International Business Machines Corporation

Agnia Barsukova

David M Curran

Amelia C Kelly

Simon P O'Doherty

Scott P Joynt

Detecting overnegation in text is provided. A plurality of word lists are compiled. An input text is received. One or more combined weightings are determined, wherein each combined weighting is based, at least in part, on a portion of the input text and the plurality of word lists. A total overnegation score of the input text is generated based, at least in part, on a statistical aggregation of the one or more combined weightings. In response to determining that the total overnegation score exceeds a pre-determined threshold, it is determined that the input text contains a logical error. In response to the total overnegation score exceeding a pre-determined level, one or more actions are executed.

Detecting overnegation in text

Concepts for protecting domain-specific language of a dialogue service are presented. The presence of a protected term in a domain-specific query may be identified based on the domain that is specific to the query. The identified protected term may then be substituted with an associated substitute term.

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Dublin, Ireland

Agnia Barsukova