1/7/2023 0 Comments Hiroshi suzuki romance bpm![]() ![]() The rules take into consideration parts of speech and the hypernymy structure encoded in WordNet. The supervised ML component leverages features such as word embeddings over referring expressions, parts of speech, and grammatical and semantic roles. This method achieves state of the art performance. We show that simple voting approaches to inferring the animacy of a chain from its constituent words perform relatively poorly, and then present a hybrid system merging supervised machine learning (ML) and a small number of hand-built rules to compute the animacy of referring expressions and co-reference chains. We discuss why this approach to the problem is ill-posed, and present a new approach based on classifying the animacy of co-reference chains. Prior work treated animacy as a word-level property, and has developed statistical classifiers to classify words as either animate or inanimate. Animacy is a necessary property for a referent to be an agent, and thus animacy detection is useful for a variety of natural language processing tasks, including word sense disambiguation, co-reference resolution, semantic role labeling, and others. ![]()
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