Paper Info
Title
Novel Event Detection and Classification for Historical Texts
Abstract
Event processing is an active area of research in the Natural Language Processing community but resources and automatic systems developed so far have mainly addressed contemporary texts. However, the recognition and elaboration of events is a crucial step when dealing with historical texts particularly in the current era of massive digitization of historical sources: research in this domain can lead to the development of methodologies and tools that can assist historians in enhancing their work, while having an impact also on the field of Natural Language Processing. Our work aims at shedding light on the complex concept of events when dealing with historical texts. More specifically, we introduce new annotation guidelines for event mentions and types, categorised into 22 classes. Then, we annotate a historical corpus accordingly, and compare two approaches for automatic event detection and classification following this novel scheme. We believe that this work can foster research in a field of inquiry so f...
Year
DOI
Venue
2019
10.1162/coli_a_00347
Computational Linguistics
Field
DocType
Volume
Computer science,Complex event processing,Artificial intelligence,Natural language processing
Journal
45
Issue
ISSN
Citations 
2
0891-2017
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Rachele Sprugnoli15511.41
Sara Tonelli210915.18