most citedTAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests

Brielen Madureira, David Schlangen

Clarification requests are a mechanism to help solve communication problems, e.g. due to ambiguity or underspecification, in instruction-following interactions. Despite their impor…

cs.CL2023

Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing

Brielen Madureira, Pelin Çelikkol, David Schlangen

In NLP, incremental processors produce output in instalments, based on incoming prefixes of the linguistic input. Some tokens trigger revisions, causing edits to the output hypothe…

cs.CL2023

The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling

Brielen Madureira, Patrick Kahardipraja, David Schlangen

Incremental dialogue model components produce a sequence of output prefixes based on incoming input. Mistakes can occur due to local ambiguities or to wrong hypotheses, making the…

cs.CL2023

"Are you telling me to put glasses on the dog?'' Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset

Brielen Madureira, David Schlangen

Instruction Clarification Requests are a mechanism to solve communication problems, which is very functional in instruction-following interactions. Recent work has argued that the…

cs.CL20231 cited

TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model

Patrick Kahardipraja, Brielen Madureira, David Schlangen

Language is by its very nature incremental in how it is produced and processed. This property can be exploited by NLP systems to produce fast responses, which has been shown to be…

cs.CL2023

Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset

Brielen Madureira, David Schlangen

In visual instruction-following dialogue games, players can engage in repair mechanisms in face of an ambiguous or underspecified instruction that cannot be fully mapped to actions…