Fuji Xerox Co., Ltd.

Palo Alto Research Center Inc.

Xerox Corporation

Annie E Zaenen

Livia Polanyi

Francine R Chen

Thorsten Brants

Lauri J Karttunen

Misty L Azara

James D Baker

Techniques for determining interactive topic-based summarization are provided. A text to be summarized is segmented. Discrete keyword, key-phrase, n-gram, sentence and other sentence constituent based summaries are generated based on statistical measures for each text segment. Interactive topic-based summaries are displayed with human sensible omitted text indicators such as alternate colors, fonts, sounds, tactile elements or other human sensible display characteristics useful in indicating omitted text. Individual and/or combinations of discrete keyword, key-phrase, n-gram, sentence, noun phrase and sentence constituent based summaries are dynamically displayed to provide an overview of topic and subtopic development within a text. A hierarchical and interactive display of texts based on the use of discrete sentence constituent based summaries which associates expansible and contractible displayed text provides contextualized access to an interactive topic-based text summary and to an original text.

Systems and methods for interactive topic-based text summarization

A method for adaptively determining the attitudinal function of a lexical item occurring in a natural language document, comprising determining a base valence of the lexical item; identifying a contextual valence shifter (CVS) wherein the lexical item is within scope of the CVS; and determining an actual valence of the lexical item by adjusting the base valence based on the CVS.

System and method for dynamically determining the function of a lexical item based on context

Techniques for determining sentence based interactive topic-based summarization are provided. A text to be summarized is segmented. Discrete keyword, key-phrase, n-gram, sentence and other sentence constituent based summaries are generated based on statistical measures for each text segment. Interactive topic-based summaries are displayed with human sensible omitted text indicators such as alternate colors, fonts, sounds, tactile elements or other human sensible display characteristics useful in indicating omitted text. Individual and/or combinations of discrete keyword, key-phrase, n-gram, sentence, noun phrase and sentence constituent based summaries are dynamically displayed to provide an overview of topic and subtopic development within a text. A hierarchical and interactive display of texts based on the use of discrete sentence constituent based summaries which associates expansible and contractible displayed text provides contextualized access to an interactive topic-based text summary and to an original text.

Systems and methods for sentence based interactive topic-based text summarization

A method for adaptively analyzing a natural language document containing at least one lexical item, said analysis to determine an attitude of an author towards an entity, comprising determining at least one actual valence for the at least one lexical item by analyzing the at least one lexical item in context, determining the attitude based on the at least one actual valence, associating the author, the entity and the attitude, and wherein the at least one lexical item encodes attitude information about the entity.

System and method for dynamically determining the attitude of an author of a natural language document

A method for adaptively determining the attitudinal function of a lexical item occurring in a natural language document, comprising determining a base valence of the lexical item; determining an actual valence of the lexical item by adjusting the base valence based on the discourse structure of the document; and wherein the actual valence denotes an attitude of an author towards an entity or event.

System and method for dynamically determining the function of a lexical item based on discourse hierarchy structure

Systems and methods for analyzing speech containing at least one lexical item, said analysis to determine an attitude of a speaker towards an entity, comprising determining at least one actual valence for the at least one lexical item by analyzing the at least one lexical item in context; determining the attitude based on the at least one actual valence; associating the speaker, the entity and the attitude; and wherein the at least one lexical item encodes attitude information about the entity.

Systems and methods for dynamically determining the attitude of a natural language speaker

Techniques for displaying interactive topic-based summarization are provided. A text to be summarized is segmented. Discrete keyword, key-phrase, n-gram, sentence and other sentence constituent based summaries are generated based on statistical measures for each text segment. Interactive topic-based summaries are displayed with human sensible omitted text indicators such as alternate colors, fonts, sounds, tactile elements or other human sensible display characteristics useful in indicating omitted text. Individual and/or combinations of discrete keyword, key-phrase, n-gram, sentence, noun phrase and sentence constituent based summaries are dynamically displayed to provide an overview of topic and subtopic development within a text. A hierarchical and interactive display of texts based on the use of discrete sentence constituent based summaries which associates expansible and contractible displayed text to provide contextualized access to an interactive topic-based text summary and to an original text.

Systems and methods for displaying interactive topic-based text summaries

A technique of using an electronic dictionary in conjunction with electronically-encoded running text that gives the user the most relevant information rather than belaboring the user with all possible information about a selected word. The technique maps the selected word from its inflected form to its citation form, analyzes the selected word in the context of neighboring and surrounding words to resolve ambiguities, and displays the information that is determined to be the most likely to be relevant. The dictionary preferably has information about multi-word combinations that include the selected word, and the context determination typically entails checking whether the selected word is part of a predefined multi-word combination.

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Redwood City, CA, United States of America

Annie E Zaenen