Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers

1 code implementation • 24 Oct 2023 • Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin

Abstracts derived from biomedical literature possess distinct domain-specific characteristics, including specialised writing styles and biomedical terminologies, which necessitate a deep understanding of the related literature.

Metaphor Detection via Explicit Basic Meanings Modelling

1 code implementation • 26 May 2023 • Yucheng Li, Shun Wang, Chenghua Lin, Guerin Frank

One noticeable trend in metaphor detection is the embrace of linguistic theories such as the metaphor identification procedure (MIP) for model architecture design.

Sentence

Metaphor Detection with Effective Context Denoising

1 code implementation • 11 Feb 2023 • Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin

We propose a novel RoBERTa-based model, RoPPT, which introduces a target-oriented parse tree structure in metaphor detection.

Denoising

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning

1 code implementation • 9 Feb 2023 • Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault

In this paper, we propose FrameBERT, a RoBERTa-based model that can explicitly learn and incorporate FrameNet Embeddings for concept-level metaphor detection.