Search Results for author: Tommaso Caselli

Found 44 papers, 9 papers with code

DALC: the Dutch Abusive Language Corpus

1 code implementation ACL (WOAH) 2021 Tommaso Caselli, Arjan Schelhaas, Marieke Weultjes, Folkert Leistra, Hylke van der Veen, Gerben Timmerman, Malvina Nissim

As socially unacceptable language become pervasive in social media platforms, the need for automatic content moderation become more pressing.

Abusive Language Classification

A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19

no code implementations EMNLP (NLLP) 2021 Georgios Tziafas, Eugenie de Saint-Phalle, Wietse de Vries, Clara Egger, Tommaso Caselli

The COVID-19 pandemic has witnessed the implementations of exceptional measures by governments across the world to counteract its impact.

PROTEST-ER: Retraining BERT for Protest Event Extraction

no code implementations ACL (CASE) 2021 Tommaso Caselli, Osman Mutlu, Angelo Basile, Ali Hürriyetoğlu

We analyze the effect of further retraining BERT with different domain specific data as an unsupervised domain adaptation strategy for event extraction.

Event Extraction Unsupervised Domain Adaptation

Guiding Principles for Participatory Design-inspired Natural Language Processing

no code implementations ACL (NLP4PosImpact) 2021 Tommaso Caselli, Roberto Cibin, Costanza Conforti, Enrique Encinas, Maurizio Teli

We introduce 9 guiding principles to integrate Participatory Design (PD) methods in the development of Natural Language Processing (NLP) systems.

Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic

no code implementations COLING (PEOPLES) 2020 Boris Marinov, Jennifer Spenader, Tommaso Caselli

The paper focuses on a large collection of Dutch tweets from the Netherlands to get an insight into the perception and reactions of users during the early months of the COVID-19 pandemic.

SOCIOFILLMORE: A Tool for Discovering Perspectives

no code implementations ACL 2022 Gosse Minnema, Sara Gemelli, Chiara Zanchi, Tommaso Caselli, Malvina Nissim

SOCIOFILLMORE is a multilingual tool which helps to bring to the fore the focus or the perspective that a text expresses in depicting an event.


Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

1 code implementation NAACL (NLP4IF) 2021 Giorgos Tziafas, Konstantinos Kogkalidis, Tommaso Caselli

This paper describes the TOKOFOU system, an ensemble model for misinformation detection tasks based on six different transformer-based pre-trained encoders, implemented in the context of the COVID-19 Infodemic Shared Task for English.


Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing

no code implementations LREC 2020 Rob van der Goot, Alan Ramponi, Tommaso Caselli, Michele Cafagna, Lorenzo De Mattei

However, for Italian, there is no benchmark available for lexical normalization, despite the presence of many benchmarks for other tasks involving social media data.

Dependency Parsing Lexical Normalization

Lower Bias, Higher Density Abusive Language Datasets: A Recipe

no code implementations LREC 2020 Juliet van Rosendaal, Tommaso Caselli, Malvina Nissim

Strategies used until now to increase density of abusive language and obtain more meaningful data overall, include data filtering on the basis of pre-selected keywords and hate-rich sources of data.

Abusive Language

BERTje: A Dutch BERT Model

2 code implementations19 Dec 2019 Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim

The transformer-based pre-trained language model BERT has helped to improve state-of-the-art performance on many natural language processing (NLP) tasks.

Language Modelling Named Entity Recognition +3

Italian Event Detection Goes Deep Learning

1 code implementation4 Oct 2018 Tommaso Caselli

This paper reports on a set of experiments with different word embeddings to initialize a state-of-the-art Bi-LSTM-CRF network for event detection and classification in Italian, following the EVENTI evaluation exercise.

Classification Event Detection +2

Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation

1 code implementation COLING 2018 Tommaso Caselli, Oana Inel

This paper describes a crowdsourcing experiment on the annotation of plot-like structures in English news articles.

The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction

no code implementations WS 2017 Tommaso Caselli, Piek Vossen

This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for the temporal and causal relation detection.

Natural Language Inference Question Answering +1

The Circumstantial Event Ontology (CEO)

no code implementations WS 2017 Roxane Segers, Tommaso Caselli, Piek Vossen

In this paper we describe the ongoing work on the Circumstantial Event Ontology (CEO), a newly developed ontology for calamity events that models semantic circumstantial relations between event classes.

The Content Types Dataset: a New Resource to Explore Semantic and Functional Characteristics of Texts

no code implementations EACL 2017 Rachele Sprugnoli, Tommaso Caselli, Sara Tonelli, Giovanni Moretti

This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles.

Classification General Classification +1

Crowdsourcing Salient Information from News and Tweets

no code implementations LREC 2016 Oana Inel, Tommaso Caselli, Lora Aroyo

On the other hand, machines need to understand the information that is published in online data streams and generate concise and meaningful overviews.

Temporal Information Annotation: Crowd vs. Experts

no code implementations LREC 2016 Tommaso Caselli, Rachele Sprugnoli, Oana Inel

This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i. e., English and Italian.

General Classification

GRaSP: A Multilayered Annotation Scheme for Perspectives

no code implementations LREC 2016 Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen

In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives.

NLP and Public Engagement: The Case of the Italian School Reform

no code implementations LREC 2016 Tommaso Caselli, Giovanni Moretti, Rachele Sprugnoli, Sara Tonelli, Damien Lanfrey, Donatella Solda Kutzmann

In this paper we present PIERINO (PIattaforma per l{'}Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens{'} comments given in {\#}labuonascuola survey.

Enriching the ``Senso Comune'' Platform with Automatically Acquired Data

no code implementations LREC 2014 Tommaso Caselli, Laure Vieu, Carlo Strapparava, Guido Vetere

This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform.

Assigning Connotation Values to Events

no code implementations LREC 2012 Tommaso Caselli, Irene Russo, Francesco Rubino

Sentiment Analysis (SA) and Opinion Mining (OM) have become a popular task in recent years in NLP with the development of language resources, corpora and annotation schemes.

Opinion Mining Sentiment Analysis +1

Customizable SCF Acquisition in Italian

no code implementations LREC 2012 Tommaso Caselli, Francesco Rubino, Francesca Frontini, Irene Russo, Valeria Quochi

In addition to this, we assigned to the extracted entries of the lexicon a confidence score based on the relative frequency and evaluated the extractor on domain specific data.

Dependency Parsing Information Retrieval +1

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