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description Publicationkeyboard_double_arrow_right Article 2016 LuxembourgPublisher:MIT Press - Journals Authors: Nguyen, Dat Ba; Theobald, Martin; Weikum, Gerhard;Nguyen, Dat Ba; Theobald, Martin; Weikum, Gerhard;doi: 10.1162/tacl_a_00094
Methods for Named Entity Recognition and Disambiguation (NERD) perform NER and NED in two separate stages. Therefore, NED may be penalized with respect to precision by NER false positives, and suffers in recall from NER false negatives. Conversely, NED does not fully exploit information computed by NER such as types of mentions. This paper presents J-NERD, a new approach to perform NER and NED jointly, by means of a probabilistic graphical model that captures mention spans, mention types, and the mapping of mentions to entities in a knowledge base. We present experiments with different kinds of texts from the CoNLL’03, ACE’05, and ClueWeb’09-FACC1 corpora. J-NERD consistently outperforms state-of-the-art competitors in end-to-end NERD precision, recall, and F1.
Transactions of the ... arrow_drop_down Transactions of the Association for Computational LinguisticsArticle . 2016 . Peer-reviewedData sources: CrossrefOpen Repository and Bibliography - LuxembourgArticle . 2016Data sources: Open Repository and Bibliography - LuxembourgTransactions of the Association for Computational LinguisticsArticleLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1162/tacl_a_00094&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Transactions of the ... arrow_drop_down Transactions of the Association for Computational LinguisticsArticle . 2016 . Peer-reviewedData sources: CrossrefOpen Repository and Bibliography - LuxembourgArticle . 2016Data sources: Open Repository and Bibliography - LuxembourgTransactions of the Association for Computational LinguisticsArticleLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1162/tacl_a_00094&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
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description Publicationkeyboard_double_arrow_right Article 2016 LuxembourgPublisher:MIT Press - Journals Authors: Nguyen, Dat Ba; Theobald, Martin; Weikum, Gerhard;Nguyen, Dat Ba; Theobald, Martin; Weikum, Gerhard;doi: 10.1162/tacl_a_00094
Methods for Named Entity Recognition and Disambiguation (NERD) perform NER and NED in two separate stages. Therefore, NED may be penalized with respect to precision by NER false positives, and suffers in recall from NER false negatives. Conversely, NED does not fully exploit information computed by NER such as types of mentions. This paper presents J-NERD, a new approach to perform NER and NED jointly, by means of a probabilistic graphical model that captures mention spans, mention types, and the mapping of mentions to entities in a knowledge base. We present experiments with different kinds of texts from the CoNLL’03, ACE’05, and ClueWeb’09-FACC1 corpora. J-NERD consistently outperforms state-of-the-art competitors in end-to-end NERD precision, recall, and F1.
Transactions of the ... arrow_drop_down Transactions of the Association for Computational LinguisticsArticle . 2016 . Peer-reviewedData sources: CrossrefOpen Repository and Bibliography - LuxembourgArticle . 2016Data sources: Open Repository and Bibliography - LuxembourgTransactions of the Association for Computational LinguisticsArticleLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1162/tacl_a_00094&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Transactions of the ... arrow_drop_down Transactions of the Association for Computational LinguisticsArticle . 2016 . Peer-reviewedData sources: CrossrefOpen Repository and Bibliography - LuxembourgArticle . 2016Data sources: Open Repository and Bibliography - LuxembourgTransactions of the Association for Computational LinguisticsArticleLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1162/tacl_a_00094&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu