The Sapienza Natural Language Processing Group (Sapienza NLP), led by prof. Roberto Navigli, includes a large team of Ph.D. students and researchers which are part of the Computer, Control and Management Engineering Department and Computer Science Department of Sapienza University of Rome.
Our group aims at devising and developing innovative approaches to multilingual Natural Language Understanding. We pursue a vision focused on integrating explicit, symbolic knowledge with deep learning.
The group's work is financed by several sources of funding, including ERC grants, other EU and national projects, and the Babelscape Sapienza spin-off.
Sapienza NLP @ NAACL 2022
Sapienza NLP will be at NAACL with 3 papers! We will present our works on Named Entity Recognition, Entity Disambiguation, Idiomatic Expressions and biases in Neural Machine Translation.
Workshop on Ten Years of BabelNet and Multilingual Neurosymbolic Natural Language Understanding
This 2-day workshop organized at Sapienza in the Department of Computer, Control and Management Engineering takes place after more than 10 years of research on multilingual Natural Language Understanding to celebrate the most far-reaching and novel multilingual dictionary and knowledge base, BabelNet, currently used by more than 1000 universities and research institutions, and discuss the future of neuro-symbolic approaches to Natural Language Understanding.
ACL 2022 Best Resource Paper Award!
We are thrilled to announce that our work “DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation” has been awarded as ‘Best Resource Paper’ at ACL 2022! Many congratulations to the authors Niccolò Campolungo, Federico Martelli, Francesco Saina and Roberto Navigli!
SapienzaNLP @ ACL 2022
We are proud to announce that our group has 6 main conference publications at ACL 2022! Our works cover a set of diverse topics such as disambiguation biases in MT, structured emotion classification, probing language models, Word Sense and Entity Disambiguation. Furthermore, we released BabelNet Meaning Representation (BMR), our fully-semantic, language-agnostic representation formalism.
SapienzaNLP @ AAAI 2022
The Sapienza NLP group is proud to present two new papers at AAAI 2022! This time, we will showcase our work on semantic typing of events and visual definition modeling. Not only that, we will also introduce our "blue sky" idea on BabelNet Meaning Representation (BMR).
SapienzaNLP @ EMNLP 2021
We are extremely excited about EMNLP 2021, the first hybrid NLP conference in two years! We will be there with 11 papers on a varied range of topics from Word Sense Disambiguation to Lexical Substitution, Information Retrieval, Relation Extraction, Entity Linking and more!
SapienzaNLP @ IJCAI 2021
We are proud to announce that our group will be at IJCAI 2021 with 6 accepted papers: 4 in the main track and 2 surveys! Once again, our papers touch several areas of Semantics in NLP ranging from multilingual alignment to Word Sense Disambiguation, Semantic Role Labeling and Lexical Substitution.
ACL 2021 is about to start!
Are you ready for ACL 2021? The Sapienza NLP group is proud to have our lab director, Prof. Roberto Navigli, as the Program Co-Chair and support this year's edition of ACL. Together with Babelscape, we present Semantic Paths, the easiest way to discover your new favorite papers and researchers!
SapienzaNLP @ NAACL 2021
Sapienza NLP will be at NAACL 2021 with 3 papers on semantics, ranging from Word Sense Disambiguation, cross-lingual Semantic Role Labeling (outstanding paper award!) and multilingual Semantic Parsing! Read more about them in our blog post.
SapienzaNLP @ EACL 2021
Sapienza NLP is at EACL 2021 with 1 short paper +1 long paper! Read more about our latest research on semantics here.
BabelNet 5 is out now!
Celebrate the 10th anniversary of BabelNet with us! New interface, up-to-date content in 500 languages, 20 million synsets, WordNet 2020, and much more! Check out the latest release of BabelNet at babelnet.org!
SapienzaNLP @ AAAI 2021
We are proud to share the latest developments from our lab at AAAI 2021! Read more about our newest papers on Semantic Parsing (Text-to-AMR and AMR-to-Text) and Multilingual WSD!
SapienzaNLP @ IJCAI 2020
Read more about the latest research presented at IJCAI 2020 from our group: from multilingual Word Sense Disambiguation to learning multilmodal (text + image) sense embeddings!
SapienzaNLP @ COLING 2020
The Sapienza NLP group is proud to present 2 papers at COLING 2020: "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach" and "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations".
SapienzaNLP @ EMNLP 2020
We are proud to announce that SapienzaNLP has 4 + 1 papers accepted at EMNLP 2020: 4 long papers at the main conference and 1 demo paper. Our contributions touch several areas from Word Sense Disambiguation to Semantic Parsing and Semantic Role Labeling.
SapienzaNLP @ ACL 2020
We are proud to announce that SapienzaNLP has 4 papers accepted at ACL: 2 long, 1 short, and a demo, making up almost half of the accepted papers from Italian institutions (4 out of 9). Our works lie in the areas of lexical semantics, multimodal representation learning and multilinguality.
VerbAtlas is now out!
We are proud to announce that VerbAtlas 1.0 (verbatlas.org) is finally available for download.
Developed at the Sapienza NLP group, the multilingual Natural Language Processing group at the Sapienza University of Rome, VerbAtlas is a novel large-scale manually-crafted semantic resource for wide-coverage, intelligible and scalable Semantic Role Labeling. The goal of VerbAtlas is to manually cluster WordNet synsets that share similar semantics into a set of semantically-coherent frames.
SyntagNet is now out!
We are proud to announce that SyntagNet 1.0 (http://syntagnet.org) is finally available for download. Developed at the Sapienza NLP group, the multilingual Natural Language Processing group at the Sapienza University of Rome, SyntagNet is a manually-curated large-scale lexical-semantic combination database which associates pairs of concepts with pairs of co-occurring words. The goal of SyntagNet is to capture sense distinctions evoked by syntagmatic relations, hence providing information which complements with the essentially paradigmatic knowledge shared by currently available Lexical Knowledge Bases.
Welcome to the all-new Sapienza NLP website!
We are proud to launch our all-new website! Redesigned from the ground up with modern standards in mind, the Sapienza NLP website will be the main showcase for our research.
Under the guidance of Prof. Roberto Navigli, the Sapienza NLP group has continuously grown over the last few years and now it features 4 post doctoral research fellows and 12 PhD students. Click "Read More" to know more about them and their research activity!