1.8k citations · 1.9k across the 11 of their papers we have counts for
11 papers
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi, Johan Bos, Thierry Declerck +9
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 su…
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.…
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that requ…
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…
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini, Jose Camacho-Collados, Ignacio Iacobacci +1
Word embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information from massive corpora. However, their creation process…
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…
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…
The CQC Algorithm: Cycling in Graphs to Semantically Enrich and Enhance a Bilingual Dictionary
Tiziano Flati, Roberto Navigli
Bilingual machine-readable dictionaries are knowledge resources useful in many automatic tasks. However, compared to monolingual computational lexicons like WordNet, bilingual dict…