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"Wait, did you mean the doctor?": Collecting a Dialogue Corpus for Topical Analysis
Amandine Decker, Vincent Tourneur, Maxime Amblard +1
Dialogue is at the core of human behaviour and being able to identify the topic at hand is crucial to take part in conversation. Yet, there are few accounts of the topical organisa…
With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations
Amandine Decker, Maxime Amblard
Topics play an important role in the global organisation of a conversation as what is currently discussed constrains the possible contributions of the participant. Understanding th…
Topic and genre in dialogue
Amandine Decker, Ellen Breitholtz, Christine Howes +1
In this paper we argue that topic plays a fundamental role in conversations, and that the concept is needed in addition to that of genre to define interactions. In particular, the…
Tackling Morphological Analogies Using Deep Learning -- Extended Version
Safa Alsaidi, Amandine Decker, Esteban Marquer +2
Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and e…
A Neural Approach for Detecting Morphological Analogies
Safa Alsaidi, Amandine Decker, Puthineath Lay +3
Analogical proportions are statements of the form "A is to B as C is to D" that are used for several reasoning and classification tasks in artificial intelligence and natural langu…
On the Transferability of Neural Models of Morphological Analogies
Safa Alsaidi, Amandine Decker, Puthineath Lay +3
Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natu…