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Simone Filice
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2020 – today
- 2024
- [c31]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. LREC/COLING 2024: 6017-6023 - [c30]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. IIR 2024: 95-98 - [c29]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR 2024: 719-729 - [i6]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. CoRR abs/2401.14887 (2024) - [i5]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. CoRR abs/2404.02422 (2024) - 2023
- [c28]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. ACL (1) 2023: 2847-2867 - [i4]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. CoRR abs/2302.11074 (2023) - [i3]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. CoRR abs/2305.14793 (2023) - [i2]Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko:
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks. CoRR abs/2311.12534 (2023) - 2022
- [c27]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. KDD 2022: 3137-3145 - [c26]Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili:
Learning to Generate Examples for Semantic Processing Tasks. NAACL-HLT 2022: 4587-4601 - 2021
- [c25]Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko:
Continual Learning for Named Entity Recognition. AAAI 2021: 13570-13577 - [c24]Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili:
Learning to Solve NLP Tasks in an Incremental Number of Languages. ACL/IJCNLP (2) 2021: 837-847 - [c23]Simone Filice, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko:
VoiSeR: A New Benchmark for Voice-Based Search Refinement. EACL 2021: 2321-2329 - 2020
- [c22]Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko:
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. SIGIR 2020: 699-708 - [c21]Simone Filice, Nachshon Cohen, David Carmel:
Voice-based Reformulation of Community Answers. WWW 2020: 2885-2891
2010 – 2019
- 2019
- [j4]Danilo Croce, Simone Filice, Roberto Basili:
Making sense of kernel spaces in neural learning. Comput. Speech Lang. 58: 51-75 (2019) - [i1]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) - 2018
- [j3]Simone Filice, Alessandro Moschitti:
Learning pairwise patterns in Community Question Answering. Intelligenza Artificiale 12(2): 49-65 (2018) - 2017
- [j2]Danilo Croce, Simone Filice, Roberto Basili:
Effective and scalable kernel-based language learning via stratified Nyström methods. Intelligenza Artificiale 11(2): 93-116 (2017) - [j1]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) - [c20]Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili:
Deep Learning in Semantic Kernel Spaces. ACL (1) 2017: 345-354 - [c19]Danilo Croce, Simone Filice, Roberto Basili:
On the Impact of Linguistic Information in Kernel-Based Deep Architectures. AI*IA 2017: 359-371 - [c18]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 - [c17]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 - 2016
- [c16]Danilo Croce, Simone Filice, Roberto Basili:
Nyström Methods for Efficient Kernel-Based Methods for Community Question Answering. CLiC-it/EVALITA 2016 - [c15]Simone Filice, Alessandro Moschitti:
Learning to Recognize Ancillary Information for Automatic Paraphrase Identification. HLT-NAACL 2016: 1109-1114 - [c14]Simone Filice, Danilo Croce, Alessandro Moschitti, Roberto Basili:
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers. SemEval@NAACL-HLT 2016: 1116-1123 - 2015
- [c13]Simone Filice, Danilo Croce, Roberto Basili:
A Stratified Strategy for Efficient Kernel-Based Learning. AAAI 2015: 2239-2245 - [c12]Simone Filice, Giuseppe Castellucci, Danilo Croce, Roberto Basili:
KeLP: a Kernel-based Learning Platform for Natural Language Processing. ACL (System Demonstrations) 2015: 19-24 - [c11]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 - [c10]Simone Filice, Giovanni Da San Martino, Alessandro Moschitti:
Structural Representations for Learning Relations between Pairs of Texts. ACL (1) 2015: 1003-1013 - [c9]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 - [c8]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 - [p1]Danilo Croce, Simone Filice, Roberto Basili:
Distributional Models for Lexical Semantics: An Investigation of Different Representations for Natural Language Learning. Italian Natural Language Processing within the PARLI Project 2015: 115-134 - 2014
- [c7]Simone Filice, Giuseppe Castellucci, Danilo Croce, Roberto Basili:
Effective Kernelized Online Learning in Language Processing Tasks. ECIR 2014: 347-358 - [c6]Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili:
UNITOR: Aspect Based Sentiment Analysis with Structured Learning. SemEval@COLING 2014: 761-767 - 2013
- [c5]Simone Filice, Danilo Croce, Roberto Basili:
A Robust Machine Learning Approach for Signal Separation and Classification. IbPRIA 2013: 749-757 - [c4]Simone Filice, Giuseppe Castellucci, Danilo Croce, Roberto Basili:
Robust Language Learning via Efficient Budgeted Online Algorithms. ICDM Workshops 2013: 913-920 - [c3]Simone Filice, Danilo Croce, Roberto Basili, Fabio Massimo Zanzotto:
Linear Online Learning over Structured Data with Distributed Tree Kernels. ICMLA (1) 2013: 123-128 - [c2]Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili:
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis. SemEval@NAACL-HLT 2013: 369-374 - 2012
- [c1]Danilo Croce, Simone Filice, Roberto Basili:
Distributional Models and Lexical Semantics in Convolution Kernels. CICLing (1) 2012: 336-348
Coauthor Index
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last updated on 2024-11-08 20:25 CET by the dblp team
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