Cross-document intelligent authoring and processing

A computer system for labeling chunks in different types of documents, the computer system comprising a storage medium for storing computer program instructions;

• and a processor system having access to the storage medium, wherein executing the computer program instructions causes the processor system to:
• receive a plurality of documents containing text, the documents uploaded according to an original file organization;
• group the plurality of documents into sets of different types of documents;
• create a second file organization based on the grouping into sets, wherein the second file organization is different than the original file organization;
• for multiple sets of documents, process the documents in the sets using information from the multiple sets and from both the original file organization and the second file organization, the processing further comprising:
• performing linguistic analysis of the text of the documents;
• identifying structures and patterns in the text within documents and in the text across documents, based on the linguistic analysis;
• extracting semantic role labels from the text of the documents, based on the identified structures and patterns;
• and
• annotating chunks of text from the documents with the semantic role labels;
• wherein the processing is automatically adjusted for different sets of documents based on the type of documents in that set.

A non-transitory computer-readable storage medium storing executable computer program instructions for labeling chunks in different types of documents, the instructions executable by a computer system and causing the computer system to:

• receive a plurality of documents containing text, the documents uploaded according to an original file organization;
• group the plurality of documents into sets of different types of documents;
• create a second file organization based on the grouping into sets, wherein the second file organization is different than the original file organization;
• for multiple sets of documents, process the documents in the sets using information from the multiple sets and from both the original file organization and the second file organization, the processing further comprising:
• performing linguistic analysis of the text of the documents;
• identifying structures and patterns in the text within documents and in the text across documents, based on the linguistic analysis;
• extracting semantic role labels from the text of the documents, based on the identified structures and patterns;
• and
• annotating chunks of text from the documents with the semantic role labels;
• wherein the processing is automatically adjusted for different sets of documents based on the type of documents in that set.