10 citations · 11 across the 4 of their papers we have counts for
5 papers
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…
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…
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.…
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
Tommaso Pasini, Francesco Maria Elia, Roberto Navigli
We release to the community six large-scale sense-annotated datasets in multiple language to pave the way for supervised multilingual Word Sense Disambiguation. Our datasets cover…
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli +1
Lexical ambiguity can impede NLP systems from accurate understanding of semantics. Despite its potential benefits, the integration of sense-level information into NLP systems has r…