Nuance Communications, Inc.

Marisa Ferrara Boston

Richard Stamford Crouch

Peter R Stubley

Ali Erdem Ozcan

Sylvain Goulet

Francis Pieraut

Techniques for question answering involve receiving, from a user, a text input expressing a question in natural language. In response to the question, a text output expressing an answer to the question may be generated. A plurality of documents comprising natural language text may be analyzed, involving mapping the question to one or more hypotheses, analyzing at least one passage of text in at least one of the documents to determine whether the passage entails at least one of the hypotheses, and in response to determining that the passage entails at least one of the hypotheses, identifying the passage as providing supporting evidence for the answer to the question. The answer and the at least one passage identified as providing supporting evidence for the answer may be presented to the user in response to the text input.

Question answering with entailment analysis

Methods and systems for indexing document passages are presented. In some embodiments, a computing device may identify a plurality of documents that comprise a plurality of passages. A passage index comprising a plurality of entries may be generated. Each entry may comprise keywords from a passage of the plurality of passages in one of the plurality of documents. Each entry may further comprise at least one annotation associated with the passage. A search query comprising at least one search keyword may be received. The passage index for each document of the plurality of documents may be analyzed using the at least one search keyword to identify at least one passage from the plurality of documents that matches the search query. In response to the query, the at least one passage may be presented.

Text indexing and passage retrieval

Techniques for question answering involve receiving, from a user, a text input expressing a question in natural language. The text input may be analyzed, including identifying in the question at least one first portion answerable from at least one structured data source, and at least one second portion answerable from at least one unstructured data source. At least one first query configured for the structured data source(s) may be constructed from the at least one first portion of the question and applied to the structured data source(s) to retrieve first answer information for the at least one first portion of the question. At least one second query configured for the unstructured data source(s) may be constructed from the at least one second portion of the question and applied to the unstructured data source(s) to retrieve second answer information for the at least one second portion of the question.

Question answering from structured and unstructured data sources

Techniques for product recommendation involve receiving, from a user, a request for recommendation of a product matching one or more characteristics specified in the request. In response to the request, a product may be identified for recommendation, at least in part by searching an ontology in which the identified product is represented as matching at least one of the characteristics specified in the request. The ontology may further include at least one link to at least one natural language product review providing supporting evidence that the identified product matches the at least one characteristic. At least a portion of the at least one natural language product review may be retrieved using the at least one link in the ontology, and presented to the user in support of a recommendation of the identified product, in response to the request.

Product recommendation with ontology-linked product review

Techniques for product recommendation involve receiving, from a user, a text input expressing a question asking for a product recommendation. In response to the question, an answer that identifies a product for recommendation to the user may be generated. A plurality of product reviews comprising natural language text evaluations of the product may be analyzed, involving identifying at least one passage of text in at least one of the product reviews as providing supporting evidence for the product in answer to the question. The answer and the at least one passage in the at least one product review identified as providing supporting evidence for the answer may be presented to the user in response to the text input.

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Saline, MI, United States of America

Marisa Ferrara Boston