Deep learning-based recommender systems have become an integral part of several online platforms. However, their black-box nature emphasizes the need for explainable artificial intelligence (XAI) approaches to provide human-understandable reasons why a specific item gets recommended to a given user...
04b Atto di convegno in volume
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Industry 4.0 refers to the last revolution involving the manufacturing domain. Particularly, it is characterized by the introduction of innovative technologies and systems able to establish a high level of digitization. The adoption of these technologies is crucial to the development of more...
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In this paper, we explore how Knowledge Graphs (KGs) can potentially benefit Record Linkage (RL). RL is the process of identifying and resolving duplicate records across different data sources, including structured, semi-structured, and unstructured data (e.g, in data lakes). RL is a critical task...
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In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks such as SuperGLUE and SQuAD to measure their abilities in language understanding, reasoning, and reading comprehension....
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In this paper, we present our approach to the task of identification of persuasion techniques in text, which is a subtask of the SemEval-2023 Task 3 on the multilingual detection of genre, framing, and persuasion techniques in online news. The subtask is multi-label at the paragraph level and the...
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In recent years, research in text summarization has mainly focused on the news domain, where texts are typically short and have strong layout features. The task of full-book summarization presents additional challenges which are hard to tackle with current resources, due to their limited size and...
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Local models have recently attained astounding performances in Entity Disambiguation (ED), with generative and extractive formulations being the most promising research directions. However, previous works have so far limited their studies to using, as the textual representation of each candidate,...
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Relation Extraction (RE) is a task that identifies relationships between entities in a text, enabling the acquisition of relational facts and bridging the gap between natural language and structured knowledge. However, current RE models often rely on small datasets with low coverage of relation...
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Blockchain is a shared, immutable distributed ledger that facilitates the process of recording transactions and tracking assets in a business network. The paper discusses the BinTraWine project, which aims to develop a blockchain-based platform that can offer simultaneous and shared management of...
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Industry 4.0 refers to the last revolution involving the manufacturing domain. Particularly, it is characterized by the introduction of innovative technologies and systems able to establish a high level of digitization. The adoption of these technologies is crucial to the development of more...