557 results about "Headword" patented technology

Methods and systems provide a “chart view” for a markup language referred to as Reusable Data Markup Language (“RDML”). Generally, a chart view comprises the components necessary for automatically manipulating and displaying a graphical display of numerical data contained in RDML markup documents. RDML is a markup language, such as the Hypertext Markup Language (“HTML”) or the Extensible Markup Language (“XML”). Generally, RDML facilitates the browsing and manipulation of numbers, as opposed to text as in HTML, and does so by requiring attributes describing the meaning of the numbers to be attached to the numbers. Upon receiving RDML markup documents, the chart view transforms, formats, manipulates and displays data stored in the markup documents using the attributes describing the meaning of the data. The chart view uses the attributes of the numbers to, for example, facilitate the simultaneous display of different series of numbers of different types on a single chart and automatically display appropriate axis labels, axis titles, chart titles, number precision, etc. A chart view may be a component of a data viewer used to retrieve, manipulate, and view documents in the RDML format.

The invention relates to a method and a computer system for enhanced part-of-speech (POS-) tagging as well as grammatically disambiguating a phrase. A phrase is usually a short multiword expression that may be ambiguous. By introducing grammatical constraints the invention supports POS-tagging as well as grammatically disambiguating the phrase. According to an identifier for the phrase, the phrase is supplemented with artificial context information. The supplemented phrase is then POS-tagged or grammatically disambiguated. Important applications are POS-tagging, Automatic Term Encoding, Headword Detection and Information Retrieval.

A system, method, and computer-program product is provided for answering a natural language query in an automated manner. The answer is drawn from a body of textual information. Concepts in the body of textual information in a domain are expressed as a set of semantic headers. The semantic headers represent formalizations of select concepts in the information domain, and are created on the basis of expected queries. Moreover, queries are reduced to a canonical form. The answering process comprises the step of matching the formalized query, or translation formula, to one or more semantic headers. The pieces of text which correspond to those semantic headers are returned to the user as answers. The generality of a translation formula can be controlled. Steps can be taken to make the translation formula more general or less general. A user can clarify a translation formula if necessary. If the user provides a term that is not immediately recognized, then the user will be presented with a number of options. Each option represents one way in which the term in question can be clarified. The invention can then incorporate the new term into the translation formula and attempt to match one or more appropriate semantic headers. In addition, the domain can be expanded by parties other than the provider of the domain.

Methods and systems provide a “chart view” for a markup language referred to as Reusable Data Markup Language (“RDML”). Generally, a chart view comprises the components necessary for automatically manipulating and displaying a graphical display of numerical data contained in RDML markup documents. RDML is a markup language, such as the Hypertext Markup Language (“HTML”) or the Extensible Markup Language (“XML”). Generally, RDML facilitates the browsing and manipulation of numbers, as opposed to text as in HTML, and does so by requiring attributes describing the meaning of the numbers to be attached to the numbers. Upon receiving RDML markup documents, the chart view transforms, formats, manipulates and displays data stored in the markup documents using the attributes describing the meaning of the data. The chart view uses the attributes of the numbers to, for example, facilitate the simultaneous display of different series of numbers of different types on a single chart and automatically display appropriate axis labels, axis titles, chart titles, number precision, etc. A chart view may be a component of a data viewer used to retrieve, manipulate, and view documents in the RDML format.

Meta-content analysis and annotation upon the body of email documents, and other electronic documents, and to create a displayable index of these instances of meta-content, which is sorted and annotated by type are provided. In addition, the electronic document is enhanced by providing links for the semantic foci to external documents containing related information. An electronic document adapted for delivery to one or more recipients, the electronic document including a header and a body, is processed by:performing meta-content extraction of semantic foci within said header and said body, the semantic foci comprising a plurality of type of information including one or more of email addresses, URLs, dates, currency values, organization names, names of people, names of places, and phone numbers;creating a meta-content index the document based upon said extracted semantic foci;arranging the meta-index according to said plurality of types;combining said meta-content index with said header and said body to provide an enhanced document; andsending said enhanced document to said one or more recipients via a communication network.The process includes converting the electronic mail document to a markup language format, and wherein said meta-content index comprises one or more objects expressed in said markup language adapted for presentation with body in said enhanced document.

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.

A database search system that retrieves multimedia information in a flexible, user friendly system. The search system uses a multimedia database consisting of text, picture, audio and animated data. That database is searched through multiple graphical and textual entry paths. Those entry paths include an idea search, a title finder search, a topic tree search, a picture explorer search, a history timeline search, a world atlas search, a researcher's assistant search, and a feature articles search.

A customer for music distributed over the internet may select a composition from a menu of written identifiers (such as the song title and singer or group) and then confirm that the composition is indeed the one desired by listening to a corrupted version of the composition. If the customer has forgotten the song title or the singer or other words that provide the identifier, he or she may hum or otherwise vocalize a few bars of the desired composition, or pick the desired composition out on a simulated keyboard. A music-recognition system then locates candidates for the selected composition and displays identifiers for these candidates to the customer.

A database search system that retrieves multimedia information in a flexible, user friendly system. The search system uses a multimedia database consisting of text, picture, audio and animated data. That database is searched through multiple graphical and textual entry paths. Those entry paths include an idea search, a title finder search, a topic tree search, a picture explorer search, a history timeline search, a world atlas search, a researcher's assistant search, and a feature articles search.

The present invention is directed at a system and process for allowing a user to treat email addresses as objects. This allows easy manipulation of the email addresses, such as allowing them to be added to a contact list, copied to the computer's clipboard, or double-clicked to open the related contact information for that email address' sender. Email addresses are treated as objects in the message preview pane and full message windows of both incoming and outgoing email messages. A small icon is added to the text of each address. In a preferred embodiment, the icons will vary depending on the pedigree of the address. The invention is not limited to single addresses. Rather, an entry denoting a mailing list could also be treated as an object and a unique icon could be employed to indicate the nature of the entry. For outgoing messages, the pedigree of the address or list is determined by monitoring where the user obtained the address. For incoming messages, the message header is parsed and searched to find addresses that match the receiving user's address book. If no match is found, a generic address icon is added before the text of the address, while the system checks the email header against other address sources such as server lists. Once the address is marked with an appropriate icon the user can manipulate the address in various ways allowing the user to readily edit or add email addresses to their contact list. Additionally, the invention may include contextual menus to assist the user in this manipulation.

The invention discloses a searching method and searching equipment. The searching method comprises the following steps: receiving a search keyword input by a user, acquiring at least one search document relating to the search keyword based on the search keyword, and determining the semantic vector of the search keyword; according to the semantic vector of the search keyword and the semantic vector of each search document, calculating the semantic correlation between each search document and the search keyword; according to the semantic correlation, sequencing the search documents and outputting the search documents to the user according to the sequencing result. The semantic vector of the document of a search engine is acquired according to the semantic vector of a document tile, the semantic vector of a document identifier and the semantic vector of a document category, so that the semantic information of the document can be expressed accurately, the precision of the semantic correlation between the document acquired by calculation and the search keyword is improved, the search precision of the search engine is improved, and the user experience on the search engine is improved.

The present invention includes a morpheme extracting unit 420 configured to extract, based on a character string corresponding to input information, at least one morpheme constituting a minimum unit of the character string, as first morpheme information, a topic search unit 340 configured to compare the first morpheme information extracted at the morpheme extracting unit 420 with topic titles, and to search a topic title corresponding to the first morpheme information from among the topic titles, and a reply retrieval unit 350 configured to retrieve, based on the topic title searched at a topic identification information search unit 320, a reply sentence associated with the topic title.

The invention discloses a keyword calculation method and a device based on user browse and search actions. The keyword calculation method includes the following steps: with regard to webpage data with other user search word skips in user browse action data, a first kind of user keywords is generated according to other user search words; with regard to webpage data with no other user search word skips in the user browse action data, a second kind of the user keywords is generated according to a title, a text and meta information in the webpage data; with regard to a search word which is directly input in the user browse action data, collaborative filtering technology is combined to conduct keyword recommendation to generate a third kind of the user keywords; the three kinds of the user keywords are merged and blended to obtain uniform user keywords; the keywords in the uniform user keywords are sequenced, and a part of or all keywords are selected to serve as keywords of an reaction to all aspects of information of a user. According to the keyword calculation method and the device based on the user browse and search actions, the cost of calculating the user keywords by a system is enabled to be small, and user actions are covered comprehensively.

A method, medium, and system classifying a music theme for music by using a corresponding music title, by generating a theme class vector in association with the music theme, generating a music title class vector in association with the music title, calculating similarity between the theme class vector and the music title class vector, and assigning a theme of the music title based on the similarity.

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.

Media content is recommended based on suitability for a designated activity. A vector engine is trained using a plurality of lists, each of the lists containing metadata associated with a plurality of media objects. The vector engine includes a neural network trained with corpus data including (i) the plurality of lists (ii) a plurality of titles, each one of the titles associated with one of the lists, and (iii) the metadata associated with the plurality of media objects. Training the vector engine involves initializing, using the vector engine, a plurality of feature vectors representing each of the lists, each of the media objects, and each of a plurality of words in the titles of the lists. The training then further involves nudging, using the vector engine, the feature vectors based on a plurality of co-occurrences of the lists, the media objects, the words in the titles of the lists, or a combination thereof. A feature vector corresponding to an activity is identified among the feature vectors. At least one of the media objects, (ii) at least one of lists or (iii) a combination thereof suitable for the activity is selected based on cosine similarities between the feature vector corresponding to the activity and others of the feature vectors.

A grammar generation process generates a speech recognition grammar for interpreting search queries or a domain of items. The grammar comprises both single-term and multi-term utterances derived from the texts of the items (preferably the item titles). The utterances are derived in-part by expanding phrases selected from the item text into their individual terms plus all forward combinations of such terms. The forward combinations and individual terms that are deemed not useful to the search process are filtered out of the grammar. The process tends to produce a grammar containing the utterances that are most likely to occur within voice queries for the items, while maintaining a grammar size that is sufficiently small to provide reliable speech recognition.

Topic-based language models for an application search engine enable a user to search for an application based on the application's function rather than title. To enable a search based on function, information is gathered and processed, including application names, descriptions and external information. Processing the information includes filtering the information, generating a topic model and supplementing the topic model with additional information.

A method, system, and computer program product for creating educational worksheets is provided. In one embodiment, a worksheet creation wizard receives worksheet selection criteria from a teacher. The worksheet selection criteria may include, for example, grade level, textbook title, and number of questions of a specific type and difficulty level. Question type may include multiple choice, true / false, and short answer. Once the selection criteria have been entered, the worksheet creation wizard retrieves appropriate questions matching the selection criteria from a question database and creates a worksheet. The worksheet creation wizard may also allow a teacher or administrator to enter questions into the question database as well as allows students to take practice exams utilizing questions from the question database and obtain instantaneous scoring results as well as possible explanations of answers.

A system for searching an object environment includes harvesting and indexing applications to create a search database and one or more indexes into the database. A scoring application determines the relevance of the objects, and a querying application locates objects in the database according to a search term. One or more of the indexes may be implemented by a hash table or other suitable data structure, where algorithms provide for adding objects to the indexes and searching for objects in the indexes. A ranking scheme sorts searchable items according to an estimate of the frequency that the items will be used in the future. Multiple indexes enable a combined prefix title and full-text content search of the database, accessible from a single search interface.

A light weight subject indexing system including a candidate headword identification system for identifying candidate words in the subject line of a document which are not listed in a user modified common word list, a lexical context system for creating lexical context for an identified candidate headword, a ranking system for ranking all the candidate headwords identified for the subject lines of a document or message collection, and selecting among the ranked headwords for inclusion in an index based on that ranking, and an index creation system for listing candidate headwords selected by the ranking system.

A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of topics and subtopics is carried out for each parsed component. If a match is found, then the parsed component is taken as a chosen topic / subtopic label. If no match is found, then the parsed component is formatted as a new entry in the knowledge map. A translation function for translating topics and subtopics from an original language into one or more target languages is enabled by user request or indicated user preference for display on a generated visual map of knowledge information.

A charting metalanguage for uniquely defining a chart to be generated by a computer. The charting metalanguage comprises a plurality of keywords and subkeywords that define the components of the chart. A keyword is preceded by an indicator such as a slash symbol and describes a major characteristic of the chart such as the type of chart, the type of font to be used or the title of the chart. An optional subkeyword follows the keyword. A text and / or data string may follow the subkeyword and / or be positioned between the keyword and the subkeyword.

The invention discloses an intelligent chatting robot system which comprises a communication platform, a knowledge base, an information analysis module and a judgment and feedback module. The information analysis module further comprises a splitting unit, a headword lexical library, a lexical analysis unit and a semantic sorting unit. The judgment and feedback module further comprises a language library and a judgment and feedback unit. Primary simulation intelligence is given to a computer by simulating the knowing-memory-deducing-judgment-feedback thinking process of the human brain through the system, and the computer can give accurate responses according to various kinds of language logic.

The invention relates to the technical field of computers, and provides a resume data information analyzing processing method, device and equipment, and a storage medium. The resume data information analyzing processing method comprises the following steps: receiving a resume file uploaded by a user; performing format conversion on the resume file according to a preset text format to obtain a resume text corresponding to the resume file; performing label extraction on the resume text to obtain title labels; matching the title labels with keywords according to the preset keywords, and determining the successfully matched title labels as effective keywords; and for each effective keyword, according to a data analyzing mode corresponding to the effective keywords, analyzing the resume text toobtain data information corresponding to each effective keyword in the resume text. The resume data information analyzing processing method provided by the invention realizes the complete extractionof the resume text data information, and effectively improves the analyzing accuracy rate of the resume text.

The invention provides a numerical map generation method, comprising the following steps of: obtaining a searching request; determining a headword of the searching request; judging whether the headword is a widely needed word; and dynamically generating the numerical map according to the headword judged as the widely needed word. The invention further provides a numerical map generation device. By the manner provided above, the technical scheme provided by the invention can analyze the searching request input by the users so as to judge whether the headword in the searching request is a widely needed word or a specially needed word, and can select a dynamic map representation mode when the headword is judged as the widely needed word so as to reduce the load of the server, thereby solving the technical problem that a network map in the prior art directly draws the search results to a map at the same time without making any judgment on the searching request, and further causes heavy load on the server.