International Business Machines Corporation

Amdocs Software Systems Limited

Airbnb, Inc.

David M Curran

Simon P O'Doherty

Liam S Harpur

Agnia Barsukova

Robert E Loredo

Amelia C Kelly

Keith Bradley

Michael Richard Kerrigan

Maria Abu-Saba

Juraj Sofranko

James Lynch

Oisin Boydell

Scott P Joynt

An approach is described for addressing propagation of inaccurate information in a social networking environment. An associated method may include identifying inaccurate information within the social networking environment, facilitating creation of countering content to address the inaccurate information, and disseminating the countering content. The countering content may be determined by identifying behavior of one or more users among a plurality of users within the social networking environment. Identifying the inaccurate information within the social networking environment may include receiving information provided within the social networking environment. Upon determining that the received information is factual and thus objectively verifiable, it may be determined whether the received information matches analogous information verified as accurate. Upon determining that the received information does not match the analogous information verified as accurate, the received information may be marked as inaccurate.

Addressing propagation of inaccurate information in a social networking environment

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

Mechanisms are provided for assembling natural language user inputs into questions for a question-and-answer (QA) system. The mechanisms initialize a timer to a threshold amount of time, receive a first input of content-bearing natural language from a user computing device, and initiate running of the timer in response. The mechanisms determine whether a second input of content-bearing natural language is received from the user computing device prior to the threshold amount of time being reached by the timer. If so, the second input is grouped with the first input to generate a question comprising content of both the first input and the second input, and the timer is reset. In response to the timer reaching the threshold without further input from the user computing device, the question is provided to the QA system as an input question for processing by the QA system.

Question pre-processing in a question and answer system

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.

Protecting domain-specific language of a dialogue service

A system, method, and computer program product are provided for personalizing content for a user based on a size of a working vocabulary of the user. In use, text is identified from content that is one of consumed and output by a user. Additionally, a size of a working vocabulary of the user is identified using the text. Further, the content is personalized based on the size of the working vocabulary of the user.

System, method, and computer program for personalizing content for a user based on a size of a working vocabulary of the user

A system, method, and computer program product are provided for providing content to a user utilizing a mood of the user. In use, data associated with a mood of a user is identified. Additionally, the mood of the user is determined, based on the data. Further, content is provided to the user, utilizing the mood of the user.

System, method, and computer program for providing content to a user utilizing a mood of the user

A system, method, and computer program product are provided for determining a subjective distance between two locations. In use, a first location and a second location are identified. Additionally, a subjective distance between the first location and the second location is determined, utilizing a model.

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Dublin, Ireland

David M Curran