activity
20202026
most citedAnalysing Lexical Semantic Change with Contextualised Word Representations

126 citations · 161 across the 36 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.AI2023

GROOViST: A Metric for Grounding Objects in Visual Storytelling

Aditya K Surikuchi, Sandro Pezzelle, Raquel Fernández

A proper evaluation of stories generated for a sequence of images -- the task commonly referred to as visual storytelling -- must consider multiple aspects, such as coherence, gram…

cs.CL2023

The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models

Xinyi Chen, Raquel Fernández, Sandro Pezzelle

Despite the impressive performance achieved by pre-trained language-and-vision models in downstream tasks, it remains an open question whether this reflects a proper understanding…

cs.CL2023

Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives

Mario Giulianelli, Sarenne Wallbridge, Raquel Fernández

We present information value, a measure which quantifies the predictability of an utterance relative to a set of plausible alternatives. We introduce a method to obtain interpretab…

cs.CL2023★ 11 cited

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models

Jirui Qi, Raquel Fernández, Arianna Bisazza

Multilingual large-scale Pretrained Language Models (PLMs) have been shown to store considerable amounts of factual knowledge, but large variations are observed across languages. W…

cs.CV2023★ 4 cited

Co-Speech Gesture Detection through Multi-Phase Sequence Labeling

Esam Ghaleb, Ilya Burenko, Marlou Rasenberg +6

Gestures are integral components of face-to-face communication. They unfold over time, often following predictable movement phases of preparation, stroke, and retraction. Yet, the…

cs.CL2023

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind

Ece Takmaz, Nicolo' Brandizzi, Mario Giulianelli +2

Dialogue participants may have varying levels of knowledge about the topic under discussion. In such cases, it is essential for speakers to adapt their utterances by taking their a…

cs.CL2023★ 1 cited

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability

Mario Giulianelli, Joris Baan, Wilker Aziz +2

In Natural Language Generation (NLG) tasks, for any input, multiple communicative goals are plausible, and any goal can be put into words, or produced, in multiple ways. We charact…