![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
NL4AI@AI*IA 2023: Rome, Italy
- Elisa Bassignana, Dominique Brunato, Marco Polignano, Alan Ramponi:
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. CEUR Workshop Proceedings 3551, CEUR-WS.org 2023
Novel directions of NLP
- Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation. - Stefano Scotta, Alberto Messina:
Experimenting Task-specific LLMs (short paper). - Luca Bacco, Felice Dell'Orletta, Mario Merone:
Natural Language Processing in Healthcare: A Bird's Eye View (short paper). - Simona Mazzarino, Andrea Minieri, Luca Gilli:
NERPII: A Python Library to Perform Named Entity Recognition and Generate Personal Identifiable Information (short paper).
Authorship, sentiment, and ideology in NLP
- Helene F. L. Eriksen, Christopher M. J. André, Emil J. Jakobsen, Luca C. B. Mingolla, Nicolai B. Thomsen:
Detecting AI Authorship: Analyzing Descriptive Features for AI Detection. - Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger:
Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis. - Loris Di Quilio, Fabio Fioravanti:
Evaluating the Aspect-Category-Opinion-Sentiment Analysis Task on a Custom Dataset (short paper). - Franco Demarco, Juan Manuel Ortiz de Zarate, Esteban Feuerstein:
Measuring Ideological Spectrum Through NLP. - Shivatmica Murgai:
From Looks to Essence: A Shift in Perspective With Physical Appearance Debiasing. - Mostafa Rahgouy, Hamed Babaei Giglou, Dongji Feng, Taher Rahgooy, Gerry V. Dozier, Cheryl D. Seals:
Navigating the Fermi Multiverse: Assessing LLMs for Complex Multi-hop Queries.
Applied NLP
- Kabir Manandhar Shrestha, Katie Wood, David Goodman, Meladel Mistica:
Do We Need Subject Matter Experts? A Case Study of Measuring Up GPT-4 Against Scholars in Topic Evaluation. - Nicola Arici, Luca Putelli, Alfonso Emilio Gerevini, Luca Sigalini, Ivan Serina:
LLM-based Approaches for Automatic Ticket Assignment: A Real-world Italian Application. - Andrea Gatti, Viviana Mascardi, Domenico Pellegrini:
Mining Information From Legal Sentences in KlonDikE. - Monica Consolandi, Simone Magnolini, Mauro Dragoni:
Misunderstanding and Risk Communication in Healthcare.
Large Language Models - Selected Papers
- Claudiu Daniel Hromei, Daniele Margiotta, Danilo Croce, Roberto Basili:
An End-to-end Transformer-based Model for Interactive Grounded Language Understanding. - Irene Siragusa, Roberto Pirrone:
Conditioning Chat-GPT for Information Retrieval: The Unipa-GPT Case Study. - Amaury Fierens, Sébastien Jodogne:
BERTinchamps: Cost-effective Training of Large Language Models for Medical Tasks in French. - Roberto Zamparelli:
One Picture and a Thousand Words. Generative Language+images Models and How to Train Them.
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.