Abstract: A computer-implemented method for knowledge based ontology editing, is provided. The method receives a language instance to update a knowledge base, using a computer. The method semantically parses the language instance to detect an ontology for editing. The method maps one or more nodes for the ontology for editing based on an ontology database and the knowledge base. The method determines whether the mapped nodes are defined or undefined within the knowledge base. The method calculates a first confidence score based on a number of the defined and undefined mapped nodes. Furthermore, the method updates the knowledge base when the first confidence score meets a pre-defined threshold.

Abstract: A computer-implemented method for knowledge based ontology editing, is provided. The method receives a language instance to update a knowledge base, using a computer. The method semantically parses the language instance to detect an ontology for editing. The method maps one or more nodes for the ontology for editing based on an ontology database and the knowledge base. The method determines whether the mapped nodes are defined or undefined within the knowledge base. The method calculates a first confidence score based on a number of the defined and undefined mapped nodes. Furthermore, the method updates the knowledge base when the first confidence score meets a pre-defined threshold.

Abstract: Generating a natural language dialog by finding missing semantic information in a user question by comparing it to the closest question available in a question corpus. Incremental improved question precision is targeted during each round of dialog.

Abstract: A method, an apparatus and an article of manufacture for mapping authors across multiple forums. The method includes creating a database that contains publicly observable information pertaining to multiple authors from multiple forums, generating a mapping between at least a first one of the authors from one of the forums and at least a second one of the authors from another of the forums in the database based on a comparison of structured information, unstructured user generated content information and network information, and generating a score of mapping between the first and the second authors by considering a weighted sum of the number of times the structured information, the unstructured user generated content information and the network information match between the first and the second authors.

Abstract: A computer-implemented method for knowledge based ontology editing, is provided. The method receives a language instance to update a knowledge base, using a computer. The method semantically parses the language instance to detect an ontology for editing. The method maps one or more nodes for the ontology for editing based on an ontology database and the knowledge base. The method determines whether the mapped nodes are defined or undefined within the knowledge base. The method calculates a first confidence score based on a number of the defined and undefined mapped nodes. Furthermore, the method updates the knowledge base when the first confidence score meets a pre-defined threshold.

Abstract: Methods and arrangements for filtering audio in a noisy environment involving receiving audio input at a user's location, using a plurality of audio input devices in proximity with a user. The audio is then separated into sources in response to a user selection. After the selection is made, the amplitudes of the audio sources are adjusted based on the selection. Other variants and embodiments are broadly contemplated herein.

Abstract: Software that extracts contextually relevant terms from a text sample (or corpus) by performing the following steps: (i) identifying a first term from a corpus, based, at least in part, on a set of initial contextual characteristic(s), where each initial contextual characteristic of the set of initial contextual characteristic(s) relates to the contextual use of at least one category related term of a set of category related term(s) in the corpus; (ii) adding the first term to the set of category related term(s), thereby creating a revised set of category related term(s) and a set of first term contextual characteristic(s), where each first term contextual characteristic of the set of first term contextual characteristic(s) relates to the contextual use of the first term in the corpus; and (iii) identifying a second term from the corpus, based, at least in part, on the set of first term contextual characteristic(s).

Abstract: Software that extracts contextually relevant terms from a text sample (or corpus) by performing the following steps: (i) identifying a first term from a corpus, based, at least in part, on a set of initial contextual characteristic(s), where each initial contextual characteristic of the set of initial contextual characteristic(s) relates to the contextual use of at least one category related term of a set of category related term(s) in the corpus; (ii) adding the first term to the set of category related term(s), thereby creating a revised set of category related term(s) and a set of first term contextual characteristic(s), where each first term contextual characteristic of the set of first term contextual characteristic(s) relates to the contextual use of the first term in the corpus; and (iii) identifying a second term from the corpus, based, at least in part, on the set of first term contextual characteristic(s).

Abstract: Techniques, systems, and articles of manufacture for determining the current logical state of a social media communication thread. A method includes computing an initial probability for applicability of each of multiple logical states for a first entry in a social media communication thread, wherein each logical state corresponds to a stage of interaction between customers of an enterprise and/or agents of the enterprise based on features derived from content of entries in the communication thread, network structure of entries, and identity of authors of entries, computing a transition probability between each subsequent consecutive entry in the communication thread, wherein the transition probability indicates the probability of moving from one logical state to another, and determining the current logical state of the communication thread based on the computed initial probability for the first entry and the computed transition probability between each subsequent entry in the communication thread.

Abstract: Receiving a search request by a computer. Parsing text-based search terms from the search request. Searching documents in a document index based on the text-based search terms. Transmitting to a user device a list of documents identified by the search. Receiving, from the user device, a selection of one of the identified documents. Parsing executable-based search terms from the search request. Identifying content defining an executable in the selected document. Forming a display element from the executable. Identifying and associating variable names and variable values in the search query with variable names and variable values in the executable. Forming a statement to solve from the search query. Solving the statement to solve. Substituting the variable values and the statement solution for corresponding variable names in the display element. Embedding the display element in the selected document, and transmitting the selected document with the embedded display element to the user device.

Abstract: Receiving a search request by a computer. Parsing text-based search terms from the search request. Searching documents in a document index based on the text-based search terms. Transmitting to a user device a list of documents identified by the search. Receiving, from the user device, a selection of one of the identified documents. Parsing executable-based search terms from the search request. Identifying content defining an executable in the selected document. Forming a display element from the executable. Identifying and associating variable names and variable values in the search query with variable names and variable values in the executable. Forming a statement to solve from the search query. Solving the statement to solve. Substituting the variable values and the statement solution for corresponding variable names in the display element. Embedding the display element in the selected document, and transmitting the selected document with the embedded display element to the user device.

Abstract: Techniques, systems, and articles of manufacture for utilizing dependency among internet search results. A method includes associating a user search query with a search task, identifying multiple information documents that correspond to the search task, and generating a recommended sequence of the multiple information documents to present to the user in response to the user search query, wherein the recommended sequence is based on dependency information associated with the multiple information documents.

Abstract: Methods and arrangements for executing an audio search. A search query in a first language variety is accepted, the search query being in a form of at least one of: text and audio. A corpus of material in the first language variety is accessed, and first language variety baseforms are obtained via data obtained from a second language variety. A first language variety phonetic model is built, and the first language variety phonetic model and the second language variety are employed in executing an audio search based on the accepted search query.

Abstract: Methods and arrangements for executing an audio search. A search query in a first language variety is accepted, the search query being in a form of at least one of: text and audio. A corpus of material in the first language variety is accessed, and first language variety baseforms are obtained via data obtained from a second language variety. A first language variety phonetic model is built, and the first language variety phonetic model and the second language variety are employed in executing an audio search based on the accepted search query.

Abstract: Techniques, systems, and articles of manufacture for determining the current logical state of a social media communication thread. A method includes computing an initial probability for applicability of each of multiple logical states for a first entry in a social media communication thread, wherein each logical state corresponds to a stage of interaction between customers of an enterprise and/or agents of the enterprise based on features derived from content of entries in the communication thread, network structure of entries, and identity of authors of entries, computing a transition probability between each subsequent consecutive entry in the communication thread, wherein the transition probability indicates the probability of moving from one logical state to another, and determining the current logical state of the communication thread based on the computed initial probability for the first entry and the computed transition probability between each subsequent entry in the communication thread.

Abstract: Methods and arrangements for effecting a cloud representation of audio content. An audio cloud is created and rendered, and user interaction with at least a clip portion of the audio cloud is afforded.

Abstract: Methods and arrangements for effecting a cloud representation of audio content. An audio cloud is created and rendered, and user interaction with at least a clip portion of the audio cloud is afforded.

Abstract: A method, an apparatus and an article of manufacture for mapping authors across multiple forums. The method includes creating a database that contains publicly observable information pertaining to multiple authors from multiple forums, generating a mapping between at least a first one of the authors from one of the forums and at least a second one of the authors from another of the forums in the database based on a comparison of structured information, unstructured user generated content information and network information, and generating a score of mapping between the first and the second authors by considering a weighted sum of the number of times the structured information, the unstructured user generated content information and the network information match between the first and the second authors.

Abstract: Methods and arrangements for developing knowledge bases from social media. A question is obtained from social media. Social media are consulted, and a legitimacy of the question is ascertained. All the answers to the question are harvested from the social media including the rich media that is associated with these answers, and the question is filtered out if determined not to be legitimate.

Abstract: Methods and arrangements for developing knowledge bases from social media. A question is obtained from social media. Social media are consulted, and a legitimacy of the question is ascertained. All the answers to the question are harvested from the social media including the rich media that is associated with these answers, and the question is filtered out if determined not to be legitimate.