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20182022
most citedEncoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks

9 citations · 13 across the 7 of their papers we have counts for

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cs.CL2021

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games

Alessandro Suglia, Yonatan Bisk, Ioannis Konstas +4

Guessing games are a prototypical instance of the "learning by interacting" paradigm. This work investigates how well an artificial agent can benefit from playing guessing games wh…

cs.CL20209 cited

Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks

Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon

We study the problem of integrating syntactic information from constituency trees into a neural model in Frame-semantic parsing sub-tasks, namely Target Identification (TI), FrameI…

cs.CL20201 cited

SLURP: A Spoken Language Understanding Resource Package

Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski +1

Spoken Language Understanding infers semantic meaning directly from audio data, and thus promises to reduce error propagation and misunderstandings in end-user applications. Howeve…

cs.CL2020

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games

Alessandro Suglia, Antonio Vergari, Ioannis Konstas +4

In visual guessing games, a Guesser has to identify a target object in a scene by asking questions to an Oracle. An effective strategy for the players is to learn conceptual repres…

cs.CL20201 cited

CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning

Alessandro Suglia, Ioannis Konstas, Andrea Vanzo +4

Approaches to Grounded Language Learning typically focus on a single task-based final performance measure that may not depend on desirable properties of the learned hidden represen…

cs.CL2019

Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU

Andrea Vanzo, Emanuele Bastianelli, Oliver Lemon

We present a new neural architecture for wide-coverage Natural Language Understanding in Spoken Dialogue Systems. We develop a hierarchical multi-task architecture, which delivers…