Microsoft Technology Licensing, LLC

Simon H Corston-Oliver

William B Dolan

Hisami Suzuki

Michael Gamon

Eric K Ringger

Robert C Moore

Sharad Mathur

Anthony Aue

Lucretia Henrica Vanderwende

Martine Smets

Zhu Zhang

The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.

Method and apparatus for processing sentiment-bearing text

System for processing sentiment-bearing text

A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

System for improving the performance of information retrieval-type tasks by identifying the relations of constituents

The present invention is a sentence realization system that processes an abstract linguistic representation (ALR) of a sentence into a structure that can be fully realizable. The system includes a tree conversion component that receives the ALR and generates a basic syntax tree from the ALR. A global movement component then receives the basic syntax tree and hierarchically orders child nodes in that syntax tree relative to ancestor nodes. An intra-constituent ordering component then establishes a linear order among the nodes such that the syntax tree is fully ordered. A surface cleanup component receives the fully ordered tree and performs a number of realization operations to generate surface realizations for constituents that are still represented in an abstract way in the fully ordered syntax tree.

Sentence realization model for a natural language generation system

A text processor processes text in a message. The text processor generates a plurality of compressed forms of components of the message. The processor performs a linguistic analysis on the body of text to obtain a linguistic output indicative of linguistic components of the body of text. The processor then generates the plurality of compressed forms that can be used to compress the body of text. The plurality of compressed forms are generated based on the linguistic output. The invention can be implemented as a method of generating the compressed forms and as an apparatus.

Linguistically intelligent text compression

The present invention is a tree ordering component within a sentence realization system which receives an unordered syntax tree and generates a ranked list of alternative ordered syntax trees from the unordered syntax tree. The present invention also includes statistical models of constituent structure employed by the tree ordering component in scoring the alternative ordered trees.

Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system

A method is implemented in a computerized system that provides access to a search tool capable of searching at least one stored record. The method includes determining whether a search query is a logical query by comparing each search term to a set of logical operators. If a search term is in the set of logical operators it is removed from the search query to produce a modified search query. The modified search query is then passed to a search engine.

Method for converting queries with logical operators into free text queries

A method of computerized searching receives parameters of a search query from a user and adds a restriction to the parameters to require that at least two of the search terms of the search query appear in a same sentence in a document. A representation of a set of documents is then searched based on the parameters of the search query and the added restriction. Documents that meet the search parameters and the added restriction are thus identified.

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Seattle, WA, United States of America

Simon H Corston-Oliver