Xerox Corporation

Caroline Hagège

Caroline Brun

Jean-Luc Meunier

Stefania Castellani

Claude Roux

Denys Proux

Eric H Cheminot

Frederique Segond

A computer-implemented system and method are provided for warning a user of a missing attachment to an email. The method may include automatically recognizing a natural language of text of an email and selecting a keyword list from a plurality of keyword lists, based on the recognized natural language. Each keyword list is associated with a respective natural language and includes at least one keyword. At least one of the keyword lists includes a multi-sense keyword having a plurality of senses. A first of the plurality of senses is recognized as referring to an attachment and a second of the plurality of senses is recognized as not referring to an attachment. The text of the email is processed to identify an instance, where present, of a keyword that is in the selected keyword list and, for a keyword which is a multi-sense keyword, at least one sense-related rule is applied to a portion of the text which includes the instance of the multi-sense keyword. Based on the application of the at least one sense-related rule, where the email lacks an attachment, a notification is provided to the user.

Linguistically enhanced email detector

A computer implemented electronic out-of-office message analysis system and method are disclosed. The method includes, for each of a plurality of users, receiving a user-generated electronic out-of-office message in a natural language in which a time window of absence and at least one alternate named contact are expressed and, based on the out-of-office message, generating a structured representation of the out-of-office message which links the alternate contact to a normalized representation of the time window. The structured representation of the out-of-office message is stored in a database. From the database it can be determined whether a current user's out-of-office message conflicts with another user's out-of-office message. If a conflict is detected, the current user can be notified.

Detecting conflicts in email messages

A linguistic rewriting rule for use in linguistic processing of an ordered sequence of linguistic tokens includes a token pattern recognition rule that matches the ordered sequence of linguistic tokens with a syntactical pattern. The token pattern recognition rule incorporates a character pattern recognition rule to match characters contained in an ambiguous portion of the ordered sequence of linguistic tokens with a character pattern defining a corresponding portion of the syntactical pattern.

Bi-dimensional rewriting rules for natural language processing

A parser for parsing text includes a tokenizing module which divides the text into an ordered sequence of linguistic tokens. A morphological module associates parts of speech with the linguistic tokens. A detection module identifies candidate titles of creative works, such as works of art. A filtering module filters the candidate titles of works to exclude citations of direct speech from the candidate titles of works. A comparison module compares any remaining candidate titles of works with titles of works in an associated knowledge base. The comparison module annotates the text when a match is found.

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Grenoble, France

Caroline Hagège