Random Baseline

AbstractIn this paper, we present the multilingual Sense Folder Corpus. After the analysis of different corpora, we describe the requirements that have to be satisfied for evaluating semantic multilingual retrieval …...

AbstractThe meanings of words are not fixed but in fact undergo change, with new word senses arising and established senses taking on new aspects of meaning or falling out of …...

AbstractThis paper presents building a corpus of manually revised texts which includes both before and after-revision information. In order to create such a corpus, we propose a procedure for revising …...

This paper proposes a surrounding word sense model (SWSM) that uses the distri- bution of word senses that appear near am- biguous words for unsupervised all-words word sense disambiguation in …...

This paper describes the Duluth systems that participated in Task 14 of SemEval 2016, Se- mantic Taxonomy Enrichment. There were three related systems in the formal evalua- tion which are …...

In this work we describe the system built for the three English subtasks of the Se- mEval 2016 Task 3 by the Department of Computer Science of the University of …...

This paper presents a solution to Semeval 2016 Task 14 which asks for a system that is able to insert new lemmas into WordNet. Our system aims to do this …...

AbstractReproduction of scientific findings is essential for scientific development across all scientific disciplines and reproducing results of previous works is a basic requirement for validating the hypothesis and conclusions put …...

We investigate if, given a simple symbol mask- ing strategy, self-attention models are capable of learning nested structures and generalise over their depth. We do so in the simplest set- …...

AbstractPrompting pre-trained language models has achieved impressive performance on various NLP tasks, especially in low data regimes. Despite the success of prompting in monolingual settings, applying prompt-based methods in multilingual …...