Jun 18, 2022
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As phrases and sentences combine to refer to people, places, and things (entities) as pronouns, these references become increasingly complicated to separate. This is especially true Industry Email List if multiple entities resolve to start being added to the text, as well as the growing number of sentences. Here is an example of this Cornell explanation of coreference resolution and anaphora: a) John made two trips to France. b) They were both wonderful. Humans Industry Email List and ambiguity Although imperfect, humans are mostly indifferent to these lexical challenges of coreference resolution and polysemy Since we have a notion of Industry Email List common sense understanding. We understand what “she” or “they” refer to when we read several sentences and paragraphs or hear a back-and-forth conversation since we can keep track of who the focus of attention is. We Industry Email List automatically realize, for example, when a sentence contains other related words, such as "deposit" or " and "cash", because these are all about "bank" as a financial institute, rather than a "bank" . » In word order, we are aware of the context in which words and sentences are spoken or written; and that makes sense to us. So we are able to handle ambiguity and nuance quite easily. Machines and ambiguity The machines do not automatically understand the contextual word connections needed to disambiguate “bank” (river) and “bank” (financial institute). Even fewer, polysemous words with nuanced multiple meanings, like “get” and “run.” Machines Industry Email List also easily lose track of who is spoken in sentences, so coreference resolution is also a major challenge. When the spoken word, like conversational search (and homophones), gets Industry Email List into the mix, it all gets even harder, especially when you start adding phrases and phrases together.