Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
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Abstract (arXiv)
Incrementality is ubiquitous in human-human interaction and beneficial for human-computer interaction. It has been a topic of research in different parts of the NLP community, mostly with focus on the specific topic at hand even though incremental systems have to deal with similar challenges regardless of domain. In this survey, I consolidate and categorize the approaches, identifying similarities and differences in the computation and data, and show trade-offs that have to be considered. A focus lies on evaluating incremental systems because the standard metrics often fail to capture the incremental properties of a system and coming up with a suitable evaluation scheme is non-trivial.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 May 2018.
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Citing papers per year: 2023: 4; 2024: 2; 2025: 2.
8 papers.
- 2025SHANKS: Simultaneous Hearing and Thinking for Spoken Language Modelscited by 19
- 2023TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Modelcited by 5
- 2023Efficient Encoders for Streaming Sequence Taggingcited by 4
- 2023The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labellingcited by 2
- 2025Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Modelscited by 2
- 2024From Partial to Strictly Incremental Constituent Parsingcited by 1
- 2024When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementalitycited by 1
- 2023Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processingcited by 0
- 2025SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models8 Oct 2025
- 2025Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models1 Jan 2025
- 2024When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality20 Feb 2024
- 2024From Partial to Strictly Incremental Constituent Parsing5 Feb 2024
- 2023Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing27 Oct 2023
- 2023The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling28 Jul 2023
- 2023TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model18 May 2023
- 2023Efficient Encoders for Streaming Sequence Tagging23 Jan 2023