Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements ; day:23 ; month:8 ; year:2023 ; pages:1-25
Scientometrics ; (23.8.2023), 1-25

Classification: Allgemeines, Wissenschaft

Creator: Smirnova, Nina
Mayr, Philipp

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11192-023-04806-2

URN: urn:nbn:de:101:1-2023110609273263057357

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Smirnova, Nina
Mayr, Philipp
SpringerLink (Online service)

Other Objects (12)

Hochschulschrift

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Hochschulschrift

Discovering and disambiguating named entities in text

Hochschulschrift

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Hochschulschrift

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Hochschulschrift

Discovering and disambiguating named entities in text

Hochschulschrift

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Hochschulschrift

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Hochschulschrift

Discovering and disambiguating named entities in text

Hochschulschrift

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Discovering and disambiguating named entities in text

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Discovering and disambiguating named entities in text

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Automatic population of knowledge bases with multimodal data about named entities

BECREATIVE :Annotation of German Named Entities

Tagging named entities in Croatian tweets

Discovering and disambiguating named entities in text

Efficient knowledge management for named entities from text

A Chinese telemedicine-dialogue dataset annotated for named entities

Interactive Ambiguity Resolution of Named Entities in Fictional Literature

Detecting political biases of named entities and hashtags on Twitter

SIA: a scalable interoperable annotation server for biomedical named entities

Distinguishing the species of biomedical named entities for term identification

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

CroNER: Recognizing named entities in Croatian using conditional random fields

Related objects

Reset password