Word-level Prefix/Suffix Sense Detection: A Case Study on Negation Sense with Few-shot Learning
Yameng Li, Zicheng Li, Ying Chen, Shoushan Li · 2023
Morphological analysis is an important research issue in the field of natural language processing.In this study, we propose a context-free morphological analysis task, namely word-level prefix/suffix sense detection, which deals with the ambiguity of sense expressed by prefix/suffix.To research this novel task, we first annotate a corpus with prefixes/suffixes expressing negation (e.g., il-, un-, -less) and then propose a novel fewshot learning approach that applies an inputaugmentation prompt to a token-replaced detection pre-training model.Empirical studies demonstrate the effectiveness of the proposed approach to word-level prefix/suffix negation sense detection.1