1 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
How much of UCCA can be predicted from AMR?
Siyana Pavlova, Maxime Amblard, Bruno Guillaume
In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR)a more abstract framework, and Universal Conceptual Cognitive Anno…
Graph Querying for Semantic Annotations
Maxime Amblard, Bruno Guillaume, Siyana Pavlova +1
This paper presents how the online tool GREW-MATCH can be used to make queries and visualise data from existing semantically annotated corpora. A dedicated syntax is available to c…
A Multi-Party Dialogue Ressource in French
Maria Boritchev, Maxime Amblard
We present Dialogues in Games (DinG), a corpus of manual transcriptions of real-life, oral, spontaneous multi-party dialogues between French-speaking players of the board game Cata…
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…