Search Results for author:
Found 4 papers, 0 papers with code
A Category Theory Framework for Sense Systems
We also offer two guiding criteria, which we consider aspirational rather than requirements that have to be strictly fulfilled for all purposes: 1) Non-contradiction: Mappings cannot exist between senses that semantically contradict each other.
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
This paper describes our submission to the SemEval-2021 shared task on Lexical Complexity Prediction.
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation
This paper describes the system of the Cambridge team submitted to the SemEval-2021 shared task on Multilingual and Cross-lingual Word-in-Context Disambiguation.
SeCoDa: Sense Complexity Dataset
The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and word senses.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
