Papers with Knowledge Base Population
Discovering Implicit Knowledge with Unary Relations (P18-1)
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| Challenge: | State-of-the-art relation extraction methods only recognize relationships between mentions of entity arguments stated explicitly in the text. |
| Approach: | They propose a method to identify relations between two entities using unary relations and a common deep learning based representation. |
| Outcome: | The proposed method outperforms state-of-the-art relation extraction technology on a web scale knowledge base population benchmark. |
Laying the Groundwork for Knowledge Base Population: Nine Years of Linguistic Resources for TAC KBP (L18-1)
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| Challenge: | Knowledge Base Population (KBP) evaluations target information extraction technologies for knowledge bases comprised of entities, relations, and events. |
| Approach: | They describe the linguistic resources provided by Linguistic Data Consortium for TAC KBP since 2009 . they highlight changes made to support evolving evaluation requirements . |
| Outcome: | The evaluations have targeted information extraction technologies for the population of knowledge bases comprised of entities, relations, and events. |