231sm/Low_Resource_KBP

knowledge graph population in low resource conditions # Low_Resource_KBP knowledge graph population in low resource conditions The file "*Few-Shot_ED.json.zip*" is the ***FewEvent*** dataset for the paper accepted by WSDM 2020 ***"Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection"*** ## Source of Raw Data * We first scale up the number of event types in existing datasets, including the ACE-2005 corpus, and TAC-KBP-2017 Event Track Data. * We then import and extend some new event types based on an automatically-labeled event data, from Freebase and Wikipedia, constrained to specific domains such as music, film, sports, education, etc. ## Data Structure In "*Few-Shot_ED.json.zip*"，the key is "*event type label*", the value is the event instances. {event_type_label1: \[instance1, instance2, ...\], event_type_label2: ...} ### example of an event instance: (Note that the sentence should be cleaned, e.g., To expand abbreviations) \["In trucks and on foot they came to the town of Safwan", "came", \[7, 6, 12\]\] * "In trucks and on foot they came to the town of Safwan" is an event mention * "came" is trigger * 7 means the distance from trigger "came" to the beginning of the sentence * 6 means the distance from trigger "came" to the ending of the sentence * 12 means the sentence length