Abstract: Aspects of the present disclosure relate to identifying a product in a document. A computing machine accesses a product mention in a scientific or research-related text, the product mention including one or more attribute values for a plurality of attributes, each attribute being associated with either a single attribute value or no attribute value. The computing machine determines that the attribute values of the product mention correspond to two or more candidate product matches in a product directory. The computing machine identifies, based at least in part on stored data related to the scientific or research-related text, a product match from among the candidate product matches, the product match corresponding to the product mention in the scientific or research-related text. The computing machine provides an output of the product match for storage in conjunction with the product mention in the scientific or research-related text.

Abstract: Aspects of the present disclosure relate to identifying a product in a document. A server accesses a document including scientific or research-related text. The server divides the document into a plurality of tokens, each token comprising a part of the text that logically comprises a unit of information. The server computes, for each token in the plurality of tokens, a score corresponding to whether the token corresponds to a commercial product, the score being computed based on a list of features of commercial products and weights assigned to features in the list. The server determines that the score exceeds a threshold score. The server provides, in response to determining that the score exceeds the threshold score, an output representing that the token corresponds to the commercial product.

Abstract: Aspects of the present disclosure relate to identifying a product in a document. A server accesses a document including scientific or research-related text. The server divides the document into a plurality of tokens, each token comprising a part of the text that logically comprises a unit of information. The server computes, for each token in the plurality of tokens, a score corresponding to whether the token corresponds to a commercial product, the score being computed based on a list of features of commercial products and weights assigned to features in the list. The server determines that the score exceeds a threshold score. The server provides, in response to determining that the score exceeds the threshold score, an output representing that the token corresponds to the commercial product.

Abstract: Aspects of the present disclosure relate to identifying a product in a document. A computing machine accesses a product mention in a scientific or research-related text, the product mention including one or more attribute values for a plurality of attributes, each attribute being associated with either a single attribute value or no attribute value. The computing machine determines that the attribute values of the product mention correspond to two or more candidate product matches in a product directory. The computing machine identifies, based at least in part on stored data related to the scientific or research-related text, a product match from among the candidate product matches, the product match corresponding to the product mention in the scientific or research-related text. The computing machine provides an output of the product match for storage in conjunction with the product mention in the scientific or research-related text.