A Taxonomy of Ambiguity Types for NLP

arXiv:2403.14072v1 Announce Type: new
Abstract: Ambiguity is an critical component of language that allows for more effective communication between speakers, but is often ignored in NLP. Recent work suggests that NLP systems may struggle to grasp certain elements of human language understanding because they may not handle ambiguities at the level that humans naturally do in communication. Additionally, different types of ambiguity may serve different purposes and require different approaches for resolution, and we aim to investigate how language models' …

abstract arxiv communication cs.cl human humans language language understanding nlp nlp systems speakers struggle systems taxonomy type types understanding work