Joint Event Extraction via Structured Prediction with Global Features
- Authors
- Qi LiHeng JiLiang Huang
- Journal
- Meeting of the Association for Computational Linguistics
In The Last Decade
doi.org/w12314458 →Countries where authors are citing Joint Event Extraction via Structured Prediction with Global Features
This map shows the geographic impact of Joint Event Extraction via Structured Prediction with Global Features. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joint Event Extraction via Structured Prediction with Global Features with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joint Event Extraction via Structured Prediction with Global Features more than expected).
Fields of papers citing Joint Event Extraction via Structured Prediction with Global Features
This network shows the impact of Joint Event Extraction via Structured Prediction with Global Features. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Joint Event Extraction via Structured Prediction with Global Features.
About Joint Event Extraction via Structured Prediction with Global Features
This paper, published in 2013, received 326 indexed citations . Written by Qi Li, Heng Ji and Liang Huang covering the research area of Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Artificial Intelligence (311 citations), Information Systems (76 citations) and Management Science and Operations Research (43 citations). Published in Meeting of the Association for Computational Linguistics.
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This paper is also available at doi.org/w12314458.