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 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: Described herein are computer-implemented systems and methods for automatically disambiguating author names for a plurality of publications so as to create clusters of author name mentions that are with high probability associated with a single author identity for each cluster. Also described are systems and methods for assigning the clusters to respective unique author identities, automatically and/or based on human input (e.g., as received from authors, co-authors, or administrative curators).

Abstract: Described herein are computer-implemented systems and methods for automatically disambiguating author names for a plurality of publications so as to create clusters of author name mentions that are with high probability associated with a single author identity for each cluster. Also described are systems and methods for assigning the clusters to respective unique author identities, automatically and/or based on human input (e.g., as received from authors, co-authors, or administrative curators).

Abstract: Described herein are computer-implemented systems and methods for automatically disambiguating author names for a plurality of publications so as to create clusters of author name mentions that are with high probability associated with a single author identity for each cluster. Also described are systems and methods for assigning the clusters to respective unique author identities, automatically and/or based on human input (e.g., as received from authors, co-authors, or administrative curators).

Abstract: Described herein are computer-implemented systems and methods for automatically disambiguating author names for a plurality of publications so as to create clusters of author name mentions that are with high probability associated with a single author identity for each cluster. Also described are systems and methods for assigning the clusters to respective unique author identities, automatically and/or based on human input (e.g., as received from authors, co-authors, or administrative curators).

Abstract: A system for sharing academic articles and credential information for a plurality of academic users is described herein. Embodiments of the system, computer program product and computer-implemented method perform a process for gathering data related to the academic user and a process for determining a reputation ranking for the academic user by executing the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt, enabling the user profile from the academic user to be viewed by academic and non-academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selection of the other academic users.

Abstract: A system for sharing academic articles and credential information for a plurality of academic users is described herein. Embodiments of the system, computer program product and computer-implemented method perform a process for gathering data related to the academic user and a process for determining a reputation ranking for the academic user by executing the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt, enabling the user profile from the academic user to be viewed by academic and non-academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selection of the other academic users.

Abstract: A system for sharing academic articles and credential information for a plurality of academic users is described herein. Embodiments of the system, computer program product and computer-implemented method perform a process for gathering data related to the academic user and a process for determining a reputation ranking for the academic user by executing the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt, enabling the user profile from the academic user to be viewed by academic and non-academic users and selected for ranking by other academic users, enabling the other academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selection of the other academic users.

Abstract: A system for sharing academic articles and credential information for a plurality of academic users is described herein. Embodiments of the system, computer program product and computer-implemented method perform a process for gathering data related to the academic user and a process for determining a reputation ranking for the academic user by executing the steps of: creating a user profile for the academic user from attribute information gathered from a user profile prompt, enabling the user profile from the academic user to be viewed by academic and non-academic users and selected for ranking by other academic users, enabling the other academic users to provide a rank selection for the user profile for the academic user according to at least one of research quality, credentials, research articles, and user activity, and determining a reputation ranking for the user profile from the rank selection of the other academic users.