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Finding Trolls Under Bridges: Preliminary Work on a Motif Detector
We briefly describe an annotation effort to produce data for training motif detection, which is on-going.
The ABBE Corpus: Animate Beings Being Emotional
We provide the ABBE corpus -- Animate Beings Being Emotional -- a new double-annotated corpus of texts that captures this key information for one class of emotion experiencer, namely, animate beings in the world described by the text.
Towards an Atlas of Cultural Commonsense for Machine Reasoning
Existing commonsense reasoning datasets for AI and NLP tasks fail to address an important aspect of human life: cultural differences.
Automatically Detecting the Position and Type of Psychiatric Evaluation Report Sections
To model conventions for section order, we integrated these n-gram models with a Hierarchical Hidden Markov Model (HHMM) representing the probabilities of observed section orders found in the corpus, and then used this HHMM n-gram model in a decoding framework to infer the most likely section boundaries and section types for documents with their section labels removed.
Overview of Annotation Creation: Processes & Tools
This chapter outlines the process of creating end-to-end linguistic annotations, identifying specific tasks that researchers often perform.
