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Found 3 papers, 3 papers with code
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling
Deriving and modifying graphs from natural language text has become a versatile basis technology for information extraction with applications in many subfields, such as semantic parsing or knowledge graph construction.
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition
Summary: Named Entity Recognition (NER) is an important step in biomedical information extraction pipelines.
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
In contrast, neural models can cope very well with ambiguity by learning distributed representations of words and their composition from data, but lead to models that are difficult to interpret.
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