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Frank Mtumbuka

2 accepted papers

2022

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence

NAACL 2022findings

The logical negation property (LNP), which implies generating different predictions for semantically opposite inputs (p is true iff ¬p is false), is an important property that a trustworthy language model must satisfy. However, much recent evidence shows that large-size pre-trained language models (…

2022

Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction

EMNLP 2022main

Open information extraction (OIE) is the task of extracting facts "(Subject, Relation, Object)” from natural language text. We propose several new methods for training neural OIE models in this paper. First, we propose a novel method for computing syntactically rich text embeddings using the structu…

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