Distributional Models and Lexical Semantics in Convolution Kernels. - Danilo Croce; Simone Filice; Roberto Basili 001 (CICLing (1), 2012)

A Robust Machine Learning Approach for Signal Separation and Classification. - Simone Filice; Danilo Croce; Roberto Basili 001 (IbPRIA, 2013)

Robust Language Learning via Efficient Budgeted Online Algorithms. - Simone Filice; Giuseppe Castellucci; Danilo Croce; Roberto Basili 001 (ICDM Workshops, 2013)

Linear Online Learning over Structured Data with Distributed Tree Kernels. - Simone Filice; Danilo Croce; Roberto Basili 001; Fabio Massimo Zanzotto (ICMLA (1), 2013)

UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis. - Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili 001 (SemEval@NAACL-HLT, 2013)

Effective Kernelized Online Learning in Language Processing Tasks. - Simone Filice; Giuseppe Castellucci; Danilo Croce; Roberto Basili 001 (ECIR, 2014)

UNITOR: Aspect Based Sentiment Analysis with Structured Learning. - Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili 001 (SemEval@COLING, 2014)

A Stratified Strategy for Efficient Kernel-Based Learning. - Simone Filice; Danilo Croce; Roberto Basili 001 (AAAI, 2015)

Thread-Level Information for Comment Classification in Community Question Answering. - Alberto Barrón-Cedeño; Simone Filice; Giovanni Da San Martino; Shafiq R. Joty; Lluís Màrquez; Preslav Nakov; Alessandro Moschitti (ACL (2), 2015)

KeLP: a Kernel-based Learning Platform for Natural Language Processing. - Simone Filice; Giuseppe Castellucci; Danilo Croce; Roberto Basili 001 (ACL (System Demonstrations), 2015)

Structural Representations for Learning Relations between Pairs of Texts. - Simone Filice; Giovanni Da San Martino; Alessandro Moschitti (ACL (1), 2015)

Global Thread-level Inference for Comment Classification in Community Question Answering. - Shafiq R. Joty; Alberto Barrón-Cedeño; Giovanni Da San Martino; Simone Filice; Lluís Màrquez; Alessandro Moschitti; Preslav Nakov (EMNLP, 2015)

QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English. - Massimo Nicosia; Simone Filice; Alberto Barrón-Cedeño; Iman Saleh 001; Hamdy Mubarak; Wei Gao 001; Preslav Nakov; Giovanni Da San Martino; Alessandro Moschitti; Kareem Darwish; Lluís Màrquez; Shafiq R. Joty; et al. (SemEval@NAACL-HLT, 2015)

Distributional Models for Lexical Semantics: An Investigation of Different Representations for Natural Language Learning. - Danilo Croce; Simone Filice; Roberto Basili 001 (Italian Natural Language Processing within the PARLI Project, 2015)

Nyström Methods for Efficient Kernel-Based Methods for Community Question Answering. - Danilo Croce; Simone Filice; Roberto Basili 001 (CLiC-it/EVALITA, 2016)

Learning to Recognize Ancillary Information for Automatic Paraphrase Identification. - Simone Filice; Alessandro Moschitti (HLT-NAACL, 2016)

KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers. - Simone Filice; Danilo Croce; Alessandro Moschitti; Roberto Basili 001 (SemEval@NAACL-HLT, 2016)

Deep Learning in Semantic Kernel Spaces. - Danilo Croce; Simone Filice; Giuseppe Castellucci; Roberto Basili 001 (ACL (1), 2017)

On the Impact of Linguistic Information in Kernel-Based Deep Architectures. - Danilo Croce; Simone Filice; Roberto Basili 001 (AI*IA, 2017)

KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering. - Simone Filice; Giovanni Da San Martino; Alessandro Moschitti (SemEval@ACL, 2017)

On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments. - Alberto Barrón-Cedeño; Giovanni Da San Martino; Simone Filice; Alessandro Moschitti (SIGIR, 2017)

Effective and scalable kernel-based language learning via stratified Nyström methods. - Danilo Croce; Simone Filice; Roberto Basili 001 (Intelligenza Artificiale, 2017)

KELP: a Kernel-based Learning Platform. - Simone Filice; Giuseppe Castellucci; Giovanni Da San Martino; Alessandro Moschitti; Danilo Croce; Roberto Basili 001 (J. Mach. Learn. Res., 2017)

Learning pairwise patterns in Community Question Answering. - Simone Filice; Alessandro Moschitti (Intelligenza Artificiale, 2018)

Making sense of kernel spaces in neural learning. - Danilo Croce; Simone Filice; Roberto Basili 001 (Comput. Speech Lang., 2019)

Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. - Anjie Fang; Simone Filice; Nut Limsopatham; Oleg Rokhlenko (SIGIR, 2020)

Voice-based Reformulation of Community Answers. - Simone Filice; Nachshon Cohen; David Carmel (WWW, 2020)

Continual Learning for Named Entity Recognition. - Natawut Monaikul; Giuseppe Castellucci; Simone Filice; Oleg Rokhlenko (AAAI, 2021)

Learning to Solve NLP Tasks in an Incremental Number of Languages. - Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili 001 (ACL/IJCNLP (2), 2021)

VoiSeR: A New Benchmark for Voice-Based Search Refinement. - Simone Filice; Giuseppe Castellucci; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (EACL, 2021)

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. - Sudipta Kar; Giuseppe Castellucci; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (KDD, 2022)

Learning to Generate Examples for Semantic Processing Tasks. - Danilo Croce; Simone Filice; Giuseppe Castellucci; Roberto Basili 001 (NAACL-HLT, 2022)

Faithful Low-Resource Data-to-Text Generation through Cycle Training. - Zhuoer Wang; Marcus D. Collins; Nikhita Vedula; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (ACL (1), 2023)

Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks. - Simone Filice; Jason Ingyu Choi; Giuseppe Castellucci; Eugene Agichtein; Oleg Rokhlenko (CoRR, 2023)

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. - Parth Patwa; Simone Filice; Zhiyu Chen 001; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (LREC/COLING, 2024)

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (IIR, 2024)

The Power of Noise: Redefining Retrieval for RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (SIGIR, 2024)

The Distracting Effect: Understanding Irrelevant Passages in RAG. - Chen Amiraz; Florin Cuconasu; Simone Filice; Zohar S. Karnin (ACL (1), 2025)

The LiveRAG Challenge at SIGIR 2025. - David Carmel; Simone Filice; Guy Horowitz; Yoelle Maarek; Oren Somekh; Ran Tavory (SIGIR, 2025)

Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana. - Simone Filice; Guy Horowitz; David Carmel; Zohar S. Karnin; Liane Lewin-Eytan; Yoelle Maarek (CoRR, 2025)

Do RAG Systems Suffer From Positional Bias? - Florin Cuconasu; Simone Filice; Guy Horowitz; Yoelle Maarek; Fabrizio Silvestri (CoRR, 2025)

SIGIR 2025 - LiveRAG Challenge Report. - David Carmel; Simone Filice; Guy Horowitz; Yoelle Maarek; Oren Somekh; Ran Tavory; Mehdi Ghissassi; Edo Liberty; Roy Miara (CoRR, 2025)