Microsoft deletes lexical noise.

This topic was created by I.Geller .

  1. I.Geller Bronze badge

    Microsoft deletes lexical noise.

    Microsoft deletes lexical noise.

    The sentence: “The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.” If the word “feared” is selected, then “they” refers to the city council. If “advocated” is selected, then “they” presumably refers to the demonstrators."

    Either

    - city councilmen feared

    or

    - demonstrators feared

    is lexical noise.

    Either

    - city councilmen advocated

    or

    - demonstrators advocated

    is lexical noise, where such lexical noise is typically superfluous predicative definitions that do not explain the central themes contained within the digital textual information and, accordingly, removal of such noise often results in an improvement in the quality of the structured data.

    "The Microsoft team approached WNLI by a new method based on a novel deep learning model that frames the pronoun-resolution problem as computing the semantic similarity between the pronoun and its antecedent candidates."

    Microsoft deletes lexical noise.

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