most citedA Large-Scale Multilingual Disambiguation of Glosses

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022

Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures

Simone Conia, Edoardo Barba, Alessandro Scirè +1

One of the common traits of past and present approaches for Semantic Role Labeling (SRL) is that they rely upon discrete labels drawn from a predefined linguistic inventory to clas…

cs.CL2022

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation

Sedrick Scott Keh, Rohit K. Bharadwaj, Emmy Liu +3

We introduce EUREKA, an ensemble-based approach for performing automatic euphemism detection. We (1) identify and correct potentially mislabelled rows in the dataset, (2) curate an…

cs.CL2022

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation

Vera Provatorova, Simone Tedeschi, Svitlana Vakulenko +2

Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base. Previous research showed that entity oversh…

cs.CL20221 cited

Entity Disambiguation with Entity Definitions

Luigi Procopio, Simone Conia, Edoardo Barba +1

Local models have recently attained astounding performances in Entity Disambiguation (ED), with generative and extractive formulations being the most promising research directions.…

cs.CL20163 cited

A Large-Scale Multilingual Disambiguation of Glosses

José Camacho Collados, Claudio Delli Bovi, Alessandro Raganato +1

Linking concepts and named entities to knowledge bases has become a crucial Natural Language Understanding task. In this respect, recent works have shown the key advantage of explo…

cs.CL2016

Semantic Representations of Word Senses and Concepts

José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli +1

Representing the semantics of linguistic items in a machine-interpretable form has been a major goal of Natural Language Processing since its earliest days. Among the range of diff…