Abstract: One embodiment of a method for summarizing an electronic document includes splitting the electronic document into a plurality of terms, wherein each of the plurality of terms is associated with a respective length, a respective informativeness score, and a respective coherence score, automatically selecting a subset of the plurality of terms, such that an aggregate informativeness score of the subset is maximized while an aggregate length of the subset is less than or equal to a maximum length, and arranging the subset as a summary of the electronic document.

Abstract: A multimedia content item is summarized based on its audio track and a desired compression budget. The audio track is extracted and processed by an automatic speech recognizer to obtain a time-aligned text transcript. The text-transcript is partitioned into a plurality of segment sequences. An informativeness score based on a salience score and a diversity score is computed for each of the segments. A coherence score is also computed for the segments in the plurality of sequences. A subsequence of one of the segment sequences that optimizes for informativeness and coherence is selected for generating a new content item summarizing the multimedia content item.

Abstract: A multimedia content item is summarized based on its audio track and a desired compression budget. The audio track is extracted and processed by an automatic speech recognizer to obtain a time-aligned text transcript. The text-transcript is partitioned into a plurality of segment sequences. An informativeness score based on a salience score and a diversity score is computed for each of the segments. A coherence score is also computed for the segments in the plurality of sequences. A subsequence of one of the segment sequences that optimizes for informativeness and coherence is selected for generating a new content item summarizing the multimedia content item.

Abstract: One embodiment of a method for summarizing an electronic document includes splitting the electronic document into a plurality of terms, wherein each of the plurality of terms is associated with a respective length, a respective informativeness score, and a respective coherence score, automatically selecting a subset of the plurality of terms, such that an aggregate informativeness score of the subset is maximized while an aggregate length of the subset is less than or equal to a maximum length, and arranging the subset as a summary of the electronic document.

Abstract: One embodiment of a method for summarizing an electronic document includes splitting the electronic document into a plurality of terms, wherein each of the plurality of terms is associated with a respective length, a respective informativeness score, and a respective coherence score, automatically selecting a subset of the plurality of terms, such that an aggregate informativeness score of the subset is maximized while an aggregate length of the subset is less than or equal to a maximum length, and arranging the subset as a summary of the electronic document.

Abstract: A multimedia content item is summarized based on its audio track and a desired compression budget. The audio track is extracted and processed by an automatic speech recognizer to obtain a time-aligned text transcript. The text-transcript is partitioned into a plurality of segment sequences. An informativeness score based on a salience score and a diversity score is computed for each of the segments. A coherence score is also computed for the segments in the plurality of sequences. A subsequence of one of the segment sequences that optimizes for informativeness and coherence is selected for generating a new content item summarizing the multimedia content item.

Abstract: One embodiment of a method for summarizing an electronic document includes splitting the electronic document into a plurality of terms, wherein each of the plurality of terms is associated with a respective length, a respective informativeness score, and a respective coherence score, automatically selecting a subset of the plurality of terms, such that an aggregate informativeness score of the subset is maximized while an aggregate length of the subset is less than or equal to a maximum length, and arranging the subset as a summary of the electronic document.

Abstract: A grammar learning aid is implemented with a processor and read only memory programmed in a manner that minimizes memory space and maximizes effective teaching. The programming is based on a unification grammar, in which sentences are determined by their features. The programming is implemented with logic programming in which predicates represent data, and in which logic variables permit features to be unified. This feature-based grammar approach permits an erroneous answer to be associated with a feature and that feature used to generate a similar device.