This Demo is developed by KG Research Group of NEU We provide a Demo of TechKG, which can ben used as a research tool to help users to find some basic information of a researcher or a domain termonology.
| We provide following kinds of knowledge base for download. Each knowledge base contains 38 research domains. Each research domains corresponds to a discipline. | |
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| TechKG | The original TechKG knowledge base. |
| TechKG10 | A subset of TechKG. It contains entities that meet following two requirements. First, if the entity is a keyword, its tf*idf value must rank in top-10%. Second, each entity has at least 10 mentions. |
| TechTerm | A Chinese domain terminologies knowledge base selected from TechKG. It contains 10,000 terminologies with the highest tf*idf values for each research domain. |
| TechBiTerm | A "Chinese-English" terminology pair knowledge base selected from TechKG. It contains 10,000 bilingual translation pairs with the highest co-occurrence values in each research domain. |
| TechAbs | A knowledge base that stores papers\u2019 abstracts. It contains 100,000 randomly selected abstracts in each research domain. |
| TechQA | A dataset designed for the KBQA task. It is constructed based on TechKG-10. All the questions in it are generated by some predefined patterns. Currently, it focuses on 4 kinds of questions which are "who","what","when" and "where" |
| TechNER | A knowledge base that is based on TechTerm and constructed by a distant supervision method. It contains 30,000 randomly selected training sentences in each domain. |
| TechRE | A knowledge base that is based on TechKG10 and constructed by a distant supervision method. It contains 200,000 randomly selected training bags in each domain. Each bag contains averagely 6 sentences. |
| Feiliang Ren |
| Yining Hou | Xiaobo Liang | Lingfeng Pan | Yan Li |
| Yi Zhang | Yongkang Liu | Rongsheng Zhao | Yu Guo |
| Ruicheng Ming | Huimin Wu | ||