69 results about "Content word" patented technology

A method for determining a logical structure of a document. At least one candidate table of contents page of the document is determined, wherein the table of contents page comprises a plurality of table of contents words. The document comprises at least one table of contents page and a plurality of body pages, wherein at least one body page comprises a plurality of body words. A dictionary is built for the candidate table of contents page, the dictionary comprising at least one table of contents word. One body page is analyzed for at least one text match between the plurality of body words and the table of contents words of the dictionary. Based on an evaluation the text match, it is determined whether the body page is a title page.

A web bookmark manager processes a collection of web bookmarks to produce a richly structured presentation of the bookmark collection. The bookmark collection includes representations of resources, topics, and notice events. A notice event includes a reference to a web resource and a natural language description provided by a user. The notice description is processed by a classifier to determine topics to which the referenced web resource shall be associated. The processing of the notice description includes parsing to obtain sequences of content words, to which topics are associated. Generalizations of a topic are determined by subsequences of the associated word sequence. The presentation of a collection of bookmarks includes a chronology of notices, a ranking of topics, a taxonomy of topics, and an index of content words from topics. The presentation further includes per-topic and per-resource presentations.

A method of generating caption abstract, including: generating a target text from a predetermined caption, analyzing a morpheme of a word included in the target text, and analyzing a grammatical structure of the target text by referring to the morpheme; extracting and removing low content words from the target text by using the morpheme or information on the grammatical structure and determining a main predicate; extracting a major sentence component with respect to the main predicate by referring to the information on the grammatical structure, as a candidate abstract word; substituting a relevant word for a complex noun phrase or a predicate phrase from the candidate abstract words by referring to a predetermined database; and generating an abstract by rearranging the candidate abstract words according to a predetermined rule.

A computer-automated system and method identify text in a first “citing” court case, near a “citing instance” (in which a second “cited” court case is cited), that indicates the reason(s) for citing (RFC). The automated method of designating text, taken from a set of citing documents, as reasons for citing (RFC) that are associated with respective citing instances of a cited document, has steps including: obtaining contexts of the citing instances in the respective citing documents (each context including text that includes the citing instance and text that is near the citing instance), analyzing the content of the contexts, and selecting (from the citing instances' context) text that constitutes the RFC, based on the analyzed content of the contexts. A related computer-automated system and method selects content words that are highly related to the reasons a particular document is cited, and gives them weights that indicate their relative relevance. Another related computer-automated system and method forms lists of morphological forms of words. Still another related computer-automated system and method scores sentences to show their relevance to the reasons a document is cited. Also, another related computer-automated system and method generates lists of content words. In a preferred embodiment, the systems and methods are applied to legal (especially case law) documents and legal (especially case law) citations.