Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Giovanni Da San Martino"'
Autor:
Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e352ed74b683eb49c921913c07c1f2a
https://hdl.handle.net/11577/3481123
https://hdl.handle.net/11577/3481123
Autor:
Preslav Nakov, Reem Suwaileh, Maram Hasanain, Alberto Barrón-Cedeño, Giovanni Da San Martino, Fatima Haouari, Tamer Elsayed
Publikováno v:
Advances in Information Retrieval
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish
Autor:
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis- Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
This paper summarizes the content of the 20 tutorials that have been given at The Web Conference 2022: 85% of these tutorials are lecture style, and 15% of these are hands on. Published version
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::646b27f2a0da768c4c9127736ec92e15
https://hdl.handle.net/10919/112211
https://hdl.handle.net/10919/112211
Autor:
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
Publikováno v:
Scopus-Elsevier
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content often comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b6c7d603573bf51b52a5fa24513760
https://hdl.handle.net/11577/3481486
https://hdl.handle.net/11577/3481486
Autor:
Preslav Nakov, Giovanni Da San Martino
Publikováno v:
CIKM
The rise of Internet and social media changed not only how we consume information, but it also democratized the process of content creation and dissemination, thus making it easily available to anybody. Despite the hugely positive impact, this situat
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Autor:
Preslav Nakov, Wajdi Zaghouani, Firoj Alam, Anna Feldman, Alex Nikolov, Giovanni Da San Martino, Shaden Shaar
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulgarian, and English. Given a tweet, it asked to predict whether that twe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d1b2a6cd91193cb79820d154731e06
http://arxiv.org/abs/2109.12986
http://arxiv.org/abs/2109.12986
Autor:
Watheq Mansour, Maram Hasanain, Tamer Elsayed, Zien Sheikh Ali, Shaden Shaar, Nikolay Babulkov, Fatima Haouari, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Firoj Alam, Alberto Barrón-Cedeño, Rubén Míguez, Bayan Hamdan, Preslav Nakov, Giovanni Da San Martino, Mucahid Kutlu, Yavuz Selim Kartal, Thomas Mandl
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
CLEF
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa824c30143b38786f9d6bfd71b1dc6
http://arxiv.org/abs/2109.12987
http://arxiv.org/abs/2109.12987
Autor:
Preslav Nakov, Giovanni Da San Martino
Publikováno v:
KDD
The rise of social media has democratized content creation and has made it easy for anybody to share and to spread information online. On the positive side, this has given rise to citizen journalism, thus enabling much faster dissemination of informa
Publikováno v:
AAAI
Kernel methods are popular and effective techniques for learning on structured data, such as trees and graphs. One of their major drawbacks is the computational cost related to making a prediction on an example, which manifests in the classification