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Methods for Matching English Language Addresses
March 20, 2024, 4:48 a.m. | Keshav Ramani, Daniel Borrajo
cs.CL updates on arXiv.org arxiv.org
Abstract: Addresses occupy a niche location within the landscape of textual data, due to the positional importance carried by every word, and the geographical scope it refers to. The task of matching addresses happens everyday and is present in various fields like mail redirection, entity resolution, etc. Our work defines, and formalizes a framework to generate matching and mismatching pairs of addresses in the English language, and use it to evaluate various methods to automatically perform …
abstract arxiv cs.ai cs.cl cs.ir data english english language etc every fields importance landscape language location textual type word work
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