RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
| Autor: | Ying Lin, Jiawei Han, Yi Fung, Manling Li, Shih-Fu Chang, Qing Lyu, Ben Zhou, Xudong Lin, Haoyu Wang, Chris Callison-Burch, Martha Palmer, Alexander Dong, Xiaodong Yu, Piyush Mishra, Dídac Surís, Tuan Lai, Hongming Zhang, Zhenhailong Wang, Susan Brown, Dan Roth, Brian Chen, Carl Vondrick, Sha Li, Haoyang Wen, Heng Ji, Xiaoman Pan |
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| Rok vydání: | 2021 |
| Předmět: |
Coreference
Information retrieval Event tracking Computer science Event (computing) 010102 general mathematics Cross media 02 engineering and technology Construct (python library) Resolution (logic) computer.software_genre 01 natural sciences Schema (genetic algorithms) Information extraction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0101 mathematics computer |
| Zdroj: | NAACL-HLT (Demonstrations) |
| Popis: | We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video). The system advances state-of-the-art from two aspects: (1) extending from sentence-level event extraction to cross-document cross-lingual cross-media event extraction, coreference resolution and temporal event tracking; (2) using human curated event schema library to match and enhance the extraction output. We have made the dockerlized system publicly available for research purpose at GitHub, with a demo video. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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