Entity-Relation Extraction as Multi-turn Question Answering

时间 2020-12-30

标签 NLP论文阅读繁體版

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Entity-Relation Extraction as Multi-turn Question Answering 发现领域内的问题 task formalization level 三元组本身的知识表达能力有限，比如，Musk case里的hierarchical dependency，时间、地点、职位、人物需要在一个更高维度的空间表达 algorithm level 输入：a raw se

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1. 实体-关系联合抽取：Entity-Relation Extraction as Multi-turn Question Answering
2. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
3. 【cs224n-7】Question Answering
4. Information Extraction over Structured Data: Question Answering with Freebase【论文笔记】
5. 【论文笔记】Information Extraction over Structured Data: Question Answering with Freebase
6. Question Answering with Subgraph Embedding
7. Question Answering with Subgraph Embeddings笔记
8. nips 208 visual question answering 导读
9. Neural Generative Question Answering笔记
10. 论文阅读 decaNLP -- The Natural Language Decathlon: Multitask Leaning as Question Answering

>>更多相关文章<<