18 citations · 23 across the 5 of their papers we have counts for
7 papers
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
Chuyuan Li, Patrick Huber, Wen Xiao +3
Discourse processing suffers from data sparsity, especially for dialogues. As a result, we explore approaches to build discourse structures for dialogues, based on attention matric…
Multi-Task Learning for Depression Detection in Dialogs
Chuyuan Li, Chloé Braud, Maxime Amblard
Depression is a serious mental illness that impacts the way people communicate, especially through their emotions, and, allegedly, the way they interact with others. This work exam…
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Angela Fan, Claire Gardent, Chloe Braud +1
Various machine learning tasks can benefit from access to external information of different modalities, such as text and images. Recent work has focused on learning architectures w…
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Angela Fan, Claire Gardent, Chloe Braud +1
Query-based open-domain NLP tasks require information synthesis from long and diverse web results. Current approaches extractively select portions of web text as input to Sequence-…
Is writing style predictive of scientific fraud?
Chloé Braud, Anders Søgaard
The problem of detecting scientific fraud using machine learning was recently introduced, with initial, positive results from a model taking into account various general indicators…
Cross-lingual and cross-domain discourse segmentation of entire documents
Chloé Braud, Ophélie Lacroix, Anders Søgaard
Discourse segmentation is a crucial step in building end-to-end discourse parsers. However, discourse segmenters only exist for a few languages and domains. Typically they only det…