paper-conference

Lessons Learned from a Citizen Science Project for Natural Language Processing
Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly …
Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Şahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych
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From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains
Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB). It is crucial in a …
Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych
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A Multi-Platform Annotation Ecosystem for Domain Adaptation
This paper describes an ecosystem consisting of three independent text annotation platforms. To demonstrate their ability to work in …
Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman
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Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform
Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains. It disambiguates mentions, …
Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, Iryna Gurevych
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The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact …
Jan-Christoph Klie, Michael Bugert, Beto Boullosa, Richard Eckart de Castilho, Iryna Gurevych
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Multimodal Frame Identification with Multilingual Evaluation
An essential step in FrameNet Semantic Role Labeling is the Frame Identification (FrameId) task, which aims at disambiguating a …
Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly-Sergieh, Stefan Roth
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