Copertina

Word Sense Linking: Disambiguating Outside the Sandbox

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bejgu, Andrei Stefan, Barba, Edoardo, Procopio, Luigi, Fernández-Castro, Alberte, Navigli, Roberto
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
di: Martinelli, Giuliano, et al.
Pubblicazione: (2024)

ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
di: Orlando, Riccardo, et al.
Pubblicazione: (2024)

Do Large Language Models Understand Word Senses?
di: Meconi, Domenico, et al.
Pubblicazione: (2025)

Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!
di: Perrella, Stefano, et al.
Pubblicazione: (2024)

Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples
di: Škvorc, Tadej, et al.
Pubblicazione: (2025)

Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
di: Perrella, Stefano, et al.
Pubblicazione: (2024)

Exploring the Word Sense Disambiguation Capabilities of Large Language Models
di: Basile, Pierpaolo, et al.
Pubblicazione: (2025)

Language Models as Knowledge Bases for Visual Word Sense Disambiguation
di: Kritharoula, Anastasia, et al.
Pubblicazione: (2023)

Word Sense Disambiguation in Native Spanish: A Comprehensive Lexical Evaluation Resource
di: Ortega, Pablo, et al.
Pubblicazione: (2024)

Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
di: Zhao, Kexin, et al.
Pubblicazione: (2025)

Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis
di: Scirè, Alessandro, et al.
Pubblicazione: (2024)

Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
di: Proietti, Lorenzo, et al.
Pubblicazione: (2025)

LiteraryQA: Towards Effective Evaluation of Long-document Narrative QA
di: Bonomo, Tommaso, et al.
Pubblicazione: (2025)

Interpretable Coreference Resolution Evaluation Using Explicit Semantics
di: Gatti, Bruno, et al.
Pubblicazione: (2026)

Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Sense
di: Cahyawijaya, Samuel, et al.
Pubblicazione: (2024)

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
di: Moroni, Luca, et al.
Pubblicazione: (2025)

SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
di: Guzman-Olivares, Daniel, et al.
Pubblicazione: (2025)

AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
di: Koloski, Boshko, et al.
Pubblicazione: (2024)

Evaluating LLMs on Entity Disambiguation in Tables
di: Belotti, Federico, et al.
Pubblicazione: (2024)

BOOKCOREF: Coreference Resolution at Book Scale
di: Martinelli, Giuliano, et al.
Pubblicazione: (2025)

Ukrainian Visual Word Sense Disambiguation Benchmark
di: Laba, Yurii, et al.
Pubblicazione: (2026)

Using Language Models to Disambiguate Lexical Choices in Translation
di: Barua, Josh, et al.
Pubblicazione: (2024)

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
di: Liscio, Enrico, et al.
Pubblicazione: (2024)

Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning
di: Shi, Yi, et al.
Pubblicazione: (2021)

Active Task Disambiguation with LLMs
di: Kobalczyk, Katarzyna, et al.
Pubblicazione: (2025)

Identifying the Risks of LM Agents with an LM-Emulated Sandbox
di: Ruan, Yangjun, et al.
Pubblicazione: (2023)

Construction Identification and Disambiguation Using BERT: A Case Study of NPN
di: Scivetti, Wesley, et al.
Pubblicazione: (2025)

Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing
di: Trhlik, Filip, et al.
Pubblicazione: (2026)

From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
di: Vacareanu, Robert, et al.
Pubblicazione: (2024)

PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
di: Muti, Arianna, et al.
Pubblicazione: (2024)

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation
di: Aithal, Manjushree B., et al.
Pubblicazione: (2026)

Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
di: Saparina, Irina, et al.
Pubblicazione: (2025)

Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models
di: Dong, Dota Tianai, et al.
Pubblicazione: (2025)

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights
di: Hsu, Chan-Jan, et al.
Pubblicazione: (2025)

Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam
di: Majurski, Michael, et al.
Pubblicazione: (2026)

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge
di: Zaporojets, Klim, et al.
Pubblicazione: (2025)

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
di: Moore, Kyle, et al.
Pubblicazione: (2024)

An Exploration-Analysis-Disambiguation Reasoning Framework for Word Sense Disambiguation with Low-Parameter LLMs
di: Sumanathilaka, Deshan, et al.
Pubblicazione: (2026)

COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
di: Islam, Azwad Anjum, et al.
Pubblicazione: (2026)

A Comparative Study of Transformers on Word Sense Disambiguation
di: Chawla, Avi, et al.
Pubblicazione: (2021)