@inproceedings{li-etal-2019-multilingual,
title = "Multilingual Entity, Relation, Event and Human Value Extraction",
author = "Li, Manling and
Lin, Ying and
Hoover, Joseph and
Whitehead, Spencer and
Voss, Clare and
Dehghani, Morteza and
Ji, Heng",
editor = "Ammar, Waleed and
Louis, Annie and
Mostafazadeh, Nasrin",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-4019",
doi = "10.18653/v1/N19-4019",
pages = "110--115",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Multilingual Entity, Relation, Event and Human Value Extraction
%A Li, Manling
%A Lin, Ying
%A Hoover, Joseph
%A Whitehead, Spencer
%A Voss, Clare
%A Dehghani, Morteza
%A Ji, Heng
%Y Ammar, Waleed
%Y Louis, Annie
%Y Mostafazadeh, Nasrin
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F li-etal-2019-multilingual
%X 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.
%R 10.18653/v1/N19-4019
%U https://aclanthology.org/N19-4019
%U https://doi.org/10.18653/v1/N19-4019
%P 110-115
Markdown (Informal)
[Multilingual Entity, Relation, Event and Human Value Extraction](https://aclanthology.org/N19-4019) (Li et al., NAACL 2019)
ACL
- Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare Voss, Morteza Dehghani, and Heng Ji. 2019. Multilingual Entity, Relation, Event and Human Value Extraction. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 110–115, Minneapolis, Minnesota. Association for Computational Linguistics.