配置来搭建问答系统，具体操作见readme.txt

  Language:Java7130