( en | de | ru )

 

Disambiguation of "Preotiuc-Pietro, Daniel"

Author of the publication

copydeleteadd this publication to your clipboard
Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model.

, , , , , , and . EACL, page 2202-2211. Association for Computational Linguistics, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Daniel Preotiuc-Pietro

Pietro Moretto

Pietro Cortona

Stefano Pietro

Pietro Cavallotti

 

Other publications of authors with the same name

Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model., , , , , , and . EACL, page 2202-2211. Association for Computational Linguistics, (2023)Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts., and . ACL (1), page 2830-2840. Association for Computational Linguistics, (2019)Analyzing and Predicting Persistence of News Tweets., , and . IJCNLP (1), page 719-732. Association for Computational Linguistics, (2023)Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks., , and . CoRR, (2023)Point-of-Interest Type Inference from Social Media Text., , and . AACL/IJCNLP, page 804-810. Association for Computational Linguistics, (2020)EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization., , , , and . EMNLP, page 5538-5547. Association for Computational Linguistics, (2023)EntSUM: A Data Set for Entity-Centric Extractive Summarization., , and . ACL (1), page 3355-3366. Association for Computational Linguistics, (2022)EntSUM: A Data Set for Entity-Centric Summarization., , and . CoRR, (2022)Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders., , , , and . AACL/IJCNLP (2), page 326-333. Association for Computational Linguistics, (2022)Combining Humor and Sarcasm for Improving Political Parody Detection., , , and . NAACL-HLT, page 1800-1807. Association for Computational Linguistics, (2022)