FrameBERT: Conceptual metaphor detection with frame embedding learning
In this paper, we propose FrameBERT, a RoBERTa-based model that can explicitly learn
and incorporate FrameNet Embeddings for concept-level metaphor detection. FrameBERT …
and incorporate FrameNet Embeddings for concept-level metaphor detection. FrameBERT …
Metaphor detection with effective context denoising
We propose a novel RoBERTa-based model, RoPPT, which introduces a target-oriented
parse tree structure in metaphor detection. Compared to existing models, RoPPT focuses on …
parse tree structure in metaphor detection. Compared to existing models, RoPPT focuses on …
Train and Constrain: Phonologically Informed Tongue Twister Generation from Topics and Paraphrases
Previous work in phonologically and phonetically grounded language generation has
mainly focused on domains such as puns and poetry. In this article, we present new work on …
mainly focused on domains such as puns and poetry. In this article, we present new work on …
VIEMF: Multimodal metaphor detection via visual information enhancement with multimodal fusion
X He, L Yu, S Tian, Q Yang, J Long, B Wang - Information Processing & …, 2024 - Elsevier
In this paper, we study multimodal metaphor detection to obtain real semantic meaning from
multiple heterogeneous information sources. The existing approaches mainly suffer from two …
multiple heterogeneous information sources. The existing approaches mainly suffer from two …
Metaphor detection via explicit basic meanings modelling
One noticeable trend in metaphor detection is the embrace of linguistic theories such as the
metaphor identification procedure (MIP) for model architecture design. While MIP clearly …
metaphor identification procedure (MIP) for model architecture design. While MIP clearly …
Finding Challenging Metaphors that Confuse Pretrained Language Models
Metaphors are considered to pose challenges for a wide spectrum of NLP tasks. This gives
rise to the area of computational metaphor processing. However, it remains unclear what …
rise to the area of computational metaphor processing. However, it remains unclear what …
SC-Net: Multimodal metaphor detection using semantic conflicts
X He, L Yu, S Tian, Q Yang, J Long - Neurocomputing, 2024 - Elsevier
The phenomenon of metaphors is often regarded as a departure from semantic selection
and common sense in semantic composition tasks, with their fundamental characteristics …
and common sense in semantic composition tasks, with their fundamental characteristics …
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
Machine Translation (MT) has developed rapidly since the release of Large Language
Models and current MT evaluation is performed through comparison with reference human …
Models and current MT evaluation is performed through comparison with reference human …
EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language
Recent research highlights the importance of figurative language as a tool for amplifying
emotional impact. In this paper, we dive deeper into this phenomenon and outline our …
emotional impact. In this paper, we dive deeper into this phenomenon and outline our …
[PDF][PDF] Opinions Are Buildings: Metaphors in Secondary Education Foreign Language Learning
Automatic metaphor detection has been an active field of research for years. Yet, it was
rarely investigated how automatic metaphor detection can aid language learning. We …
rarely investigated how automatic metaphor detection can aid language learning. We …