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2020 – today

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2020
[c59]
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Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. ACL (demo) 2020: 287-293
[c58]
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Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. ACL 2020: 3607-3618
[c57]
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media. CLEF 2020: 215-236
[c56]
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Maram Hasanain, Fatima Haouari, Reem Suwaileh, Zien Sheikh Ali, Bayan Hamdan, Tamer Elsayed, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020
[c55]
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Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CLEF (Working Notes) 2020
[c54]
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Shaden Shaar, Alex Nikolov, Nikolay Babulkov, Firoj Alam, Alberto Barrón-Cedeño, Tamer Elsayed, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020
[c53]
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. ECIR (2) 2020: 499-507
[c52]
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Preslav Nakov, Giovanni Da San Martino:
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era. EMNLP (Tutorial Abstracts) 2020: 7-19
[c51]
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Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. EMNLP (1) 2020: 4982-4991
[c50]
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Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. IJCAI 2020: 4826-4832
[c49]
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. SemEval@COLING 2020: 1377-1414
[i25]
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  - journals/corr/abs-2001-08546
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. CoRR abs/2001.08546 (2020)
[i24]
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  - journals/corr/abs-2005-00033
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Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. CoRR abs/2005.00033 (2020)
[i23]
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  - journals/corr/abs-2005-05854
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Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. CoRR abs/2005.05854 (2020)
[i22]
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  - journals/corr/abs-2005-06058
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Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. CoRR abs/2005.06058 (2020)
[i21]
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  - journals/corr/abs-2007-07996
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Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. CoRR abs/2007.07996 (2020)
[i20]
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media. CoRR abs/2007.07997 (2020)
[i19]
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  - journals/corr/abs-2007-08024
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Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. CoRR abs/2007.08024 (2020)
[i18]
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  - journals/corr/abs-2009-02696
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. CoRR abs/2009.02696 (2020)
[i17]
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  - journals/corr/abs-2009-02931
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Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CoRR abs/2009.02931 (2020)
[i16]
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  - journals/corr/abs-2010-05338
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Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. CoRR abs/2010.05338 (2020)

2010 – 2019

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2019
[j10]
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Salvatore Romeo, Giovanni Da San Martino, Yonatan Belinkov, Alberto Barrón-Cedeño, Mohamed Eldesouki, Kareem Darwish, Hamdy Mubarak, James R. Glass, Alessandro Moschitti:
Language processing and learning models for community question answering in Arabic. Inf. Process. Manag. 56(2): 274-290 (2019)
[j9]
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Alberto Barrón-Cedeño, Israa Jaradat, Giovanni Da San Martino, Preslav Nakov:
Proppy: Organizing the news based on their propagandistic content. Inf. Process. Manag. 56(5): 1849-1864 (2019)
[c48]
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  - conf/aaai/MartinoSAM19
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Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti:
Efficient Online Learning for Mapping Kernels on Linguistic Structures. AAAI 2019: 3421-3428
[c47]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. AAAI 2019: 9847-9848
[c46]
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Pepa Atanasova, Preslav Nakov, Georgi Karadzhov, Mitra Mohtarami, Giovanni Da San Martino:
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness. CLEF (Working Notes) 2019
[c45]
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Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. CLEF 2019: 301-321
[c44]
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  - conf/ecir/StaykovskiBMN19
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Todor Staykovski, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Dense vs. Sparse Representations for News Stream Clustering. Text2Story@ECIR 2019: 47-52
[c43]
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Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims. ECIR (2) 2019: 309-315
[c42]
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  - conf/emnlp/ZhangMBRAKSJKBD19
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Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. EMNLP/IJCNLP (3) 2019: 223-228
[c41]
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Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Article. EMNLP/IJCNLP (1) 2019: 5635-5645
[c40]
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  - conf/semeval/ShaprinMBN19
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Daniel Shaprin, Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov:
Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News. SemEval@NAACL-HLT 2019: 1012-1015
[c39]
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Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James R. Glass:
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 1041-1046
[c38]
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Giovanni Da San Martino:
Detecting Propaganda in Online Media. TTO 2019
[i15]
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  - journals/corr/abs-1904-03513
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Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James R. Glass:
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection. CoRR abs/1904.03513 (2019)
[i14]
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  - journals/corr/abs-1910-02028
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Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. CoRR abs/1910.02028 (2019)
[i13]
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  - journals/corr/abs-1910-02517
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Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Articles. CoRR abs/1910.02517 (2019)
[i12]
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  - journals/corr/abs-1910-09982
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov:
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection. CoRR abs/1910.09982 (2019)
[i11]
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  - journals/corr/abs-1911-06815
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Seunghak Yu, Giovanni Da San Martino, Preslav Nakov:
Experiments in Detecting Persuasion Techniques in the News. CoRR abs/1911.06815 (2019)
[i10]
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  - journals/corr/abs-1911-08755
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Shafiq R. Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Global Thread-Level Inference for Comment Classification in Community Question Answering. CoRR abs/1911.08755 (2019)
[i9]
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  - journals/corr/abs-1912-06810
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. CoRR abs/1912.06810 (2019)
2018
[j8]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Tree-Based Kernel for Graphs With Continuous Attributes. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3270-3276 (2018)
[c37]
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Salvatore Romeo, Giovanni Da San Martino, Alberto Barrón-Cedeño, Alessandro Moschitti:
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines. ACL (4) 2018: 134-139
[c36]
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Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. CLEF (Working Notes) 2018
[c35]
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  - conf/clef/Barron-CedenoES18
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Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Pepa Atanasova, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality. CLEF (Working Notes) 2018
[c34]
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  - conf/clef/NakovBESMZAKM18
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Preslav Nakov, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Wajdi Zaghouani, Pepa Atanasova, Spas Kyuchukov, Giovanni Da San Martino:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. CLEF 2018: 372-387
[c33]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Yifan Zhang, Ahmed M. Ali, Fahim Dalvi:
Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage. NewsIR@ECIR 2018: 27-32
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  - conf/ijcnn/NavarinMS18
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Nicolò Navarin, Giovanni Da San Martino, Alessandro Sperduti:
Extreme Graph Kernels for Online Learning on a Memory Budget. IJCNN 2018: 1-8
[i8]
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Pepa Atanasova, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. CoRR abs/1808.05542 (2018)
2017
[j7]
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Simone Filice, Giuseppe Castellucci, Giovanni Da San Martino, Alessandro Moschitti, Danilo Croce, Roberto Basili:
KELP: a Kernel-based Learning Platform. J. Mach. Learn. Res. 18: 191:1-191:5 (2017)
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Salvatore Romeo, Giovanni Da San Martino, Alberto Barrón-Cedeño, Alessandro Moschitti:
A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking. ECIR 2017: 437-449
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Henning Wachsmuth, Giovanni Da San Martino, Dora Kiesel, Benno Stein:
The Impact of Modeling Overall Argumentation with Tree Kernels. EMNLP 2017: 2379-2389
[c29]
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Martin Boyanov, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino, Ivan Koychev:
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. RANLP 2017: 121-129
[c28]
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Simone Filice, Giovanni Da San Martino, Alessandro Moschitti:
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering. SemEval@ACL 2017: 326-333
[c27]
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Giovanni Da San Martino, Salvatore Romeo, Alberto Barrón-Cedeño, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Cross-Language Question Re-Ranking. SIGIR 2017: 1145-1148
[c26]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Alessandro Moschitti:
On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments. SIGIR 2017: 1209-1212
[i7]
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Martin Boyanov, Ivan Koychev, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino:
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. CoRR abs/1710.00689 (2017)
[i6]
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Giovanni Da San Martino, Salvatore Romeo, Alberto Barrón-Cedeño, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Cross-Language Question Re-Ranking. CoRR abs/1710.01487 (2017)
2016
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Ordered Decompositional DAG kernels enhancements. Neurocomputing 192: 92-103 (2016)
[j5]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
An empirical study on budget-aware online kernel algorithms for streams of graphs. Neurocomputing 216: 163-182 (2016)
[c25]
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Antonio Uva, Alessandro Moschitti:
Learning to Re-Rank Questions in Community Question Answering Using Advanced Features. CIKM 2016: 1997-2000
[c24]
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Enamul Hoque, Shafiq R. Joty, Lluís Màrquez, Alberto Barrón-Cedeño, Giovanni Da San Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini:
An Interactive System for Exploring Community Question Answering Forums. COLING (Demos) 2016: 1-5
[c23]
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Salvatore Romeo, Giovanni Da San Martino, Alberto Barrón-Cedeño, Alessandro Moschitti, Yonatan Belinkov, Wei-Ning Hsu, Yu Zhang, Mitra Mohtarami, James R. Glass:
Neural Attention for Learning to Rank Questions in Community Question Answering. COLING 2016: 1734-1745
[c22]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Salvatore Romeo, Alessandro Moschitti:
Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking. COLING 2016: 2515-2525
[c21]
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Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani:
QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification. SemEval@NAACL-HLT 2016: 58-63
[c20]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Shafiq R. Joty, Alessandro Moschitti, Fahad Al-Obaidli, Salvatore Romeo, Kateryna Tymoshenko, Antonio Uva:
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora. SemEval@NAACL-HLT 2016: 896-903
[c19]
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Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani:
Ordinal Text Quantification. SIGIR 2016: 937-940
[i5]
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Alessandro Moschitti, Shafiq R. Joty, Fahad Al-Obaidli, Kateryna Tymoshenko, Antonio Uva:
Addressing Community Question Answering in English and Arabic. CoRR abs/1610.05522 (2016)
2015
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
An Efficient Topological Distance-Based Tree Kernel. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1115-1120 (2015)
[c18]
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Alberto Barrón-Cedeño, Simone Filice, Giovanni Da San Martino, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov, Alessandro Moschitti:
Thread-Level Information for Comment Classification in Community Question Answering. ACL (2) 2015: 687-693
[c17]
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Simone Filice, Giovanni Da San Martino, Alessandro Moschitti:
Structural Representations for Learning Relations between Pairs of Texts. ACL (1) 2015: 1003-1013
[c16]
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Shafiq R. Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Global Thread-level Inference for Comment Classification in Community Question Answering. EMNLP 2015: 573-578
[c15]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Exploiting the ODD framework to define a novel effective graph kernel. ESANN 2015
[c14]
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Massimo Nicosia, Simone Filice, Alberto Barrón-Cedeño, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessandro Moschitti, Kareem Darwish, Lluís Màrquez, Shafiq R. Joty, Walid Magdy:
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English. SemEval@NAACL-HLT 2015: 203-209
[i4]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs. CoRR abs/1507.02158 (2015)
[i3]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Ordered Decompositional DAG Kernels Enhancements. CoRR abs/1507.03372 (2015)
[i2]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
A tree-based kernel for graphs with continuous attributes. CoRR abs/1509.01116 (2015)
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. CoRR abs/1509.06589 (2015)
2014
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. ICONIP (2) 2014: 93-100
2013
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget. IJCAI 2013: 1294-1301
2012
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Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo:
Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. 13(S-4): S22 (2012)
[c11]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
A memory efficient graph kernel. IJCNN 2012: 1-7
[c10]
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Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti:
A Tree-Based Kernel for Graphs. SDM 2012: 975-986
2011
[c9]
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Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti:
Sparsity Issues in Self-Organizing-Maps for Structures. ESANN 2011
[c8]
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
Extending Tree Kernels with Topological Information. ICANN (1) 2011: 142-149
2010
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Giovanni Da San Martino, Alessandro Sperduti:
Mining Structured Data. IEEE Comput. Intell. Mag. 5(1): 42-49 (2010)
[c7]
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
A New Tree Kernel Based on SOM-SD. ICANN (2) 2010: 49-58

2000 – 2009

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2009
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Giovanni Da San Martino:
Kernel Methods for Tree Structured Data. University of Bologna, Italy, 2009
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Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks 20(12): 1938-1949 (2009)
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
Route kernels for trees. ICML 2009: 17-24
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Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications 2009: 9-42
2008
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
A Kernel Method for the Optimization of the Margin Distribution. ICANN (1) 2008: 305-314
2007
[c4]
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti:
Efficient Kernel-based Learning for Trees. CIDM 2007: 308-315
[c3]
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner:
"Kernelized" Self-Organizing Maps for Structured Data. ESANN 2007: 19-24
2006
[c2]
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Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti:
Fast On-line Kernel Learning for Trees. ICDM 2006: 787-791
[c1]
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Giovanni Da San Martino, Franco Alberto Cardillo, Antonina Starita:
A New Swarm Intelligence Coordination Model Inspired by Collective Prey Retrieval and Its Application to Image Alignment. PPSN 2006: 691-700

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