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Found 5 papers, 3 papers with code
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing
The training of NLP models often requires large amounts of labelled training data, which makes it difficult to expand existing models to new languages.
Fine-grained General Entity Typing in German using GermaNet
We use a German WordNet equivalent, GermaNet, to automatically generate training data for German general entity typing.
Language Models Are Poor Learners of Directional Inference
We examine LMs' competence of directional predicate entailments by supervised fine-tuning with prompts.
Cross-lingual Inference with A Chinese Entailment Graph
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.
Construction and Alignment of Multilingual Entailment Graphs for Semantic Inference
This paper presents ongoing work on the construction and alignment of predicate entailment graphs in English and German.
