About Manuela Speranza

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So far Manuela Speranza has created 22 blog entries.

NLP4AI 2023 Workshop

The NLP4AI 2023 workshop, endorsed by AILC, will take place in Rome on November 6-7, 2023, as an event co-located with the AixiA 2023 conference. The program consists of three discussion sessions, two invitated lectures and a long session of selected articles on Large Language Models which include a round table. As far as the invited speakers are concerned, Raffaella Bernardi (University of Trento) will give a talk on “The interplay between language generation and reasoning: Information Seeking games”, while Christos Christodoulopoulos (Amazon UK) will talk about “Responsible AI in the era of Large Language Models”.

By |2023-11-02T13:29:24+01:002 Nov, 2023|NEWS|

New book by Alessandro Lenci and Magnus Sahlgren published

Authors: Alessandro Lenci and Magnus Sahlgren
Title: Distributional Semantics (Studies in Natural Language Processing)
Editor: Cambridge University Press
Accces to book: here>

Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic contexts. It is at once a theoretical model to express meaning, a practical methodology to construct semantic representations, a computational framework for acquiring meaning from language data, and a cognitive hypothesis about the role of language usage in shaping meaning.

This book aims to build a common understanding of the theoretical and methodological foundations of distributional semantics. Beginning with its historical origins, the text exemplifies how the distributional approach is implemented in distributional semantic models. The main types of computational models, including modern deep learning ones, are described and evaluated, demonstrating how various types of semantic issues are addressed by those models. Open problems and challenges are also analyzed. Students and researchers in natural language processing, artificial intelligence, and cognitive science will appreciate this book.

By |2023-09-28T14:21:34+02:0025 Sep, 2023|NEWS, POP, PUBLICATIONS|

New book by Fabio Tamburini published

Author: Fabio Tamburini
Title: Neural Models for the Automatic Processing of Italian
Editor: Pàtron editore
Access to book: here>

The volume reports the author’s research experiences and experiments in developing solutions in the various areas of Computational Linguistics and Natural Language Processing. The book focuses mainly on applications based on Deep Neural Networks, but contrasting these approaches with the methodologies used in the past, and it is organised in such a way as to both describe the state of the art in this discipline, examining the studies proposed by the author, and to outline a useful path also for the training of young scholars and students. Following the same spirit, the volume can be profitably read both by people more concentrated on humanistic studies and people with more technical interests.

By |2023-09-28T14:33:31+02:0028 Oct, 2022|NEWS, POP, PUBLICATIONS|

New book by Malvina Nissim and Ludovica Pannitto published

Author: Malvina Nissim and Ludovica Pannitto
Title: Che cos’è la linguistica computazionale / What is Computational Linguistics
Editor: Carocci
Access to boook: here>

Commonly used devices, such as virtual assistants and automatic translators, are based on the ability to use and produce language automatically. The key science in the development of such technologies is computational linguistics.

The volume, through the analysis of the most recent theories and methods, offers to interested readers and scholars technical and critical tools to approach the discipline. The understanding of the functioning and limits of language technologies constitutes, in fact, the basis for greater awareness in their daily use, reminding us that we humans are not only the recipients but, by creating linguistic data, also the protagonists of the development process of technologies.

By |2023-09-28T14:31:12+02:001 Aug, 2022|NEWS, POP, PUBLICATIONS|

Computational Linguistics and the COVID-19 Outbreak

This page is maintained by AILC (the Italian Association for Computational Linguistics). It groups some of the initiatives that the Computational Linguistics community is carrying out to contribute to the fight against COVID-19. Everyone is invited to collaborate by reporting new initiatives. Please do so through our contact form.


  • CORD-19 – The Allen Institute COVID-19 Open Research Dataset, a collection of Covid-19 scientific papers, weekly updated (March 2020)
  • Processed CORD-19 – The Allen Institute corpus processed with Sketch Engine (March 2020)
  • 40wita – A dataset of tweets in Italian collected daily by the University of Turi
  • Corona Corpus – A corpus of texts from online newspapers and magazines in 20 different English-speaking countries and part of the English-Corpora.org suite of corpora


Shared Tasks and Events

  • CLEF 2020: CheckThat! Lab Task 1 Tweet Check-Worthiness –The task asks to rank a stream of tweets on a number of topics, including COVID-19, according to their check-worthiness (March 2020)
  • Kaggle Tasks –Several tasks on COVID-19  (March 2020)
  • NLP COVID-19 Workshop an emergency workshop at ACL 2020 – Authors are invited to submit papers related to NLP applied to combat the COVID-19 pandemic (July 2020)
  • TREC-COVID program – Launched by NIST and OSTP, the challenge will follow the TREC assessment process to evaluate search systems, based on the CORD-19 documents


By |2020-05-18T12:47:59+02:002 Apr, 2020|BLOG, HOME, RESOURCES|


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