From TagME to WAT: a new entity annotator. - Francesco Piccinno; Paolo Ferragina (ERD@SIGIR, 2014)

On Analyzing Hashtags in Twitter. - Paolo Ferragina; Francesco Piccinno; Roberto Santoro 002 (ICWSM, 2015)

Compressed Indexes for String Searching in Labeled Graphs. - Paolo Ferragina; Francesco Piccinno; Rossano Venturini (WWW, 2015)

GERBIL: General Entity Annotator Benchmarking Framework. - Ricardo Usbeck; Michael Röder; Axel-Cyrille Ngonga Ngomo; Ciro Baron; Andreas Both 001; Martin Brümmer; Diego Ceccarelli; Marco Cornolti; Didier Cherix; Bernd Eickmann; Paolo Ferragina; Christiane Lemke; et al. (WWW, 2015)

Revisiting Taxonomy Induction over Wikipedia. - Amit Gupta; Francesco Piccinno; Mikhail Kozhevnikov; Marius Pasca; Daniele Pighin (COLING, 2016)

Document Aboutness via Sophisticated Syntactic and Semantic Features. - Marco Ponza; Paolo Ferragina; Francesco Piccinno (NLDB, 2017)

Algorithms and data structures for big labeled graphs. - Francesco Piccinno (2017)

Generating Logical Forms from Graph Representations of Text and Entities. - Peter Shaw 004; Philip Massey; Angelica Chen; Francesco Piccinno; Yasemin Altun (ACL (1), 2019)

Answering Conversational Questions on Structured Data without Logical Forms. - Thomas Müller 009; Francesco Piccinno; Peter Shaw 004; Massimo Nicosia; Yasemin Altun (EMNLP/IJCNLP (1), 2019)

Swat: A system for detecting salient Wikipedia entities in texts. - Marco Ponza; Paolo Ferragina; Francesco Piccinno (Comput. Intell., 2019)

TaPas: Weakly Supervised Table Parsing via Pre-training. - Jonathan Herzig; Pawel Krzysztof Nowak; Thomas Müller 009; Francesco Piccinno; Julian Martin Eisenschlos (ACL, 2020)

Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. - Pierre Marion; Pawel Krzysztof Nowak; Francesco Piccinno (EMNLP (1), 2021)

Table-To-Text generation and pre-training with TabT5. - Ewa Andrejczuk; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Yasemin Altun (EMNLP (Findings), 2022)

What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!? - Alice Shoshana Jakobovits; Francesco Piccinno; Yasemin Altun (CoRR, 2022)

Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing. - Massimo Nicosia; Francesco Piccinno (CoRR, 2022)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Fangyu Liu 001; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Yasemin Altun; Nigel Collier; Julian Martin Eisenschlos (ACL (1), 2023)

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. - Jonas Pfeiffer; Francesco Piccinno; Massimo Nicosia; Xinyi Wang 001; Machel Reid; Sebastian Ruder (EMNLP (Findings), 2023)

Exploiting Self-Tunable RFID Chips for Wireless Sensing of Permittivity to Enable Passive Low-Cost Food-Quality Monitoring Systems. - Francesco Piccinno; Federica Naccarata; Riccardo Colella; Francesco Paolo Chietera; Luca Catarinucci; Gaetano Marrocco (RFID-TA, 2023)

STRUCTSUM Generation for Faster Text Comprehension. - Parag Jain; Andreea Marzoca; Francesco Piccinno (ACL (1), 2024)

Faithful Chart Summarization with ChaTS-Pi. - Syrine Krichene; Francesco Piccinno; Fangyu Liu 001; Julian Eisenschlos (ACL (1), 2024)

Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches. - Averi Nowak; Francesco Piccinno; Yasemin Altun (NAACL-HLT, 2024)