Hello! My name is Luca Soldaini and I am applied scientist in Amazon Alexa machine learning team. I recently completed my Ph.D. in Computer Science at Georgetown University; my dissertation work was concerned with improving access to medical information by bridging the knowledge gap between health information seekers and medical content. I am also a member of the Information Retrieval Lab. A copy of my resumé is available here. My pronouns are he/him/his.
CONTACTS
I go by @soldni pretty much everywhere online. If you want to get in touch, I am available on any of the following platforms:
PUBLICATIONS
- 2018 -
- Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, and Ophir Frieder. "Overcoming Low-Utility Facets for Complex Answer Retrieval." KG4IR Workshop, SIGIR 2018. [TO APPEAR]
- 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. [PDF]
- 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 2018. [PDF]
- 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 2018. [PDF]
- Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, and Ophir Frieder. "Characterizing Question Facets for Complex Answer Retrieval." SIGIR 2018. [PDF]
- Sean MacAvaney, Luca Soldaini, Arman Cohan, and Nazli Goharian. "Tree-LSTMs for Scientific Relation Classification." SemEval Workshop, NAACL 2018. [PDF]
- 2017 -
- Luca Soldaini, Andrew Yates, and Nazli Goharian. "Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model." CIKM 2017. [PDF]
- Luca Soldaini, Andrew Yates, and Nazli Goharian. "Learning to Reformulate Long Queries for Clinical Decision Support." Journal of the Association for Information Science and Technology (JASIST), Special Issue on Biomedical Information Retrieval. [PDF]
- Luca Soldaini and Nazli Goharian. "Learning to Rank for Consumer Health Search: a Semantic Approach." ECIR 2017. [PDF]
- Luca Soldaini and Elad Yom-Tov. "Inferring Individual Attributes from Search Engine Queries and Auxiliary Information." WWW 2017. [PDF]
- 2016 -
- Luca Soldaini and Nazli Goharian. "QuickUMLS: a fast, unsupervised approach for medical concept extraction." MedIR Workshop, SIGIR 2016. [PDF | CODE]
- Arman Cohan, Luca Soldaini, and Nazli Goharian. "Identifying Significance of Discrepancies in Radiology Reports." DMMH Workshop, SDM 2016. [PDF]
- 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, Volume 19, Issue 1, Springer. [PDF]
- 2015 -
- Arman Cohan, Luca Soldaini, and Nazli Goharian. "Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach." NAACL 2015. [PDF]
- Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, and Ophir Frieder. "Retrieving Medical Literature for Clinical Decision Support." ECIR 2015. [PDF]
- 2014 -
- Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, and Ophir Frieder. "Query Reformulation for Clinical Decision Support Search." TREC 2014. [PDF]
- Arman Cohan, Luca Soldaini, Saket S.R. Mengle, and Nazli Goharian. "Towards Citation-Based Summarization of Biomedical Literature." TAC 2014. [PDF]
- Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, and Ophir Frieder. "On Clinical Decision Support." BCB 2014. [PDF]