Description-Based Text Similarity

arXiv:2305.12517v3 Announce Type: replace-cross
Abstract: Identifying texts with a given semantics is central for many information seeking scenarios. Similarity search over vector embeddings appear to be central to this ability, yet the similarity reflected in current text embeddings is corpus-driven, and is inconsistent and sub-optimal for many use cases. What, then, is a good notion of similarity for effective retrieval of text?
We identify the need to search for texts based on abstract descriptions of their content, and the corresponding …

abstract arxiv cases cs.cl cs.ir cs.lg current embeddings good information notion search semantics text type use cases vector vector embeddings