公开(公告)号：US09619457B1

公开(公告)日：2017-04-11

申请号：US14332996

申请日：2014-07-16

Applicant: Google Inc.

Inventor： Daniel Gillick ,  Amarnag Subramanya

IPC: G06F17/27 ,  G06K9/00

CPC classification number: G06K9/00442 ,  G06F17/271 ,  G06F17/2715 ,  G06F17/277 ,  G06K9/00483 ,  G06K9/6218

Abstract: A computer-implemented technique can include obtaining a training corpus including pairs of (i) documents and (ii) corresponding abstracts. The technique can include identifying a set of entity mentions in each abstract and each corresponding document based on their respective part-of-speech (POS) tags and dependency parses. The technique can include clustering the sets of entity mentions referring to a same underlying entity to obtain clusters for each document and each corresponding abstract. The technique can include aligning specific abstract entity mentions to corresponding document entity mentions to obtain a set of aligned abstract and document entities. The technique can include labeling the set of aligned entities as salient and unaligned entities as non-salient to generate a labeled corpus. The technique can also include training features of a classifier using the labeled corpus to obtain a trained classifier.