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2020 – today
- 2023
[c18]Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton:
Graph Neural Networks for Entity Matching. IEEE Big Data 2023: 6212-6214- [c17]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. EMNLP 2023: 9129-9146 - [c16]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. ICML 2023: 1200-1217 - [i8]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. CoRR abs/2305.12027 (2023) - [i7]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. CoRR abs/2306.03175 (2023) - 2022
- [c15]Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Case-based reasoning for better generalization in textual reinforcement learning. ICLR 2022 - 2021
- [c14]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI 2021: 9018-9027 - [c13]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. AAAI 2021: 16054-16056 - [c12]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) 2021: 719-725 - [c11]Mattia Atzeni, Jasmina Bogojeska
, Andreas Loukas:
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning. NeurIPS 2021: 12587-12599 - [i6]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. CoRR abs/2105.03701 (2021) - [i5]Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Case-based Reasoning for Better Generalization in Text-Adventure Games. CoRR abs/2110.08470 (2021) - [i4]Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas:
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning. CoRR abs/2110.14266 (2021) - 2020
- [j3]Mattia Atzeni, Diego Reforgiato Recupero:
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human-robot interaction. Future Gener. Comput. Syst. 110: 984-999 (2020) - [i3]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati:
Siamese Graph Neural Networks for Data Integration. CoRR abs/2001.06543 (2020) - [i2]Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula:
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. CoRR abs/2005.00811 (2020) - [i1]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR abs/2010.03790 (2020)
2010 – 2019
- 2019
- [j2]Amna Dridi, Mattia Atzeni, Diego Reforgiato Recupero:
FineNews: fine-grained semantic sentiment analysis on financial microblogs and news. Int. J. Mach. Learn. Cybern. 10(8): 2199-2207 (2019) - [c10]Mattia Atzeni, Maurizio Atzori:
AskCO: A Multi-language and Extensible Smart Virtual Assistant. AIKE 2019: 111-112 - 2018
- [j1]Mattia Atzeni, Amna Dridi, Diego Reforgiato Recupero:
Using frame-based resources for sentiment analysis within the financial domain. Prog. Artif. Intell. 7(4): 273-294 (2018) - [c9]Mattia Atzeni, Maurizio Atzori:
Translating Natural Language to Code: An Unsupervised Ontology-Based Approach. AIKE 2018: 1-8 - [c8]Mattia Atzeni, Diego Reforgiato Recupero:
Deep Learning and Sentiment Analysis for Human-Robot Interaction. ESWC (Satellite Events) 2018: 14-18 - [c7]Mattia Atzeni, Diego Reforgiato Recupero:
Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 140-150 - [c6]Mattia Atzeni, Maurizio Atzori:
Towards Semantic Approaches for General-Purpose End-User Development. IRC 2018: 369-376 - [c5]Mattia Atzeni, Maurizio Atzori:
What Is the Cube Root of 27? Question Answering Over CodeOntology. ISWC (1) 2018: 285-300 - 2017
- [c4]Mattia Atzeni, Amna Dridi, Diego Reforgiato Recupero:
Fine-Grained Sentiment Analysis on Financial Microblogs and News Headlines. SemWebEval@ESWC 2017: 124-128 - [c3]Amna Dridi, Mattia Atzeni, Diego Reforgiato Recupero:
Bearish-Bullish Sentiment Analysis on Financial Microblogs. EMSASW@ESWC 2017 - [c2]Mattia Atzeni, Maurizio Atzori:
CodeOntology: RDF-ization of Source Code. ISWC (2) 2017: 20-28 - [c1]Mattia Atzeni, Maurizio Atzori:
CodeOntology: Querying Source Code in a Semantic Framework. ISWC (Posters, Demos & Industry Tracks) 2017
Coauthor Index
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