activity
20112023
most citedAutomatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System

77 citations · 79 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2023

'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges

Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi +1

Referential ambiguities arise in dialogue when a referring expression does not uniquely identify the intended referent for the addressee. Addressees usually detect such ambiguities…

cs.CL2022

Classification of Phonological Parameters in Sign Languages

Boris Mocialov, Graham Turner, Helen Hastie

Signers compose sign language phonemes that enable communication by combining phonological parameters such as handshape, orientation, location, movement, and non-manual features. L…

cs.CL2022★ 2 cited

Unsupervised Sign Language Phoneme Clustering using HamNoSys Notation

Boris Mocialov, Graham Turner, Helen Hastie

Traditionally, sign language resources have been collected in controlled settings for specific tasks involving supervised sign classification or linguistic studies accompanied by s…

cs.CL2022

Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge

Javier Chiyah-Garcia, Alessandro Suglia, José Lopes +2

Anaphoric expressions, such as pronouns and referential descriptions, are situated with respect to the linguistic context of prior turns, as well as, the immediate visual environme…

cs.AI2011★ 77 cited

Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System

A. Gorin, I. Langkilde-Geary, M. A. Walker +2

Spoken dialogue systems promise efficient and natural access to a large variety of information sources and services from any phone. However, current spoken dialogue systems are def…