activity
20162022
most citedEvaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

185 citations · 516 across the 14 of their papers we have counts for

collaborators

30 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.CL20221 cited

Risk-graded Safety for Handling Medical Queries in Conversational AI

Gavin Abercrombie, Verena Rieser

Conversational AI systems can engage in unsafe behaviour when handling users' medical queries that can have severe consequences and could even lead to deaths. Systems therefore nee…

cs.CL202224 cited

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

Shikib Mehri, Jinho Choi, Luis Fernando D'Haro +13

This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog. The workshop explored the current state of the art along with its limitations and suggeste…

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.CL20215 cited

ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI

Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser

We present the first English corpus study on abusive language towards three conversational AI systems gathered "in the wild": an open-domain social bot, a rule-based chatbot, and a…

cs.CL202116 cited

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

Emily Dinan, Gavin Abercrombie, A. Stevie Bergman +4

Over the last several years, end-to-end neural conversational agents have vastly improved in their ability to carry a chit-chat conversation with humans. However, these models are…