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How Computers Parse the Ambiguity of Everyday Language

By The Atlantic

July 12, 2018

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Ohio State University researchers investigating the challenge of ambiguous language for computers used an online game to clarify work in the field of natural language processing (NLP).

The researchers' Madly Ambiguous game challenges players to stump a computer by filling a blank space in a sentence with a word whose semantic role the system attempts to infer.

The computer either follows a rule-based approach traditionally used in NLP by focusing on the main noun and looking it up in a semantic database, or uses word embedding to map words and phrases onto a vector space in which similar words appear closer to each other.

Since the game's launch, the computer has corresponded with user judgments 64% of the time using the first method, and 70% of the time with the second technique.

From The Atlantic
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