Search Results for author: Diego Frassinelli

Found 9 papers, 0 papers with code

Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!

no code implementations9 Apr 2024 Hyewon Jang, Diego Frassinelli

We tested the robustness of sarcasm detection models by examining their behavior when fine-tuned on four sarcasm datasets containing varying characteristics of sarcasm: label source (authors vs. third-party), domain (social media/online vs. offline conversations/dialogues), style (aggressive vs. humorous mocking).

Sarcasm Detection

Investigating the Nature of Disagreements on Mid-Scale Ratings: A Case Study on the Abstractness-Concreteness Continuum

no code implementations8 Nov 2023 Urban Knupleš, Diego Frassinelli, Sabine Schulte im Walde

Humans tend to strongly agree on ratings on a scale for extreme cases (e. g., a CAT is judged as very concrete), but judgements on mid-scale words exhibit more disagreement.

Clustering

Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

no code implementations CONLL 2020 Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, Ngoc Thang Vu

We compare state of the art networks based on long short-term memory (LSTM), convolutional neural models (CNN) and XLNet Transformer architectures.

Machine Reading Comprehension

Distributional Interaction of Concreteness and Abstractness in Verb--Noun Subcategorisation

no code implementations WS 2019 Diego Frassinelli, Sabine Schulte im Walde

In recent years, both cognitive and computational research has provided empirical analyses of contextual co-occurrence of concrete and abstract words, partially resulting in inconsistent pictures.

Language Identification Object

Quantitative Semantic Variation in the Contexts of Concrete and Abstract Words

no code implementations SEMEVAL 2018 Daniela Naumann, Diego Frassinelli, Sabine Schulte im Walde

Across disciplines, researchers are eager to gain insight into empirical features of abstract vs. concrete concepts.

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