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Found 8 papers, 3 papers with code
Reference and coreference in situated dialogue
We argue that there is still significant room for corpora that increase the complexity of both visual and linguistic domains and which capture different varieties of perceptual and conversational contexts.
Anaphoric Phenomena in Situated dialog: A First Round of Annotations
We present a first release of 500 documents from the multimodal corpus Tell-me-more (Ilinykh et al., 2019) annotated with coreference information according to the ARRAU guidelines (Poesio et al., 2021).
Exploring Span Representations in Neural Coreference Resolution
In coreference resolution, span representations play a key role to predict coreference links accurately.
Annotating anaphoric phenomena in situated dialogue
With this paper, we intend to start a discussion on the annotation of referential phenomena in situated dialogue.
New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities
Recent research shows that pre-trained language models, built to generate text conditioned on some context, learn to encode syntactic knowledge to a certain degree.
Unsupervised Discovery of Unaccusative and Unergative Verbs
We present an unsupervised method to detect English unergative and unaccusative verbs.
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
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 between denoted events, and implicit compatibility with world-knowledge.
