20 citations · 23 across the 3 of their papers we have counts for
6 papers
Knowledge Base Completion Meets Transfer Learning
Vid Kocijan, Thomas Lukasiewicz
The aim of knowledge base completion is to predict unseen facts from existing facts in knowledge bases. In this work, we introduce the first approach for transfer of knowledge from…
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
Diagnostic datasets that can detect biased models are an important prerequisite for bias reduction within natural language processing. However, undesired patterns in the collected…
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan +1
Hard cases of pronoun resolution have been used as a long-standing benchmark for commonsense reasoning. In the recent literature, pre-trained language models have been used to obta…
A Review of Winograd Schema Challenge Datasets and Approaches
Vid Kocijan, Thomas Lukasiewicz, Ernest Davis +2
The Winograd Schema Challenge is both a commonsense reasoning and natural language understanding challenge, introduced as an alternative to the Turing test. A Winograd schema is a…
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu +3
Pronoun resolution is a major area of natural language understanding. However, large-scale training sets are still scarce, since manually labelling data is costly. In this work, we…
A Surprisingly Robust Trick for Winograd Schema Challenge
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu +2
The Winograd Schema Challenge (WSC) dataset WSC273 and its inference counterpart WNLI are popular benchmarks for natural language understanding and commonsense reasoning. In this p…