research
∙
05/22/2023
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms
State-of-the-art neural models can now reach human performance levels ac...
share
research
∙
04/13/2023
Computational modeling of semantic change
In this chapter we provide an overview of computational modeling for sem...
research
∙
05/23/2022
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models
Current Natural Language Inference (NLI) models achieve impressive resul...
research
∙
04/17/2021
DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
Word meaning is notoriously difficult to capture, both synchronically an...
research
∙
01/19/2021
Challenges for Computational Lexical Semantic Change
The computational study of lexical semantic change (LSC) has taken off i...
research
∙
07/22/2020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Lexical Semantic Change detection, i.e., the task of identifying words t...
research
∙
04/16/2020
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Natural Language Inference (NLI) datasets contain annotation artefacts r...
research
∙
01/30/2020
Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence
Performance in cross-lingual NLP tasks is impacted by the (dis)similarit...
research
∙
06/04/2019
