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Found 5 papers, 5 papers with code
Exploring Span Representations in Neural Coreference Resolution
In coreference resolution, span representations play a key role to predict coreference links accurately.
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality
Incremental models that process sentences one token at a time will sometimes encounter points where more than one interpretation is possible.
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling
Incremental dialogue model components produce a sequence of output prefixes based on incoming input.
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
RNNs are fast but monotonic (cannot correct earlier output, which can be necessary in incremental processing).
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU
In this work, we examine the feasibility of LT for incremental NLU in English.
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