6th Workshop on Natural Language for Artificial Intelligence (NL4AI)

**** CALL FOR PARTICIPATION ****

*6th Workshop on Natural Language for Artificial Intelligence*(*NL4AI 2022*)

/at the 20th International Conference of the Italian Association for 
Artificial Intelligence/

*Udine*,*Italy,*  November 30th, 2022

Website: http://sag.art.uniroma2.it/NL4AI/ 
<http://sag.art.uniroma2.it/NL4AI/>

**** BACKGROUND ****

Natural Language Processing research plays a relevant role in current 
AI, as the target of different scientific and industrial interests. 
Natural Language is at the crossroad of Learning, Knowledge 
Representation, and Cognitive Modeling. Several recent AI achievements 
have repeatedly shown their beneficial impact on complex inference 
tasks, with huge application perspectives in linguistic modeling, 
processing and inferences. However, Natural Language Understanding is 
still a rich research topic, whose cross-fertilization spans a number of 
independent areas such as Cognitive Computing, Robotics as well as 
Human-Computer Interaction. For AI, Natural Languages are either the 
research focus of paradigms and applications but, at the same time, they 
act as cornerstones of automation, autonomy and learnability for most 
intelligent phenomena ranging from Vision to Planning and Social 
Behaviors. A reflection about such diverse and promising interactions is 
an important target for current AI studies, fully in the core mission of 
AI*IA. This workshop, supported by the Special Interest Group on NLP of 
AI*IA <https://www.aixia.it/>and AILC <https://www.ai-lc.it/>aims at 
providing a broad overview of recent activities in the eld of Human 
Language Technologies (HLT) in Italy.

**** INVITED SPEAKERS (remote talks) ****

*Fabio Petroni (Co-Founder & CTO at Samaya AI) - “Improving Wikipedia 
Verifiability with AI”*

Verifiability is a core content policy of Wikipedia: claims that are 
likely to be challenged need to be backed by citations. There are 
millions of articles available online and thousands of new articles are 
released each month. For this reason, finding relevant sources is a 
difficult task: many claims do not have any references that support 
them. Furthermore, even existing citations might not support a given 
claim or become obsolete once the original source is updated or deleted. 
Hence, maintaining and improving  the quality of Wikipedia references is 
an important challenge and there is a pressing need for better tools to 
assist humans in this effort. In the talk, I’ll present our recent 
research showing that the process of improving references can be tackled 
with the help of AI. Our results indicate that an AI-based system could 
be used, in tandem with humans, to improve the verifiability of 
Wikipedia. More generally, we hope that our work can be used to assist 
fact-checking efforts and increase the general trustworthiness of 
information online. Fabio Petroni is Co-Founder & CTO at Samaya AI, 
building an AI-powered knowledge-discovery platform. Before that he was 
a Researcher at FAIR and Thomson Reuters, focusing on representing, 
gathering, extracting, using, reasoning on and creating world knowledge 
using AI.

*Giuseppe Attardi (Professor at the University of Pisa, Italy - MISE AI 
Expert)*

The concluding speech will touch relevant topics about the general trend 
and future challenges in the correlation between NLP and AI. Giuseppe 
Attardi is a professor of Computer Science at the University of Pisa. He 
previously worked at MIT's AI Lab, Sony Paris Research Laboratory, ICSI 
Berkeley, and Yahoo Research Barcelona. He developed Omega, a precursor 
to ontology languages for the Web; CMM, the garbage collector used in 
Java; and DeSR, a grammar analyzer for several languages. He 
participated in the development of Arianna, the first Italian search 
engine, and iStella. He is the founder or partner of several startups, 
in Italy and Spain. He was involved in the implementation of the fiber 
optic networks of the JRC in Ispra, the University of Pisa, and the GARR 
national research network. He has promoted Internet deployment in Italy 
through the No TUT campaign to reduce network access costs. The main 
goal of his current research is to make computers capable of 
understanding human language, using Deep Learning techniques.

**** REGISTRATION AND ATTENDANCE ****

The registration to this Workshop requires to be registered to the main 
Conference (AIxIA 2022).

Detailed information can be found at: https://aixia2022.uniud.it 
<https://aixia2022.uniud.it>

**** PROGRAM ****

*November 30th, 2022 - 10:00-18:00 (CET)*

10:00-10:15/Opening/

10:15-10:45*Session 1: Multimodal NLP*

10:45-11:15/Coffee break/

11:15-12:00*Invited Talk: Fabio Petroni*

12:00-13:00*Session 2: Applied NLP*

13:00-14:00/Lunch break/

14:00-14:40*Session 3: Best papers *

14:40-15:00/Short break/

15:00-15:45*Session 4: NLP and Structured Languages*

15:45-16:15/Coffee break/

16:15-17:00*Session 5: Challenges in NLP*

17:00-17:45*Invited Talk: Giuseppe Attardi*

17:45-18:00/Closing remarks/

The detailed program is available online: 
http://sag.art.uniroma2.it/NL4AI/workshop-program-2022/ 
<http://sag.art.uniroma2.it/NL4AI/workshop-program-2022/>

**** WORKSHOP ORGANIZERS ****

/Debora Nozza, Bocconi University, Italy/

/Lucia Passaro, University of Pisa, Italy/

/Marco Polignano, University of Bari Aldo Moro, Italy/