Parsing hierarchical lists and outlines

TL;DR: In this article, a system and method for extracting information from text which can be performed without prior knowledge as to whether the text includes a list is described, where parser rules are applied to a sentence spanning lines of text to identify a set of candidate list items in the sentence.

TL;DR: In this paper, a system for generating soft copy (digital) versions of hard copy documents using images of the hard-copy documents is presented. But the system is limited to the generation of soft copy documents.

TL;DR: In this paper, a computer-implemented technique is described that receives captured stroke information when a user enters a handwritten note using an input capture device, and analyzes the captured strokes to produce output analysis information.

TL;DR: In this article, a system, method and computer program product for use in digital note taking with handwriting input to a computing device are provided, where a user provides input by applying pressure to or gesturing above the input surface using a finger or an instrument.

TL;DR: A system is presented, which automatically recognizes lists and hierarchical outlines in handwritten notes, and then computes the correct structure, which provides the foundation for new user interfaces and facilitates the importation of handwritten notes into conventional editing tools.

TL;DR: This work proposes to use a formalism, based on Probabilistic Feature Grammars that exhibit some interesting features that allows handling ambiguities and to taking into account contextual information such as spatial relations between objects in the page.

TL;DR: Geometric Decision Trees for Optical Character Recognition (Extended Abstract”) George N. Sazaklist Esther M. Arkin and Joseph S. Mitchell.

TL;DR: In this paper, a hand-held user unit, which can be part of a network-based information management system, allows for the writing down and recording of handwritten information, is described.