Abstract: Methods and systems for compact presentation of automatically summarized information according to rule-based graphically represented information. One of the methods includes obtaining, via a user accessible user interface, a request for uploaded textual information to be analyzed. Ontology information is accessed based on an indicated type associated with the textual information, and ontology information for the type. The ontology information specifies nodes, with the nodes causing the server system to extract values for textual expressions defined by the nodes, and relational information between the nodes, with the relational information indicating links between textual expressions. The textual information is parsed based on the ontology information. The parsing causes traversal of the nodes and extraction of values from associated textual expressions based on the textual information. Values are obtained based on the parsing, with the values being utilized as summary information.

Abstract: In one embodiment, a method includes accessing posts of an online social network, each post being associated with a first entity of the online social network, classifying, based on content and metadata associated with each post, one or more of the posts as being relevant to the first entity, extracting a set of one or more n-grams from the content of the posts classified as being relevant to the first entity, filtering the set of n-grams to remove one or more of the extracted n-grams from the set of n-grams, calculating a quality score for each n-gram in the filtered set of n-grams, generating a snippet-module including one or more of the extracted n-grams from the filtered set of n-grams having quality-scores greater than a threshold quality-score, and sending, to a client system of a first user of the online social network, the snippet-module for display to the user.

Abstract: Methods and systems for compact presentation of automatically summarized information according to rule-based graphically represented information. One of the methods includes obtaining, via a user accessible user interface, a request for uploaded textual information to be analyzed. Ontology information is accessed based on an indicated type associated with the textual information, and ontology information for the type. The ontology information specifies nodes, with the nodes causing the server system to extract values for textual expressions defined by the nodes, and relational information between the nodes, with the relational information indicating links between textual expressions. The textual information is parsed based on the ontology information. The parsing causes traversal of the nodes and extraction of values from associated textual expressions based on the textual information. Values are obtained based on the parsing, with the values being utilized as summary information.

Abstract: Computer-implemented systems and methods for processing a document package are disclosed. A method for processing a document may include analyzing one or more documents to determine potential signer information, determining on such information, a respective set of signers, and sending electronic notifications to the signers. The notifications may include selectable links configured to provide access to the electronic documents associated with the signers. Upon selection of a link, an interactive user interface may be provided including access to the electronic documents. Signature data from a signer may be received via the interactive user interface. Based on the signature data, the system may determine whether completion criteria associated with the one or more documents is satisfied; in response to the completion criteria being satisfied, further electronic notifications to at least the signers may be sent out.

Abstract: In one embodiment, a method includes accessing posts of an online social network, each post being associated with a first entity of the online social network, classifying, based on content and metadata associated with each post, one or more of the posts as being relevant to the first entity, extracting a set of one or more n-grams from the content of the posts classified as being relevant to the first entity, filtering the set of n-grams to remove one or more of the extracted n-grams from the set of n-grams, calculating a quality score for each n-gram in the filtered set of n-grams, generating a snippet-module including one or more of the extracted n-grams from the filtered set of n-grams having quality-scores greater than a threshold quality-score, and sending, to a client system of a first user of the online social network, the snippet-module for display to the user.

Abstract: The present invention provides a method for extracting relationships between words in textual data. Initially, a classifier is trained to identify text data having a specific format, such as situation-response or cause-effect, using a training corpus. The classifier receives input identifying components of the text data having the specified format and then extracts features from the text data having the specified format, such as the part of speech for words in the text data, the semantic role of words within the text data and sentence structure. These extracted features are then applied to text data to identify components of the text data which have the specified format. Rules are then extracted from the text data having the specified format.