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Incremental Processing in the Age of Non-Incremental Encoders: An
  Empirical Assessment of Bidirectional Models for Incremental NLU

Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU

11 October 2020
Brielen Madureira
David Schlangen
ArXivPDFHTML

Papers citing "Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU"

3 / 3 papers shown
Title
TAPIR: Learning Adaptive Revision for Incremental Natural Language
  Understanding with a Two-Pass Model
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model
Patrick Kahardipraja
Brielen Madureira
David Schlangen
CLL
34
9
0
18 May 2023
Real-time Caller Intent Detection In Human-Human Customer Support Spoken
  Conversations
Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations
Mrinal Rawat
Victor Barrès
33
1
0
14 Aug 2022
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming
  Disfluency Detection
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection
Angelica Chen
Vicky Zayats
D. D. Walker
Dirk Padfield
39
14
0
02 May 2022
1