no code implementations • EMNLP (insights) 2021 • Sabine Weber, Mark Steedman
The training of NLP models often requires large amounts of labelled training data, which makes it difficult to expand existing models to new languages.
1 code implementation • NAACL (TextGraphs) 2021 • Sabine Weber, Mark Steedman
We use a German WordNet equivalent, GermaNet, to automatically generate training data for German general entity typing.
1 code implementation • 10 Oct 2022 • Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, Mark Steedman
We examine LMs' competence of directional predicate entailments by supervised fine-tuning with prompts.
1 code implementation • Findings (ACL) 2022 • Tianyi Li, Sabine Weber, Mohammad Javad Hosseini, Liane Guillou, Mark Steedman
Predicate entailment detection is a crucial task for question-answering from text, where previous work has explored unsupervised learning of entailment graphs from typed open relation triples.
no code implementations • WS 2019 • Sabine Weber, Mark Steedman
This paper presents ongoing work on the construction and alignment of predicate entailment graphs in English and German.