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Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection.

S. Kotitsas, P. Kounoudis, E. Koutli, and H. Papageorgiou. EACL (1), page 2540-2554. Association for Computational Linguistics, (2024)

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Toula Papageorgiou

József Haris

Haris Pervaiz

Cordula Harisch

Victor Harison

Other publications of authors with the same name

Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation.E. Palogiannidi, A. Kolovou, F. Christopoulou, F. Kokkinos, E. Iosif, N. Malandrakis, H. Papageorgiou, S. Narayanan, and A. Potamianos. SemEval@NAACL-HLT, page 155-163. The Association for Computer Linguistics, (2016)ATHENA@CL-SciSumm 2019: Siamese recurrent bi-directional neural network for identifying cited text spans.A. Fergadis, D. Pappas, and H. Papageorgiou. BIRNDL@SIGIR, volume 2414 of CEUR Workshop Proceedings, page 256-262. CEUR-WS.org, (2019)Argumentation Mining in Scientific Literature for Sustainable Development.A. Fergadis, D. Pappas, A. Karamolegkou, and H. Papageorgiou. ArgMining@EMNLP, page 100-111. Association for Computational Linguistics, (2021)Universal Dependencies for Greek.P. Prokopidis, and H. Papageorgiou. UDW@NoDaLiDa, page 102-106. Association for Computational Linguistics, (2017)"Just the Facts" with PALOMAR: Detecting Protest Events in Media Outlets and Twitter.K. Papanikolaou, H. Papageorgiou, N. Papasarantopoulos, T. Stathopoulou, and G. Papastefanatos. SMN@ICWSM, volume WS-16-19 of AAAI Workshops, AAAI Press, (2016)Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.A. Fergadis, C. Baziotis, D. Pappas, H. Papageorgiou, and A. Potamianos. Database J. Biol. Databases Curation, (2018)Research & Innovation Activities' Impact Assessment: The Data4Impact System.I. Grypari, D. Pappas, N. Manola, and H. Papageorgiou. LT4Gov@LREC, page 22-27. European Language Resources Association, (2020)Smart Cities in Stars: Food Perceptions and Beyond.M. Pontiki, P. Koltsida, D. Gkoumas, D. Pappas, H. Papageorgiou, E. Toli, and Y. Ioannidis. INSCI, volume 10673 of Lecture Notes in Computer Science, page 174-183. Springer, (2017)SemEval-2016 Task 5: Aspect Based Sentiment Analysis.M. Pontiki, D. Galanis, H. Papageorgiou, I. Androutsopoulos, S. Manandhar, M. Al-Smadi, M. Al-Ayyoub, Y. Zhao, B. Qin, O. Clercq and 8 other author(s). SemEval@NAACL-HLT, page 19-30. The Association for Computer Linguistics, (2016)Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection.S. Kotitsas, P. Kounoudis, E. Koutli, and H. Papageorgiou. EACL (1), page 2540-2554. Association for Computational Linguistics, (2024)

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Disambiguation of "Papageorgiou, Haris"

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Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection.

Please choose a person to relate this publication to

Toula Papageorgiou

József Haris

Haris Pervaiz

Cordula Harisch

Victor Harison

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Papageorgiou, Haris"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection.

Please choose a person to relate this publication to

Toula Papageorgiou

József Haris

Haris Pervaiz

Cordula Harisch

Victor Harison

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection.