Publications

This page contains a list of peer-reviewed conference papers and journal articles I have authored. For additional publications and talks, please see my resumé.

Pre-prints

• Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D’Arcy, Arman Cohan, and Doug Downey. “Embedding Recycling for Language Models.” ArXiv 2207.04993.

2022

• Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, and Alessandro Moschitti. “Knowledge Transfer from Answer Ranking to Answer Generation.” EMNLP 2022.
• Luca Di Liello, Siddhant Garg, Luca Soldaini, and Alessandro Moschitti. “Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection.” EMNLP 2022.
• Yoshitomo Matsubara, Luca Soldaini, and Alessandro Moschitti. “Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems.” Findings of EMNLP 2022.
• Benjamin Muller, Luca Soldaini, Rik Koncel-Kedziorski, Eric Lind, and Alessandro Moschitti. “Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering.” AACL 2022.
• Luca Di Liello, Siddhant Garg, Luca Soldaini, and Alessandro Moschitti. “Paragraph-based Transformer Pre-training for Multi-Sentence Inference.” NAACL-HLT 2022.

2021

• Chao-Chun Hsu, Eric Lind, Luca Soldaini, and Alessandro Moschitti. “Answer Generation for Retrieval-based Question Answering Systems.” Findings of ACL 2021.
• Rujun Han, Luca Soldaini, and Alessandro Moschitti. “Modeling Context in Answer Sentence Selection Systems on a Latency Budget.” EACL 2021.

2020

• Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, and Chengwei Su. “Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention”. COLING 2020.
• Luca Soldaini and Alessandro Moschitti. “The Cascade Transformer: Efficient Answer Sentence Selection”. ACL 2020.
• Subendhu Rongali, Luca Soldaini, Emilio Monti, and Wael Hamza. “Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing”. WWW 2020.
• Sean MacAvaney, Luca Soldaini, and Nazli Goharian. “Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning”. ECIR 2020.

2018

• Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, and Ophir Frieder. “Overcoming Low-Utility Facets for Complex Answer Retrieval”. Information Retrieval Journal, 2018.
• Ziling Fan, Luca Soldaini, Arman Cohan, and Nazli Goharian. “Relation Extraction for Protein-Protein Interactions Affected by Mutation”. ACM-BCB 2018.
• Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, and Nazli Goharian. “SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions”. COLING 2018.
• Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, and Nazli Goharian. “Helping or Hurting? Predicting Changes in Users’ Risk of Self-Harm Through Online Community Interactions”. CLPsych Workshop, NAACL-HLT 2018.
• Luca Soldaini. “The Knowledge and Language Gap in Medical Information Seeking”. PhD Thesis, Georgetown University. 2018.
• Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, and Nazli Goharian. “RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses”. CLPsych Workshop, NAACL-HLT 2018.
• Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, and Ophir Frieder. “Characterizing Question Facets for Complex Answer Retrieval”. SIGIR 2018.
• Sean MacAvaney, Luca Soldaini, Arman Cohan, and Nazli Goharian. “Tree-LSTMs for Scientific Relation Classification”. SemEval Workshop, NAACL-HLT 2018.

2017

• Luca Soldaini, Andrew Yates, and Nazli Goharian. “Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model”. CIKM 2017.
• Luca Soldaini, Andrew Yates, and Nazli Goharian. “Learning to Reformulate Long Queries for Clinical Decision Support”. JASIST 2017.
• Luca Soldaini and Elad Yom-Tov. “Inferring Individual Attributes from Search Engine Queries and Auxiliary Information”. WWW 2017.
• Luca Soldaini and Nazli Goharian. “Learning to Rank for Consumer Health Search: a Semantic Approach”. ECIR 2017.

2016

• Luca Soldaini and Nazli Goharian. “QuickUMLS: a Fast, Unsupervised Approach for Medical Concept Extraction”. MedIR workshop, SIGIR 2016.
• Arman Cohan, Luca Soldaini, and Nazli Goharian. “Identifying Significance of Discrepancies in Radiology Reports”. DMMH Workshop, SDM 2016.
• Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, and Nazli Goharian. “Enhancing Web Search in the Medical Domain via Query Clarification”. Information Retrieval Journal, 2016.

2015

• Arman Cohan, Luca Soldaini, and Nazli Goharian. “Matching Citation Text and Cited Spans in Biomedical Literature: a Search–Oriented Approach”. NAACL-HLT 2015.
• Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, and Ophir Frieder. “Retrieving Medical Literature for Clinical Decision Support”. ECIR 2015.

2014

• Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, and Ophir Frieder. “On Clinical Decision Support”. ACM-BCB 2014.