Unnamed Entity Recognition of Sense Mentions
This addresses a domain-specific problem in natural language processing for applications like text analysis, but it appears incremental as it builds on existing recognition tasks.
The paper tackles the problem of recognizing mentions of human senses in text by proposing a method for acquiring labeled data and a learning model trained on it, with experiments demonstrating effectiveness on sense recognition.
We consider the problem of recognizing mentions of human senses in text. Our contribution is a method for acquiring labeled data, and a learning method that is trained on this data. Experiments show the effectiveness of our proposed data labeling approach and our learning model on the task of sense recognition in text.