About me.
Now.
PhD Student - Sapienza NLP Group
Sapienza University of Rome, Italy
PhD Student in NLP at the Sapienza NLP group of Sapienza University of Rome.
Nov. 2021
- Present
Publications.
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Riccardo Orlando, Pere-Lluís Huguet Cabot, Edoardo Barba, and Roberto Navigli
In ArXiv, 2024
March 2024
MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus
Simone Conia, Edoardo Barba, Abelardo Carlos Martinez Lorenzo, Pere-Lluís Huguet Cabot, Riccardo Orlando, Luigi Procopio, and Roberto Navigli
In Proceedings of NAACL, 2024
June 2024
Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities
Riccardo Orlando, Simone Conia, and Roberto Navigli
In Findings of ACL, 2023
July 2023
Universal Semantic Annotator.
Roberto Navigli, Riccardo Orlando, Cesare Campagnan, and Simone Conia
In European Language Grid. Springer, Cham, 2023
2023
Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing.
Riccardo Orlando, Simone Conia, Stefano Faralli, and Roberto Navigli
In Proceedings of LREC, 2022
June 2022
AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation.
Riccardo Orlando, Simone Conia, Fabrizio Brignone, Francesco Cecconi, and Roberto Navigli
In Proceedings of EMNLP, 2021
November 2021
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles.
Simone Conia, Riccardo Orlando, Fabrizio Brignone, Francesco Cecconi, and Roberto Navigli
In Proceedings of EMNLP, 2021
November 2021
Past.
Feb. 2021
- Dec. 2021
Master of Science in Engineering in Computer Science
Sapienza University of Rome, Italy
Thesis title: An automatic approach to produce multilingual training data for Semantic Role Labelling.
Grade: 110/110 with honours
2018
- 2020
Software Engineer - Capgemini
Rome, Italy
Included in a team that worked to re-platform a series of internal applications of an insurance company. Worked as a software engineer mainly on the backend but also contributed to the frontend.
Mar. 2018
- Sept. 2018
Bachelor of Computer Science
Sapienza University of Rome, Italy
Thesis title: Densest subgraph in Fork/Join.
2015
- 2018
Personal projects.
These are some projects I'm involved in:
🦮 Golden Retriever
A Lightning framework for retriever architecture prototype
🦙 Llama Trainer Utility
A "just few lines of code" utility for fine-tuning (not only) Llama models.
transformers-embedder
A Word Level Transformer layer based on Pytorch and 🤗Transformers.
nlp-template
A template to initialize PyTorch projects that use as a backbone framework PyTorch Lightning.
🍺 IPA: import, preprocess, accelerate
NLP Preprocessing Pipeline Wrappers.
ner-serve
Simple multilingual NER model serving using Docker, FastAPI, ONNX and Multilingual Mini-LM.
transformers-ner
Simple NER model, showcasing Transformer Embedder library.
transformer-srl
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
Super SloMo TF2
Tensorflow 2 implementation of Super Slo Mo paper.
Chinese word segmentation
Chinese Word Segmentation task based on BERT and implemented in Pytorch for state-of-the-art Chinese word segmentation.
Word Sense Disambiguation
A supervised Bi-LSTM architecture for the Word Sense Disambiguation task.
Sense Embeddings
BabelNet (and WordNet) sense embedding trained with Word2Vec and FastText.
CNN Image Classification
Convolutional Neural Networks trained to classify different types of boats.
Machine Learning Malware Analysis
Three different classifier trained to distinguish malware application from non-malware ones and recognize the family they belong.
Densest Subgraph in Fork/Join
Bachelor’s thesis. Densest Subgraph in Fork/Join. A Fork/Join parallel algorithm for the densest subgraph problem.
Fork/Join Sudoku Solver
Solver that uses Fork/Join framework to solve Sudoku in parallel, made during a multi-core programming course.