Multilingual Entity, Relation, Event and Human Value Extraction
| Autor: | Ying Lin, Manling Li, Spencer Whitehead, Joe Hoover, Morteza Dehghani, Clare R. Voss, Heng Ji |
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| Rok vydání: | 2019 |
| Předmět: |
Coreference
Relation (database) Event (computing) business.industry Computer science 010102 general mathematics 05 social sciences Value (computer science) 050109 social psychology Timeline computer.software_genre 01 natural sciences Relationship extraction Knowledge extraction Container (abstract data type) 0501 psychology and cognitive sciences Artificial intelligence 0101 mathematics business computer Natural language processing |
| Zdroj: | NAACL-HLT (Demonstrations) |
| DOI: | 10.18653/v1/n19-4019 |
| Popis: | This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, relation extraction, event extraction, and coreference. It extracts and aggregates knowledge elements across multiple languages and documents as well as provides visualizations of the results along three dimensions: temporal (as displayed in an event timeline), spatial (as displayed in an event heatmap), and relational (as displayed in entity-relation networks). For our system to further support users’ analyses of causal sequences of events in complex situations, we also integrate a wide range of human moral value measures, independently derived from region-based survey, into the event heatmap. This system is publicly available as a docker container and a live demo. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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