Patent application number | Description | Published |
20090144609 | NLP-based entity recognition and disambiguation - Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information. | 06-04-2009 |
20090150388 | NLP-based content recommender - Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims. | 06-11-2009 |
20090271179 | METHOD AND SYSTEM FOR EXTENDING KEYWORD SEARCHING TO SYNTACTICALLY AND SEMANTICALLY ANNOTATED DATA - Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface. | 10-29-2009 |
20100268600 | ENHANCED ADVERTISEMENT TARGETING - Methods, techniques, and systems for advertisement targeting are provided. Example embodiments provide an enhanced ad targeting system (“EATS”), which given one or more products, determines keywords to associate with those products and which, given one or more entities, determines related products for which ads can be targeted. In some embodiments, the EATS uses semantic analysis and relationship searching to aid in the selection of ads more relevant to a context or search query. | 10-21-2010 |
20110119243 | KEYWORD-BASED SEARCH ENGINE RESULTS USING ENHANCED QUERY STRATEGIES - Enhanced computer- and network-based methods, systems, techniques are provided for retrieving more accurate and responsive search results when searching content for a designated entity using an off-the-shelf keyword-based search engine. For example, the embodiments described herein may be used to improve search results by eliminating off-topic results when presenting queries to an existing keyword-based search engine invoked by means of an API from an intermediating application. Example embodiments provide a Keyword-Based Search Enhancement System (“KBSES”), which enables intermediating applications to obtain information more closely related to user queries by enhancing such queries, on behalf of the user, with disambiguating information when deemed necessary. Based upon a variety of rules and heuristics, which can be modified as well, the KBSES determines whether an entity name in a user's query should be enhanced with additional disambiguating information, and to what extent, to prevent the retrieval of off-topic results. | 05-19-2011 |
20110246181 | NLP-BASED SYSTEMS AND METHODS FOR PROVIDING QUOTATIONS - Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests. | 10-06-2011 |
20110282888 | CONTENT RECOMMENDATION BASED ON COLLECTIONS OF ENTITIES - Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection. | 11-17-2011 |
20120041937 | NLP-BASED SENTIMENT ANALYSIS - Methods, systems, and techniques for providing sentiment analysis and for presenting the results of such analysis Example embodiments provide a Sentiment Analysis System (“SAS”), which provides tools to enable authors, programmers, users, developers, and the like to incorporate sentiment analysis into their content, such as into their web pages, and other web blogs or textual content. In one embodiment, the SAS provides a Sentiment Analysis Engine, an SAS API, and one or more user interface tools for presenting sentiment analysis. | 02-16-2012 |
20120084292 | RECOMMENDING MOBILE DEVICE ACTIVITIES - Techniques for recommending mobile device activities, such as accessing mobile applications and/or mobile Web pages, are described. Some embodiments provide an Activity Recommendation System (“ARS”) configured to recommend relevant activities for a user to perform with a mobile device, based on context of the mobile device. In one embodiment, the ARS recommends mobile applications based content items (e.g., Web pages, images, videos) that are being currently accessed via the mobile device. The ARS may process information about mobile applications and content items to determine semantic information, such as entities and/or categories referenced or associated therewith. The ARS may then use the semantic information to determine mobile applications that have semantic information that is at least similar to that of a content item accessed via a mobile device. | 04-05-2012 |
20120109966 | CATEGORY-BASED CONTENT RECOMMENDATION - Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items (e.g., Web pages, images, videos) that are related to specified categories. In one embodiment, the CRS processes content items to determine entities referenced by the content items, and to determine categories related to the referenced entities. The determined entities and/or categories may be part of a taxonomy that is stored by the CRS. Then, in response to a received request that indicates a category, the CRS determines and provides indications of one or more content items that each have a corresponding category that matches the indicated category. In some embodiments, at least some of these techniques are employed to implement a category-based news service. | 05-03-2012 |
20120254188 | CLUSTER-BASED IDENTIFICATION OF NEWS STORIES - Methods, systems, and techniques for cluster-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend news stories about events or occurrences. In some embodiments, a news story about an event includes multiple related content items that each include an account of the event and that each reference one or more entities or categories that are represented by the CRS. In one embodiment, the CRS identifies news stories by generating clusters of related content items. Then, in response to a received query that indicates a keyterm, entity, or category, the CRS determines and provides indications of one or more news stories that are relevant to the received query. In some embodiments, at least some of these techniques are employed to implement a news story recommendation facility in an online news service. | 10-04-2012 |
20140142922 | NLP-BASED ENTITY RECOGNITION AND DISAMBIGUATION - Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information. | 05-22-2014 |
20140149110 | NLP-BASED SYSTEMS AND METHODS FOR PROVIDING QUOTATIONS - Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests. | 05-29-2014 |
20140149383 | KEYWORD-BASED SEARCH ENGINE RESULTS USING ENHANCED QUERY STRATEGIES - Enhanced computer- and network-based methods, systems, techniques are provided for retrieving more accurate and responsive search results when searching content for a designated entity using an off-the-shelf keyword-based search engine. For example, the embodiments described herein may be used to improve search results by eliminating off-topic results when presenting queries to an existing keyword-based search engine invoked by means of an API from an intermediating application. Example embodiments provide a Keyword-Based Search Enhancement System (“KBSES”), which enables intermediating applications to obtain information more closely related to user queries by enhancing such queries, on behalf of the user, with disambiguating information when deemed necessary. Based upon a variety of rules and heuristics, which can be modified as well, the KBSES determines whether an entity name in a user's query should be enhanced with additional disambiguating information, and to what extent, to prevent the retrieval of off-topic results. | 05-29-2014 |
20140181096 | ENTITY NAME DISAMBIGUATION - Systems, methods, and computer-readable storage media for disambiguating entity names by determining query terms to associate with certain entities based on, for instance, user selection of Uniform Resource Locators (URLs), are provided. In embodiments, query data is analyzed to determine which queries are most closely associated with certain entities, based on quantities of user selections associated with a particular URL and a given query, as compared to a total quantity of user selections associated with the query. Identified queries can be used to return search results, images to supplement search results, advertising, or the like that are associated with appropriate entities. | 06-26-2014 |
20140214850 | CATEGORY-BASED CONTENT RECOMMENDATION - Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items (e.g., Web pages, images, videos) that are related to specified categories. In one embodiment, the CRS processes content items to determine entities referenced by the content items, and to determine categories related to the referenced entities. The determined entities and/or categories may be part of a taxonomy that is stored by the CRS. Then, in response to a received request that indicates a category, the CRS determines and provides indications of one or more content items that each have a corresponding category that matches the indicated category. In some embodiments, at least some of these techniques are employed to implement a category-based news service. | 07-31-2014 |