Abstract: A method for automatically annotating unstructured computer content associated with computer resources with additional contextual information from structured computer data sources is provided. The method may include, automatically identifying data elements within the unstructured computer content and matching extraction templates to the data elements. The method may further include automatically extracting an entity from the data elements using the extraction templates. The method may further include querying the structured computer data sources using the extracted entity to identify a data record in the structured computer data sources matching the entity. The method may further include extracting data from the data record and generating natural language text using the extracted data. The method may further include automatically annotating the unstructured computer content with the additional contextual information by inserting the generated natural language text into the unstructured computer content.

Abstract: Generating automated conversation responses by receiving a conversation input message, determining an intent associated with the conversation input message, detecting content associated with the intent in a data stream in response to determining the intent, and generating a conversation output according to the content and the intent.

Abstract: A method provides for assistance in recognition of an entity. A set of data and associated information corresponding to a plurality of entities known to an assisted user is received, such that an instance of the set of data and associated information includes identification of a respective entity of the plurality of entities known to an assisted user. Real-time data corresponding to a first entity is received from one or more devices capturing the real-time data. The real-time data is compared to the set of data and associated information corresponding to the plurality of entities known to the user to determine whether the first entity has a known relevance to the user, and in response to determining the first entity does have a known relevance to the user, the processor provides the identity and relevance of the first entity to the user.

Abstract: A computer-implemented method for optimizing search query results is disclosed. The computer-implemented method includes receiving a first natural language query, selecting a plurality of search query patterns based on the first natural language query, assigning a weight to each search query pattern in the plurality of search query patterns, generating one or more weighted keyword queries from each search query pattern based on the weight assigned to each search query pattern and one or more keywords from the first natural language query, evaluating a relevancy of one or more search results returned by each of the one or more weighted keyword queries for the first natural language query, and iteratively altering the weight assigned to a search query pattern until an optimal number of relevant search results are returned from the search query pattern for the first natural language query.

Abstract: A method for automatically annotating an intended video with at least one personalized recap video based on previously viewed videos is provided. The method may include automatically tracking user viewership of the previously viewed videos, and in response to detecting an intention to view the intended video: automatically identifying and extracting a subset of video footage from one or more of the previously viewed videos based on the tracked user viewership and based on a determined relevancy of the subset of video footage to content in the intended video; generating the at least one personalized recap video by compiling and sorting the extracted subset of video footage from the one or more previously viewed videos into a compilation video; and annotating the intended video with the at least one personalized video by presenting the at least one personalized recap video on the intended video.

Abstract: An input question enhancement mechanism is provided for merging sub-question results in Question and Answer (QA) systems in order to answer an input question submitted from a user. A plurality of sub-questions associated with the input question is identified. Responsive to submitting the set of questions to a QA pipeline of the QA system, a set of answers and a set of passages related to the set of answers corresponding to each of the plurality of sub-questions are received. A mapping is applied to the set of passages to form a consolidated set of passages. The set of answers is then merged into the mapping so as to generate a consolidated set of answers. A factoid question response report is generated with answers from the consolidated set of answers and passages from the consolidated set of passages. The factoid question response report is then provided to the user.

Abstract: Generating a controllable panoramic image while eliminating unsuitable dynamic elements by receiving a plurality of images of a location from a user device, wherein the plurality of images includes images of a location at various times, identifying an object of one or more images of the plurality of images, wherein the object corresponds to an unsuitable condition for a database, determining a score of the one or more images of the plurality of images based at least in part on the identified object, determining a base image from the one or more images of the plurality of images, and generating a set of replacement images of the location based at least in part on respective determined scores of the one or more images of the plurality of images.

Abstract: Generating a controllable panoramic image while eliminating unsuitable dynamic elements by receiving a plurality of images of a location from a user device, wherein the plurality of images includes images of a location at various times, identifying an object of one or more images of the plurality of images, wherein the object corresponds to an unsuitable condition for a database, determining a score of the one or more images of the plurality of images based at least in part on the identified object, determining a base image from the one or more images of the plurality of images, and generating a set of replacement images of the location based at least in part on respective determined scores of the one or more images of the plurality of images.

Abstract: Generating automated conversation responses by receiving a conversation input message, determining an intent associated with the conversation input message, detecting content associated with the intent in a data stream in response to determining the intent, and generating a conversation output according to the content and the intent.

Abstract: A computer-implemented method for optimizing search query results is disclosed. The computer-implemented method includes receiving a first natural language query, selecting a plurality of search query patterns based on the first natural language query, assigning a weight to each search query pattern in the plurality of search query patterns, generating one or more weighted keyword queries from each search query pattern based on the weight assigned to each search query pattern and one or more keywords from the first natural language query, evaluating a relevancy of one or more search results returned by each of the one or more weighted keyword queries for the first natural language query, and iteratively altering the weight assigned to a search query pattern until an optimal number of relevant search results are returned from the search query pattern for the first natural language query.

Abstract: A system, method, and computer program product for determining statement attributions. The system includes at least one processing component, at least one memory component, a feature extractor, a model generator, a model database, and an attribution selector. The method includes receiving a statement, generating at least one pattern that defines a grammatical feature of the statement, and generating a statement model from the at least one pattern. The method also includes determining a similarity value for the statement model and at least one reference model.

Abstract: A method provides for assistance in recognition of an entity. A set of data and associated information corresponding to a plurality of entities known to an assisted user is received, such that an instance of the set of data and associated information includes identification of a respective entity of the plurality of entities known to an assisted user. Real-time data corresponding to a first entity is received from one or more devices capturing the real-time data. The real-time data is compared to the set of data and associated information corresponding to the plurality of entities known to the user to determine whether the first entity has a known relevance to the user, and in response to determining the first entity does have a known relevance to the user, the processor provides the identity and relevance of the first entity to the user.

Abstract: A computer-implemented method includes generating from a corpus a knowledge graph comprising a plurality of nodes interconnected by a plurality of edges. Each node of the plurality of nodes represents an entity extracted from the corpus. Each edge of the plurality of edges represents a relationship between corresponding entities extracted from the corpus. The knowledge graph includes a plurality of source passages extracted from the corpus from which the plurality of edges was generated. A generative language model is trained, for each edge of the plurality of edges, to associate two or more related entities by utilizing the knowledge graph. Using the trained generative language model, one or more passages representing the edge of the knowledge graph are generated for each edge of the knowledge graph.

Abstract: Methods, systems and computer program products for facilitating real time conversations based on topic determination are provided. Aspects include receiving one or more user topic profiles. Aspects also include receiving an audio recording of a conversation obtained from one or more audio sensors. Aspects also include converting the audio recording of the conversation to text. Aspects also include determining a topic of the conversation by applying a topic model to the text. Aspects also include determining one or more potentially interested users based on the topic of the conversation and the one or more user topic profiles. Aspects also include notifying the one or more potentially interested users that the conversation is occurring.

Abstract: An input question enhancement mechanism is provided for merging sub-question results in Question and Answer (QA) systems in order to answer an input question submitted from a user. A plurality of sub-questions associated with the input question is identified. Responsive to submitting the set of questions to a QA pipeline of the QA system, a set of answers and a set of passages related to the set of answers corresponding to each of the plurality of sub-questions are received. A mapping is applied to the set of passages to form a consolidated set of passages. The set of answers is then merged into the mapping so as to generate a consolidated set of answers. A factoid question response report is generated with answers from the consolidated set of answers and passages from the consolidated set of passages. The factoid question response report is then provided to the user.

Abstract: An approach is provided in which the approach receives a media stream comprising an audio stream and a video stream. The audio stream includes a set of audio tones inserted at a set of predetermined frame intervals, and the video stream includes a set of predetermined colors inserted into a set of predetermined pixel locations at the predetermined frame intervals. The approach determines that an audio frame in the audio stream at which the set of audio tones are inserted is misaligned in time with a video frame in the video stream at which the set of predetermined colors are included in the set of predetermined pixel locations. The approach synchronizes the audio stream with the video stream in response to the determination and aligns in time the audio frame with the video frame at one of the predetermined frame intervals.

Abstract: An approach is provided in which the approach receives a media stream comprising an audio stream and a video stream. The audio stream includes a set of audio tones inserted at a set of predetermined frame intervals, and the video stream includes a set of predetermined colors inserted into a set of predetermined pixel locations at the predetermined frame intervals. The approach determines that an audio frame in the audio stream at which the set of audio tones are inserted is misaligned in time with a video frame in the video stream at which the set of predetermined colors are included in the set of predetermined pixel locations. The approach synchronizes the audio stream with the video stream in response to the determination and aligns in time the audio frame with the video frame at one of the predetermined frame intervals.

Abstract: A computer-implemented method includes receiving a plurality of question, answer, passage (QAP) triples. Each of the plurality of QAP triples includes a question, an answer to the question and a passage containing the answer to the question. The received plurality of QAP triples is parsed to generate two or more patterns. The generated patterns are merged together to identify clusters of semantically related patterns.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for determining topic specific reliability for a question answering system. A non-limiting example of the computer-implemented method includes receiving a topic specific input query by the question answering system. The method further includes detecting a source that provides a reference containing the ground truth answers to the ground truth questions. The method further includes traversing sources detect similar references in other sources and assigning reliability scores for each source based upon ground truth answers in the other sources. The method further includes providing a ranked list of answers based upon the reliability of each source upon for each answer.

Abstract: A method, system, and computer program product to verify components of a statement and suggest substitute components using a factoid question answer system. The method may include receiving an input statement, where the input statement comprises a plurality of natural language words. The method may also include determining one or more replacement candidates for the input statement. The method may also include generating one or more candidate answers for each replacement candidate of the one or more replacement candidates. The method may also include mapping, as a replacement candidate—candidate answer mapping, each candidate answer from the one or more candidate answers to its corresponding replacement candidate. The method may also include determining a replacement score for each replacement candidate—candidate answer mapping. The method may also include transmitting an output including one or more suggested replacements and the replacement score to a user interface.