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Francesco Piccinno
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2020 – today
- 2024
- [c17]Parag Jain, Andreea Marzoca, Francesco Piccinno:
STRUCTSUM Generation for Faster Text Comprehension. ACL (1) 2024: 7876-7896 - [c16]Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Eisenschlos:
Faithful Chart Summarization with ChaTS-Pi. ACL (1) 2024: 8705-8723 - [c15]Averi Nowak, Francesco Piccinno, Yasemin Altun:
Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches. NAACL-HLT 2024: 5488-5505 - [i13]Parag Jain, Andreea Marzoca, Francesco Piccinno:
Structsum Generation for Faster Text Comprehension. CoRR abs/2401.06837 (2024) - [i12]Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Martin Eisenschlos:
Faithful Chart Summarization with ChaTS-Pi. CoRR abs/2405.19094 (2024) - 2023
- [c14]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. ACL (Findings) 2023: 10381-10399 - [c13]Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. ACL (1) 2023: 12756-12770 - [c12]Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia, Xinyi Wang, Machel Reid, Sebastian Ruder:
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. EMNLP (Findings) 2023: 1978-2008 - [i11]Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia, Xinyi Wang, Machel Reid, Sebastian Ruder:
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. CoRR abs/2305.14224 (2023) - 2022
- [c11]Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun:
Table-To-Text generation and pre-training with TabT5. EMNLP (Findings) 2022: 6758-6766 - [i10]Alice Shoshana Jakobovits, Francesco Piccinno, Yasemin Altun:
What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!? CoRR abs/2203.03431 (2022) - [i9]Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun:
Table-To-Text generation and pre-training with TabT5. CoRR abs/2210.09162 (2022) - [i8]Massimo Nicosia, Francesco Piccinno:
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing. CoRR abs/2212.07223 (2022) - [i7]Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel H. Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. CoRR abs/2212.09662 (2022) - [i6]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. CoRR abs/2212.10505 (2022) - 2021
- [c10]Pierre Marion, Pawel Krzysztof Nowak, Francesco Piccinno:
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. EMNLP (1) 2021: 8813-8829 - [i5]Pierre Marion, Pawel Krzysztof Nowak, Francesco Piccinno:
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. CoRR abs/2109.00269 (2021) - 2020
- [c9]Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos:
TaPas: Weakly Supervised Table Parsing via Pre-training. ACL 2020: 4320-4333 - [i4]Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos:
TAPAS: Weakly Supervised Table Parsing via Pre-training. CoRR abs/2004.02349 (2020)
2010 – 2019
- 2019
- [j1]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
Swat: A system for detecting salient Wikipedia entities in texts. Comput. Intell. 35(4): 858-890 (2019) - [c8]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. ACL (1) 2019: 95-106 - [c7]Thomas Müller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun:
Answering Conversational Questions on Structured Data without Logical Forms. EMNLP/IJCNLP (1) 2019: 5901-5909 - [i3]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. CoRR abs/1905.08407 (2019) - [i2]Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, Yasemin Altun:
Answering Conversational Questions on Structured Data without Logical Forms. CoRR abs/1908.11787 (2019) - 2018
- [i1]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
SWAT: A System for Detecting Salient Wikipedia Entities in Texts. CoRR abs/1804.03580 (2018) - 2017
- [b1]Francesco Piccinno:
Algorithms and data structures for big labeled graphs. University of Pisa, Italy, 2017 - [c6]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
Document Aboutness via Sophisticated Syntactic and Semantic Features. NLDB 2017: 441-453 - 2016
- [c5]Amit Gupta, Francesco Piccinno, Mikhail Kozhevnikov, Marius Pasca, Daniele Pighin:
Revisiting Taxonomy Induction over Wikipedia. COLING 2016: 2300-2309 - 2015
- [c4]Paolo Ferragina, Francesco Piccinno, Roberto Santoro:
On Analyzing Hashtags in Twitter. ICWSM 2015: 110-119 - [c3]Paolo Ferragina, Francesco Piccinno, Rossano Venturini:
Compressed Indexes for String Searching in Labeled Graphs. WWW 2015: 322-332 - [c2]Ricardo Usbeck, Michael Röder, Axel-Cyrille Ngonga Ngomo, Ciro Baron, Andreas Both, Martin Brümmer, Diego Ceccarelli, Marco Cornolti, Didier Cherix, Bernd Eickmann, Paolo Ferragina, Christiane Lemke, Andrea Moro, Roberto Navigli, Francesco Piccinno, Giuseppe Rizzo, Harald Sack, René Speck, Raphaël Troncy, Jörg Waitelonis, Lars Wesemann:
GERBIL: General Entity Annotator Benchmarking Framework. WWW 2015: 1133-1143 - 2014
- [c1]Francesco Piccinno, Paolo Ferragina:
From TagME to WAT: a new entity annotator. ERD@SIGIR 2014: 55-62
Coauthor Index
aka: Julian Eisenschlos
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last updated on 2024-10-04 20:57 CEST by the dblp team
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