This is a computer program designed to understand what pronouns or other referring words, like "it" or "they," are actually talking about in a piece of text. It works by analyzing the context around the referring word and comparing it to information about potential subjects, ultimately scoring them to find the most likely match.
Why it matters: Filed before the widespread adoption of large language models. Modern LLMs excel at contextual understanding and anaphora resolution, making the methods described significantly more powerful and efficient to implement today.
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