Search Results for author: Alessio Palmero Aprosio

Found 14 papers, 4 papers with code

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement

1 code implementation EMNLP 2021 Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli

Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media.

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement

no code implementations28 Sep 2021 Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli

Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media.

Erase and Rewind: Manual Correction of NLP Output through a Web Interface

no code implementations ACL 2021 Valentino Frasnelli, Lorenzo Bocchi, Alessio Palmero Aprosio

In this paper, we present Tintful, an NLP annotation software that can be used both to manually annotate texts and to fix mistakes in NLP pipelines, such as Stanford CoreNLP.

EasyTurk: A User-Friendly Interface for High-Quality Linguistic Annotation with Amazon Mechanical Turk

no code implementations EACL 2021 Lorenzo Bocchi, Valentino Frasnelli, Alessio Palmero Aprosio

Amazon Mechanical Turk (AMT) has recently become one of the most popular crowd-sourcing platforms, allowing researchers from all over the world to create linguistic datasets quickly and at a relatively low cost.

Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection

1 code implementation27 Mar 2021 Stefano Menini, Alessio Palmero Aprosio, Sara Tonelli

We first re-annotate part of a widely used dataset for abusive language detection in English in two conditions, i. e. with and without context.

Abusive Language Classification +1

Creating a Multimodal Dataset of Images and Text to Study Abusive Language

no code implementations5 May 2020 Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli

We find that users judge the same images in different ways, although the presence of a person in the picture increases the probability to get an offensive comment.

Abusive Language

Adding Gesture, Posture and Facial Displays to the PoliModal Corpus of Political Interviews

no code implementations LREC 2020 Daniela Trotta, Alessio Palmero Aprosio, Sara Tonelli, Annibale Elia

This paper introduces a multimodal corpus in the political domain, which on top of transcribed face-to-face interviews presents the annotation of facial displays, hand gestures and body posture.

Neural Text Simplification in Low-Resource Conditions Using Weak Supervision

no code implementations WS 2019 Alessio Palmero Aprosio, Sara Tonelli, Marco Turchi, Matteo Negri, Mattia A. Di Gangi

Inspired by the machine translation field, in which synthetic parallel pairs generated from monolingual data yield significant improvements to neural models, in this paper we exploit large amounts of heterogeneous data to automatically select simple sentences, which are then used to create synthetic simplification pairs.

Machine Translation Text Simplification +2

MUSST: A Multilingual Syntactic Simplification Tool

no code implementations IJCNLP 2017 Carolina Scarton, Alessio Palmero Aprosio, Sara Tonelli, Tamara Mart{\'\i}n Wanton, Lucia Specia

Our implementation includes a set of general-purpose simplification rules, as well as a sentence selection module (to select sentences to be simplified) and a confidence model (to select only promising simplifications).

Lexical Simplification Text Simplification

On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning

no code implementations1 Dec 2016 Stefano Borgo, Loris Bozzato, Alessio Palmero Aprosio, Marco Rospocher, Luciano Serafini

Systems for automatic extraction of semantic information about events from large textual resources are now available: these tools are capable to generate RDF datasets about text extracted events and this knowledge can be used to reason over the recognized events.

Italy goes to Stanford: a collection of CoreNLP modules for Italian

1 code implementation20 Sep 2016 Alessio Palmero Aprosio, Giovanni Moretti

In this we paper present Tint, an easy-to-use set of fast, accurate and extendable Natural Language Processing modules for Italian.

PreMOn: a Lemon Extension for Exposing Predicate Models as Linked Data

no code implementations LREC 2016 Francesco Corcoglioniti, Marco Rospocher, Alessio Palmero Aprosio, Sara Tonelli

We introduce PreMOn (predicate model for ontologies), a linguistic resource for exposing predicate models (PropBank, NomBank, VerbNet, and FrameNet) and mappings between them (e. g, SemLink) as Linked Open Data.

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