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Rocco Tripodi

7 accepted papers

2025

KE-MHISTO: Towards a Multilingual Historical Knowledge Extraction Benchmark for Addressing the Long-Tail Problem

ACL 2025finding

Large Language Models (LLMs) face significant challenges when queried about long-tail knowledge, i.e., information that is rarely encountered during their training process. These difficulties arise due to the inherent sparsity of such data. Furthermore, LLMs often lack the ability to verify or groun…

2024

Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities

COLING 2024main

In this paper, we present an evaluation of two different approaches to the free-form Question Answering (QA) task. The main difference between the two approaches is that one is based on latent representations of knowledge, and the other uses explicit knowledge representation. For the evaluation, we…

Cited by 2SourcePDFScholar
2021

ALaSca: an Automated approach for Large-Scale Lexical Substitution

IJCAI 2021poster

The lexical substitution task aims at finding suitable replacements for words in context. It has proved to be useful in several areas, such as word sense induction and text simplification, as well as in more practical applications such as writing-assistant tools. However, the paucity of annotated d…

2021

GeneSis: A Generative Approach to Substitutes in Context

EMNLP 2021main

The lexical substitution task aims at generating a list of suitable replacements for a target word in context, ideally keeping the meaning of the modified text unchanged. While its usage has increased in recent years, the paucity of annotated data prevents the finetuning of neural models on the task…

2021

Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling

IJCAI 2021poster

Despite the recent great success of the sequence-to-sequence paradigm in Natural Language Processing, the majority of current studies in Semantic Role Labeling (SRL) still frame the problem as a sequence labeling task. In this paper we go against the flow and propose GSRL (Generating Senses and RoL…

2021

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

NAACL 2021long

Graph-based semantic parsing aims to represent textual meaning through directed graphs. As one of the most promising general-purpose meaning representations, these structures and their parsing have gained a significant interest momentum during recent years, with several diverse formalisms being prop…

2021

UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling

EMNLP 2021finding

Multilingual and cross-lingual Semantic Role Labeling (SRL) have recently garnered increasing attention as multilingual text representation techniques have become more effective and widely available. While recent work has attained growing success, results on gold multilingual benchmarks are still no…