Stefano Montanelli
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View article: Incremental Affinity Propagation Based on Cluster Consolidation and Stratification
Incremental Affinity Propagation Based on Cluster Consolidation and Stratification Open
Modern data mining applications require to perform incremental clustering over dynamic datasets by tracing temporal changes over the resulting clusters. In this paper, we propose A-Posteriori affinity Propagation (APP), an incremental exte…
View article: Streamlining Legal Document Management: A Knowledge-Driven Service Platform
Streamlining Legal Document Management: A Knowledge-Driven Service Platform Open
Managing legal documents, particularly court judgments, can pose a significant challenge due to the extensive and continuously growing volume of involved data. The IDJ platform proposed in this paper aims to tackle this challenge by provid…
View article: The Atlas of Data Science Research
The Atlas of Data Science Research Open
The origin and evolution of Data Science (DS) have been a subject of ongoing debate, with perspectives varying across disciplines. Understanding the development of this field requires a data-driven approach that systematically analyzes the…
View article: Studying word meaning evolution through incremental semantic shift detection
Studying word meaning evolution through incremental semantic shift detection Open
View article: A proposal for the development of a feed consumption database using a standardised feed classification system
A proposal for the development of a feed consumption database using a standardised feed classification system Open
There is currently no comprehensive feed consumption database using a harmonised feed classification system. This means there is a lack of accurate information on the individual amount of feed consumed daily by farmed and companion animals…
View article: Lexical Semantic Change through Large Language Models: a Survey
Lexical Semantic Change through Large Language Models: a Survey Open
Lexical Semantic Change (LSC) is the task of identifying, interpreting, and assessing the possible change over time in the meanings of a target word. Traditionally, LSC has been addressed by linguists and social scientists through manual a…
View article: Incremental Affinity Propagation based on Cluster Consolidation and Stratification
Incremental Affinity Propagation based on Cluster Consolidation and Stratification Open
Modern data mining applications require to perform incremental clustering over dynamic datasets by tracing temporal changes over the resulting clusters. In this paper, we propose A-Posteriori affinity Propagation (APP), an incremental exte…
View article: TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse Open
View article: The Gender Gap in Issue Attention and Language Use within a Legislative Setting: An Application to the Italian Parliament (1948–2020)
The Gender Gap in Issue Attention and Language Use within a Legislative Setting: An Application to the Italian Parliament (1948–2020) Open
We investigate the gender gap in issue attention among members of parliament (MPs) by applying automated text analytic techniques to a novel data set on Italian parliamentary speeches over a remarkably long period (1948–2020). We detect a …
View article: Enforcing legal information extraction through context-aware techniques: The ASKE approach
Enforcing legal information extraction through context-aware techniques: The ASKE approach Open
View article: Studying Word Meaning Evolution through Incremental Semantic Shift Detection: A Case Study of Italian Parliamentary Speeches
Studying Word Meaning Evolution through Incremental Semantic Shift Detection: A Case Study of Italian Parliamentary Speeches Open
The study of semantic shifts, that is, of how words change meaning as a consequence of social practices, events and political circumstances, is relevant in Natural Language Processing, Linguistics, and Social Sciences. The increasing avail…
View article: Studying Word Meaning Evolution through Incremental Semantic Shift Detection: A Case Study of Italian Parliamentary Speeches
Studying Word Meaning Evolution through Incremental Semantic Shift Detection: A Case Study of Italian Parliamentary Speeches Open
The study of semantic shifts, that is, of how words change meaning as a consequence of social practices, events and political circumstances, is relevant in Natural Language Processing, Linguistics, and Social Sciences. The increasing avail…
View article: Participatory Citizen Curation in the VAST Project Framework
Participatory Citizen Curation in the VAST Project Framework Open
In this paper, we present a participatory approach to citizen curation developed in the framework of the EU H2020 VAST (Values Across Space and Time) project. VAST focuses on the transformation of values across space and time, with particu…
View article: Fairy Tales as a Card Game: Engaging Digital Audiences in Value-Centred Discourses using Storytelling
Fairy Tales as a Card Game: Engaging Digital Audiences in Value-Centred Discourses using Storytelling Open
Casual games are an established way to engage online audiences in topics that otherwise might be less accessible, which makes them an ideal tool for collective reflections around cultural heritage. The VAST project studies the transformati…
View article: A Survey on Contextualised Semantic Shift Detection
A Survey on Contextualised Semantic Shift Detection Open
Semantic Shift Detection (SSD) is the task of identifying, interpreting, and assessing the possible change over time in the meanings of a target word. Traditionally, SSD has been addressed by linguists and social scientists through manual …
View article: A Systematic Literature Review of Online Collaborative Story Writing
A Systematic Literature Review of Online Collaborative Story Writing Open
View article: What is Done is Done: an Incremental Approach to Semantic Shift Detection
What is Done is Done: an Incremental Approach to Semantic Shift Detection Open
Contextual word embedding techniques for semantic shift detection are receiving more and more attention. In this paper, we present What is Done is Done (WiDiD), an incremental approach to semantic shift detection based on incremental clust…
View article: Topic-Driven Detection and Analysis of Scholarly Data
Topic-Driven Detection and Analysis of Scholarly Data Open
View article: A Computational History Approach to Interpretation and Analysis of Moral European Values: the VAST Research Project
A Computational History Approach to Interpretation and Analysis of Moral European Values: the VAST Research Project Open
The rapid development and diffusion of artificial intelligence and data science techniques enable research in the field of humanities and social sciences to become more and more computational. In this paper, we present the computational hi…
View article: From Digital to Computational Humanities: The VAST Project Vision
From Digital to Computational Humanities: The VAST Project Vision Open
In the shift from Digital to Computational Humanities, the role of artificial intelligence, data scienceand digital technologies is fundamental to achieve advances and results. As a concrete example ofComputational Humanities Research, we …
View article: A Bootstrapping Approach for Semi-Automated Legal Knowledge Extraction and Enrichment.
A Bootstrapping Approach for Semi-Automated Legal Knowledge Extraction and Enrichment. Open
View article: Crowd-assessing quality in uncertain data linking datasets
Crowd-assessing quality in uncertain data linking datasets Open
The quality of a dataset used for evaluating data linking methods, techniques, and tools depends on the availability of a set of mappings, called reference alignment , that is known to be correct. In particular, it is crucial that mappings…
View article: The LATO Knowledge Model for Automated Knowledge Extraction and Enrichment from Court Decisions Corpora.
The LATO Knowledge Model for Automated Knowledge Extraction and Enrichment from Court Decisions Corpora. Open
View article: Results of the Ontology Alignment Evaluation Initiative 2019
Results of the Ontology Alignment Evaluation Initiative 2019 Open
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple thesauri to express…
View article: The CRIKE Data-Science Process for Legal Knowledge Extraction.
The CRIKE Data-Science Process for Legal Knowledge Extraction. Open
View article: Law Data Science and Ethics: the CRIKE Approach
Law Data Science and Ethics: the CRIKE Approach Open
View article: SABINE: A Multi-purpose Dataset of Semantically-Annotated Social Content
SABINE: A Multi-purpose Dataset of Semantically-Annotated Social Content Open
View article: Results of the ontology alignment evaluation initiative 2017
Results of the ontology alignment evaluation initiative 2017 Open
Ontology matching consists of finding correspondences between semantically related entities of different ontologies. The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test …
View article: Unsupervised Detection of Argumentative Units though Topic Modeling Techniques
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques Open
Publication in the conference proceedings of SampTA, Bremen, Germany, 2013
View article: Exploratory analysis of textual data streams
Exploratory analysis of textual data streams Open