activity
20182022
most citedSEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

22 citations · 35 across the 10 of their papers we have counts for

collaborators

19 papers

cs.CV20222 cited

Going for GOAL: A Resource for Grounded Football Commentaries

Alessandro Suglia, José Lopes, Emanuele Bastianelli +6

Recent video+language datasets cover domains where the interaction is highly structured, such as instructional videos, or where the interaction is scripted, such as TV shows. Both…

cs.CL2021

SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts

Ruben Kruiper, Ioannis Konstas, Alasdair Gray +3

Automated Compliance Checking (ACC) systems aim to semantically parse building regulations to a set of rules. However, semantic parsing is known to be hard and requires large amoun…

cs.CL2021

MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization

Xinnuo Xu, Ondřej Dušek, Shashi Narayan +2

One of the most challenging aspects of current single-document news summarization is that the summary often contains 'extrinsic hallucinations', i.e., facts that are not present in…

cs.CL2021

AGGGEN: Ordering and Aggregating while Generating

Xinnuo Xu, Ondřej Dušek, Verena Rieser +1

We present AGGGEN (pronounced 'again'), a data-to-text model which re-introduces two explicit sentence planning stages into neural data-to-text systems: input ordering and input ag…

cs.CL2021

OTTers: One-turn Topic Transitions for Open-Domain Dialogue

Karin Sevegnani, David M. Howcroft, Ioannis Konstas +1

Mixed initiative in open-domain dialogue requires a system to pro-actively introduce new topics. The one-turn topic transition task explores how a system connects two topics in a c…

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…