Convolutional neural networks vs. convolution kernels: Feature engineering for answer sentence reranking K Tymoshenko, D Bonadiman, A Moschitti Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 67 | 2016 |
ConvKN at SemEval-2016 Task 3: Answer and question selection for question answering on Arabic and English fora A Barrón-Cedeño, D Bonadiman, G Da San Martino, S Joty, A Moschitti, ... Proceedings of SemEval, 896-903, 2016 | 67 | 2016 |
Effective shared representations with multitask learning for community question answering D Bonadiman, A Uva, A Moschitti Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 31* | 2017 |
Deep neural networks for named entity recognition in Italian D Bonadiman, A Severyn, A Moschitti CLiC it, 51, 2015 | 26 | 2015 |
Deal: Decoding-time alignment for large language models JY Huang, S Sengupta, D Bonadiman, Y Lai, A Gupta, N Pappas, ... arXiv preprint arXiv:2402.06147, 2024 | 25 | 2024 |
Learning to rank non-factoid answers: Comment selection in web forums K Tymoshenko, D Bonadiman, A Moschitti Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 23 | 2016 |
Injecting domain knowledge in language models for task-oriented dialogue systems D Emelin, D Bonadiman, S Alqahtani, Y Zhang, S Mansour arXiv preprint arXiv:2212.08120, 2022 | 22 | 2022 |
Large scale question paraphrase retrieval with smoothed deep metric learning D Bonadiman, A Kumar, A Mittal Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), 2019 | 14 | 2019 |
Query rephrasing using encoder neural network and decoder neural network A Kumar, D Bonadiman US Patent 11,580,145, 2023 | 12 | 2023 |
Injecting Relational Structural Representation in Neural Networks for Question Similarity A Uva, D Bonadiman, A Moschitti arXiv preprint arXiv:1806.08009, 2018 | 12 | 2018 |
Ranking kernels for structures and embeddings: A hybrid preference and classification model K Timoshenko, D Bonadiman, A Moschitti Proceedings of the 2017 Conference on Empirical Methods in NaturalLanguage …, 2017 | 12 | 2017 |
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection D Bonadiman, A Moschitti Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 8 | 2020 |
Knowledge-driven slot constraints for goal-oriented dialogue systems P Lertvittayakumjorn, D Bonadiman, S Mansour Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 5 | 2021 |
Neural Sentiment Analysis for a Real-World Application D Bonadiman, G Castellucci, A Favalli, R Romagnoli, A Moschitti Fourth Italian Conference on Computational Linguistics, 2017 | 3 | 2017 |
Flap: Flow adhering planning with constrained decoding in llms S Roy, S Sengupta, D Bonadiman, S Mansour, A Gupta arXiv preprint arXiv:2403.05766, 2024 | 2 | 2024 |
Eliciting better multilingual structured reasoning from LLMs through code B Li, T Alkhouli, D Bonadiman, N Pappas, S Mansour arXiv preprint arXiv:2403.02567, 2024 | 2 | 2024 |
Recurrent Context Window Networks for Italian Named Entity Recognizer D Bonadiman, A Severyn, A Moschitti Italian Journal of Computational Linguistics 2, 2016 | 2 | 2016 |
Addressing Community Question Answering in English and Arabic G Da San Martino, A Barrón-Cedeño, S Romeo, A Moschitti, S Joty, ... ArXiv e-prints, 2016 | 1 | 2016 |
DFEE: interactive DataFlow execution and evaluation kit H He, S Feng, D Bonadiman, Y Zhang, S Mansour Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16443 …, 2023 | | 2023 |
Cross-Language Transformer Adaptation for Frequently Asked Questions L Di Liello, D Bonadiman, C Giannone, A Favalli, R Romagnoli, ... Computational Linguistics CLiC-it 2020, 157, 2020 | | 2020 |