1 citations · 1 across the 5 of their papers we have counts for
5 papers
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution
Yilun Zhu, Siyao Peng, Sameer Pradhan +1
Singleton mentions, i.e.~entities mentioned only once in a text, are important to how humans understand discourse from a theoretical perspective. However previous attempts to incor…
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
Siyao Peng, Zihang Sun, Huangyan Shan +4
Named Entity Recognition (NER) is a fundamental task to extract key information from texts, but annotated resources are scarce for dialects. This paper introduces the first dialect…
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank
Verena Blaschke, Barbara Kovačić, Siyao Peng +2
Despite the success of the Universal Dependencies (UD) project exemplified by its impressive language breadth, there is still a lack in `within-language breadth': most treebanks fo…
EEVEE: An Easy Annotation Tool for Natural Language Processing
Axel Sorensen, Siyao Peng, Barbara Plank +1
Annotation tools are the starting point for creating Natural Language Processing (NLP) datasets. There is a wide variety of tools available; setting up these tools is however a hin…
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization
Yilun Zhu, Siyao Peng, Sameer Pradhan +1
Previous attempts to incorporate a mention detection step into end-to-end neural coreference resolution for English have been hampered by the lack of singleton mention span data as…