1 citations · 1 across the 8 of their papers we have counts for
8 papers
Humans vs Vision-Language Models: A Unified Measure of Narrative Coherence
Nikolai Ilinykh, Hyewon Jang, Shalom Lappin +2
We study narrative coherence in visually grounded stories by comparing human-written narratives with those generated by vision-language models (VLMs) on the Visual Writing Prompts…
Predicting Sentence Acceptability Judgments in Multimodal Contexts
Hyewon Jang, Nikolai Ilinykh, Sharid Loáiciga +2
Previous work has examined the capacity of deep neural networks (DNNs), particularly transformers, to predict human sentence acceptability judgments, both independently of context,…
Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori
Rolando Coto-Solano, Daisy Li, Manoela Teleginski Ferraz +4
We present experiments on diacritic restoration, a form of text normalization essential for natural language processing (NLP) tasks. Our study focuses on two extremely under-resour…
Coreference as an indicator of context scope in multimodal narrative
Nikolai Ilinykh, Shalom Lappin, Asad Sayeed +1
We demonstrate that large multimodal language models differ substantially from humans in the distribution of coreferential expressions in a visual storytelling task. We introduce a…
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray
Vageesh Saxena, Sharid Loáiciga, Nils Rethmeier
Neural networks have demonstrated significant advancements in Neural Machine Translation (NMT) compared to conventional phrase-based approaches. However, Multilingual Neural Machin…
A surprisal oracle for when every layer counts
Xudong Hong, Sharid Loáiciga, Asad Sayeed
Active Curriculum Language Modeling (ACLM; Hong et al., 2023) is a learner directed approach to training a language model. We proposed the original version of this process in our s…
Unsupervised Discovery of Unaccusative and Unergative Verbs
Sharid Loáiciga, Luca Bevacqua, Christian Hardmeier
We present an unsupervised method to detect English unergative and unaccusative verbs. These categories allow us to identify verbs participating in the causative-inchoative alterna…
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Anne Beyer, Sharid Loáiciga, David Schlangen
Coherent discourse is distinguished from a mere collection of utterances by the satisfaction of a diverse set of constraints, for example choice of expression, logical relation bet…