Data scarcity is a prevalent challenge in the era of Large Language Models (LLMs). The insatiable hunger of LLMs for large corpora becomes even more pronounced when dealing with non-English and low-resource languages. The issue is particularly exacerbated in Semantic Parsing (SP), i.e. the task of...
04b Atto di convegno in volume
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Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in Natural Language Processing, serving as critical components in a wide range of applications. In this paper, we propose ReLiK, a Retriever-Reader architecture for both EL and RE, where, given an input text, the Retriever...
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Several Natural Language Understanding (NLU) tasks focus on linking text to explicit knowledge, including Word Sense Disambiguation, Semantic Role Labeling, Semantic Parsing, and Relation Extraction. In addition to the importance of connecting raw text with explicit knowledge bases, the integration...
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Recent advancements in text summarization, particularly with the advent of Large Language Models (LLMs), have shown remarkable performance. However, a notable challenge persists as a substantial number of automatically-generated summaries exhibit factual inconsistencies, such as hallucinations. In...
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Despite significant advances in Semantic Role Labeling (SRL), much work in this field has been carried out with a focus on verbal predicates, with the research on nominal SRL lagging behind. In many contexts, however, nominal predicates are often as informative as verbal ones, thus needing proper...
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Current Large Language Models (LLMs) have shown strong reasoning capabilities in commonsense question answering benchmarks, but the process underlying their success remains largely opaque. As a consequence, recent approaches have equipped LLMs with mechanisms for knowledge retrieval, reasoning and...
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Recent Large Language Models (LLMs) have shown impressive performance in addressing complex aspects of human language. These models have also demonstrated significant capabilities in processing and generating Italian text, achieving state-ofthe-art results on current benchmarks for the Italian...
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Dependency-based Semantic Role Labeling (SRL) is bound to dependency parsing, as the arguments of a predicate are identified through the token that heads the dependency relation subtree of the argument span. However, dependency-based SRL corpora are susceptible to the dissociated nucleus problem:...
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The growing interest in Large Language Models (LLMs) has accelerated research efforts to adapt these models for various languages. Despite this, pretraining LLMs from scratch for non-English languages remains underexplored. This is the case for Italian, where no truly open-source research has...
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In the scope of Industry 4.0, this paper showcases the design and implementation of a context-aware decision-making framework that simulates the production planning of manufacturing activities by incorporating techniques from Process Mining, Business Process Simulation, and Visual Analytics. The...