First CFP: CLiC-it 2024 – Tenth Italian Conference on Computational Linguistics

This year marks the 10th anniversary of the Italian Conference on Computational Linguistics, CLiC-it! To commemorate this milestone, CLiC-it will be hosted in Pisa, just as it was in 2014, from the 4th to the 6th of December.

Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives.

The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian.

Important Dates

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– 15/07/2024: Paper submission deadline: regular papers and research communications

– 23/09/2024: Notification to authors of reviewing/selection outcome

– 21/10/2024: Camera ready version of accepted papers

– 4-6/12/2024: CLiC-it 2024 Conference, Pisa

Conference Chairs

——

– Felice Dell’Orletta (CNR-ILC)

– Alessandro Lenci (Università di Pisa)

– Simonetta Montemagni (CNR-ILC)

– Rachele Sprugnoli (Università di Parma)

Further information

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Conference website: https://clic2024.ilc.cnr.it/ 

Mail: clicit2024@gmail.com 

By |2024-04-08T09:58:44+02:008 Apr, 2024|NEWS|

CLiC-it 2023: updates

The invited speakers of CLiC-it 2023 are David Bamman (UC Berkeley) with a talk entitled “The Promise and Peril of Large Language Models for Cultural Analytics” and Vera Demberg (Saarland University) who will talk about “Pragmatic processing in humans and language models”.
The program comprises 30 oral presentations (including 4 Research Communications), 65 posters (including 16 Research Communications) and the tutorial “Large Language Models and How to Instruction Tune Them (in a Sustainable Way)” held by Danilo Croce and Claudiu Hromei .

By |2023-11-13T15:25:52+01:0013 Nov, 2023|NEWS|

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|

Bid for Lectures on Computational Linguistics 2024

L’Associazione Italiana di Linguistica Computazionale (AILC) sollecita candidature per ospitare
l’edizione 2024 delle “Lectures on Computational Linguistics”.

Le Lectures sono una iniziativa annuale di AILC rivolta alla formazione nel campo della
Linguistica Computazionale, e sono il frutto di una stretta collaborazione con l’alta formazione in
Università, in particolare con le Scuole di Dottorato. Informazioni sul format delle Lectures e
sulle edizioni precedenti sono disponibili qui.
Le sedi che si intendono proporre dovranno presentare un documento contenente le seguenti
informazioni:

  • Gruppo organizzatore locale: indicare le persone coinvolte nell’organizzazione locale
    delle Lectures, inclusa una persona proposta per far parte del Comitato Scientifico delle
    Lectures per due anni; indicare precedenti esperienze dei local organizers
    nell’organizzazione di eventi di formazione.
  • Caratteristiche della Sede: indicare la posizione della sede, numero di sale disponibili
    con la relativa capienza, spazi per sessione poster, presenza di attrezzature audio-video,
    possibilità di pranzo in mensa per i partecipanti.
  • Scuola di dottorato e corsi universitari collegati alla sede: indicare la/le scuole di
    dottorato coinvolte nell’organizzazione, gli eventuali corsi di laurea interessati, e il
    corrispondente numero di studenti potenzialmente interessati alle Lectures.
  • Caratterizzazione scientifica della Sede: indicare la caratterizzazione della sede (sede a
    orientamento umanistico, orientamento informatico o misto); indicare eventualmente
    alcuni temi scientifici che la Sede ospitante intende proporre al Comitato Scientifico delle
    Lectures, nel caso la sede fosse selezionata.
  • Alloggi: indicare la disponibilità di alloggi, in particolare a costi contenuti, per es., se
    presenti, studentati e strutture universitarie di accoglienza.
  • Evento sociale: indicare possibilità e costi per una cena o altro evento sociale.
  • Trasporti: indicare i collegamenti (aereo, treni) per raggiungere la sede; mezzi di
    trasporto urbani con i tempi per raggiungere la sede.
  • Budget: indicare i costi stimati relativi alle sale, i costi della mensa, e eventuali altri costi
    fissi richiesti dalla sede ospitante.
  • Sponsorizzazioni: indicare eventuali sponsorizzazioni da parte di istituzioni universitarie
    (dipartimento, scuola di dottorato).
  • Date: indicare le date possibili delle Lectures (tre giorni) nel periodo maggio-giugno 2024.

La selezione della sede ospitante verrà effettuata, in seduta congiunta, dal Comitato Scientifico
delle Lectures e dal Consiglio Direttivo AILC.
Le candidature dovranno essere inviate per posta elettronica al Presidente AILC (Simonetta Montemagni – simonetta.montemagni@ilc.cnr.it) e al Coordinatore del Comitato Scientifico delle Lectures (Elisabetta
Jezek – jezek@unipv.it) entro il giorno 15 ottobrebre 2023.

Contatti: Simonetta Montemagni (simonetta.montemagni@ilc.cnr.it) e Elisabetta Jezek (jezek@unipv.it)

By |2023-09-28T14:05:56+02:0026 Sep, 2023|BLOG, EDUCATION, 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|

Debora Nozza awarded with an ERC Starting Grant

We are glad to announce that Debora Nozza has been awarded an ERC Starting Grant for her project PERSONAE: congratulations!

PERSONAE will investigate subjective tasks from the individual’s point of view, designing language technologies that can be adapted by individuals at will over time. It will focus on making individual users active actors in the creation of these technologies rather than mere recipients. This will enable a much more tailored, effective approach to NLP model design, resulting in better models that are also accessible and valuable to everyone.

By |2023-09-09T22:41:43+02:009 Sep, 2023|NEWS|

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