|  | Vol-3551 urn:nbn:de:0074-3551-3 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# NL4AI 2023
Seventh Workshop on Natural Language for Artificial Intelligence

### Proceedings of the Seventh Workshop on Natural Language for Artificial Intelligence (NL4AI 2023)
co-located with 22th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023)

### Rome, Italy, November 6th-7th, 2023.

Edited by

### Elisa Bassignana *
Dominique Brunato **
Marco Polignano ***
Alan Ramponi ****

* IT University of Copenhagen, Denmark
** Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy
*** Università degli Studi di Bari Aldo Moro, Italy
**** Fondazione Bruno Kessler, Italy

## Table of Contents

- Preface
  Summary: There were 23 papers submitted for peer-review, 18 papers were accepted for this volume, 14 as regular papers and 4 as short papers.
- NL4AI 2023: Overview of the Seventh Workshop on Natural Language for Artificial Intelligence (NL4AI 2023)
  Elisa Bassignana, Dominique Brunato, Marco Polignano, Alan Ramponi

### Keynote Talk

- The Interplay Between Language Generation and Reasoning: Information Seeking Games
  Raffaella Bernardi
- Responsible AI in the Era of Large Language Models
  Christos Christodoulopoulos

### Novel directions of NLP

- Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation
  Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
- Experimenting Task-specific LLMs (short paper)
  Stefano Scotta, Alberto Messina
- Natural Language Processing in Healthcare: A Bird's Eye View (short paper)
  Luca Baccoand, Felice Dell'Orletta, Mario Merone
- NERPII: A Python Library to Perform Named Entity Recognition and Generate Personal Identifiable Information (short paper)
  Simona Mazzarino, Andrea Minieri, Luca Gilli

### Authorship, sentiment, and ideology in NLP

- Detecting AI Authorship: Analyzing Descriptive Features for AI Detection
  Helene F. L. Eriksen, Christopher M. J. André, Emil J. Jakobsen, Luca C. B. Mingolla, Nicolai B. Thomsen
- Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis
  Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger
- Evaluating the Aspect-Category-Opinion-Sentiment Analysis Task on a Custom Dataset (short paper)
  Loris Di Quilio, Fabio Fioravanti
- Measuring Ideological Spectrum Through NLP
  Franco Demarco, Juan Manuel Ortiz de Zarate, Esteban Feuerstein
- From Looks to Essence: A Shift in Perspective With Physical Appearance Debiasing
  Shivatmica Murgai
- Navigating the Fermi Multiverse: Assessing LLMs for Complex Multi-hop Queries
  Mostafa Rahgouy, Hamed Babaei Giglou, Dongji Feng, Taher Rahgooy, Gerry Dozier, Cheryl D. Seals

### Applied NLP

- Do We Need Subject Matter Experts? A Case Study of Measuring Up GPT-4 Against Scholars in Topic Evaluation
  Kabir Manandhar Shrestha, Katie Wood, David Goodman, Meladel Mistica
- LLM-based Approaches for Automatic Ticket Assignment: A Real-world Italian Application
  Nicola Arici, Luca Putelli, Alfonso Emilio Gerevini, Luca Sigalini, Ivan Serina
- Mining Information From Legal Sentences in KlonDikE
  Andrea Gatti, Viviana Mascardi, Domenico Pellegrini
- Misunderstanding and Risk Communication in Healthcare
  Monica Consolandi, Simone Magnolini, Mauro Dragoni

### Large Language Models - Selected Papers

- An End-to-end Transformer-based Model for Interactive Grounded Language Understanding
  Claudiu Daniel Hromei, Daniele Margiotta, Danilo Croce, Roberto Basili
- Conditioning Chat-GPT for Information Retrieval: The Unipa-GPT Case Study
  Irene Siragusa, Roberto Pirrone
- BERTinchamps: Cost-effective Training of Large Language Models for Medical Tasks in French
  Amaury Fierens, Sébastien Jodogne
- One Picture and a Thousand Words. Generative Language+images Models and How to Train Them
  Roberto Zamparelli

2023-11-14: submitted by Marco Polignano, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|