Automatic detection of claims with respect to a topic
AssigneeInternational Business Machines Corporation
InventorsEhud Aharoni, Yonatan Bilu, Dan Gutfreund, Daniel Hershcovich, Tamar Lavee, Ran Levy, Ruty Rinott, Noam Slonim
Life of this patent
Estimating the term…
Abstract
A method comprising using at least one hardware processor for: receiving a topic under consideration (TUC) and content relevant to the TUC; detecting one or more claims relevant to the TUC in the content, based on detection of boundaries of the claims in the content; and outputting a list of said detected one or more claims.
Claims20
A method comprising using at least one hardware processor for:
- receiving a topic under consideration (TUC) and content relevant to the TUC;
- detecting one or more claims relevant to the TUC in the content, based on detection of boundaries of the claims in the content, wherein the detection of boundaries comprises using a machine learning classifier trained on label claims in their surrounding sentences, wherein each of the labeled claims is a concise statement that directly supports or contests a training TUC;
- and
- outputting a list of said detected one or more claims.
A computer program product comprising a non-transitory computer-readable storage medium having program code embodied therewith, the program code executable by at least one hardware processor to:
- receive a topic under consideration (TUC) and content relevant to the TUC;
- detect one or more claims relevant to the TUC in the content, based on detection of boundaries of the claims in the content, wherein the detection of boundaries comprises using a machine learning classifier trained on label claims in their surrounding sentences, wherein each of the labeled claims is a concise statement that directly supports or contests a training TUC;
- and
- output a list of said detected one or more claims.
A system comprising:
- (i) a storage device having stored thereon instructions for:
- receiving a topic under consideration (TUC) and content relevant to the TUC,
- detecting one or more claims relevant to the TUC in the content, based on detection of boundaries of the claims in the content, wherein the detection of boundaries comprises using a machine learning classifier trained on label claims in their surrounding sentences, wherein each of the labeled claims is a concise statement that directly supports or contests a training TUC;
- and
- outputting a list of said detected one or more claims;
- and
- (ii) at least one hardware processor configured to execute said instructions.
Dependencies are inferred from the claim text.