kdsec / chinese-opinion-target-extractionLinks
Pytorch implementation of "Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction", ACML2018
☆60Updated last year
Alternatives and similar repositories for chinese-opinion-target-extraction
Users that are interested in chinese-opinion-target-extraction are comparing it to the libraries listed below
Sorting:
- Dataset from 'Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction'☆45Updated 6 years ago
- 一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 的简单Demo, 模型采用BERT+CNN ( https://github.com/Wangpeiyi9979/IE-Bert-CNN )。 Demo使用Fl…☆125Updated 6 years ago
- 基于 Bi-LSTM 和 CRF 的中文语义角色标注☆87Updated 6 years ago
- 面向金融领域的事件主体抽取(ccks2019),一个baseline☆119Updated 6 years ago
- Nugget Proposal Networks for Chinese Event Detection☆137Updated 7 years ago
- ☆91Updated 7 years ago
- Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism☆200Updated 6 years ago
- 使用BERT解决lic2019机器阅读理解☆89Updated 6 years ago
- 2018百度机器阅读理解技术竞赛☆168Updated 6 years ago
- keras implement of dgcnn for reading comprehension☆164Updated 5 years ago
- 中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果☆99Updated 5 years ago
- 法研杯2019 阅读理解赛道 top3☆150Updated last year
- 2019语言与智能技术竞赛-基于知识图谱的主动聊天☆115Updated 6 years ago
- IPRE: a Dataset for Inter-Personal Relationship Extraction☆94Updated 5 years ago
- WordMultiSenseDisambiguation, chinese multi-wordsense disambiguation based on online bake knowledge base and semantic embedding similarit…☆129Updated 6 years ago
- transform multi-label classification as sentence pair task, with more training data and information☆178Updated 5 years ago
- 一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDem…☆187Updated 6 years ago
- 2019 语言与智能技术竞赛-知识驱动对话 B榜第5名源码和模型☆25Updated 5 years ago
- Chinese Open Information Extraction (Tree-based Triple Relation Extraction Module)☆117Updated 8 years ago
- 这是一个seq2seq模型,编码器是bert,解码器是transformer的解码器,可用于自然语言处理中文本生成领域的任务☆71Updated 6 years ago
- baseline for ccks2019-ipre☆48Updated 5 years ago
- 2019年百度的三元组抽取比赛,一个baseline☆208Updated 6 years ago
- Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms☆95Updated 6 years ago
- 2019年百度的实体链指比赛(ccks2019),一个baseline☆112Updated 5 years ago
- 2019百度语言与智能技术竞赛信息抽取赛代5名代码☆69Updated 6 years ago
- 2019 Language and Intelligence Challenge, Information Extraction☆29Updated 6 years ago
- 教育行业新闻 自动文摘 语料库 自动摘要☆201Updated 7 years ago
- 这是一个用于解决生成在生成任务中(翻译,复述等等),多样性不足问题的模型。☆45Updated 6 years ago
- CCKS 2019 Task 2: Entity Recognition and Linking☆94Updated 5 years ago
- 新词发现 基于词频、凝聚系数和左右邻接信息熵☆122Updated 5 years ago