CLUEbenchmark / KgCLUEbenchLinks
benchmark of KgCLUE, with different models and methods
☆27Updated 3 years ago
Alternatives and similar repositories for KgCLUEbench
Users that are interested in KgCLUEbench are comparing it to the libraries listed below
Sorting:
- [Unofficial] Predict code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification☆54Updated 2 years ago
- 基于PaddleNLP开源的抽取式UIE进行医学命名实体识别(torch实现)☆43Updated 2 years ago
- 基于“Seq2Seq+前缀树”的知识图谱问答☆71Updated 3 years ago
- ☆56Updated 2 years ago
- using lear to do ner extraction☆29Updated 3 years ago
- CTC2021-中文文本纠错大赛的SOTA方案及在线演示☆72Updated 2 years ago
- pytorch Efficient GlobalPointer☆55Updated 3 years ago
- 复习论文《A Frustratingly Easy Approach for Joint Entity and Relation Extraction》☆32Updated 4 years ago
- RelExt: A Tool for Relation Extraction from Text. 文本实体关系抽取工具。☆49Updated 3 years ago
- 基于seq2edit (Gector) 的中文文本纠错。☆28Updated 2 years ago
- 用BERT在百度WebQA中文问答数据集上做阅读问答☆65Updated 5 years ago
- ccks金融事件主体抽取☆72Updated 4 years ago
- 基于GlobalPointer的实体/关系/事件抽取☆147Updated 3 years ago
- SinglepassTextCluster, an TextCluster tools based on Singlepass cluster algorithm that use tfidf vector and doc2vec,which can be used for…☆63Updated 3 years ago
- 句子匹配模型,包括无监督的SimCSE、ESimCSE、PromptBERT,和有监督的SBERT、CoSENT。☆99Updated 2 years ago
- 基于pytorch的百度UIE命名实体识别。☆56Updated 2 years ago
- 基于向量召回的检索式对话系统解决方案,dense retrieval,FAQ……☆33Updated 3 years ago
- 中文版unilm预训练模型☆83Updated 4 years ago
- 中文bigbird预训练模型☆93Updated 3 years ago
- FAQ-based Question Answering System using BERT☆72Updated 2 years ago
- 基于预训练模型 BERT 的阅读理解☆94Updated last year
- 基于百度uie的关系抽取☆20Updated 2 years ago
- 使用多头的思想来进行命名实体识别☆33Updated 4 years ago
- ☆10Updated 2 years ago
- ☆10Updated 2 years ago
- A simple implementation of Biaffine NER.☆34Updated 3 years ago
- 🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具,支持BertSoftmax、BertSpan等模型,开箱即用。☆115Updated last year
- 用bert4keras加载CDial-GPT☆38Updated 4 years ago
- CCKS2020 面向中文短文本的实体链指任务。主要思路为:使用基于BiLSTM和Attention的语义模型进行Query和Doc的文本匹配,再针对匹配度进行pairwise排序,从而选出最优的知识库实体。☆47Updated 4 years ago
- 基于 pytorch 的 bert 实现和下游任务微调☆51Updated 2 years ago