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# Aaron Steven White

4 paper cards in Mova's library · 2016–2020

Aaron Steven White wrote 4 of the papers Mova reads, in 2016–2020, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with [Benjamin Van Durme](https://md.mova.elamur.ai/free/en/docs/papers/authors/benjamin-van-durme/), [Rachel Rudinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/rachel-rudinger/), Adam Poliak.

[OpenAlex](https://openalex.org/A5090639239) · [ORCID](https://orcid.org/0000-0003-0057-9246) · [**h-index 19**](https://openalex.org/authors/A5090639239) · [1185 citations](https://openalex.org/authors/A5090639239) · [69 works](https://openalex.org/works?filter=author.id:A5090639239) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Aaron+Steven+White) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aaron+Steven+White) · [dblp](https://dblp.org/search?q=Aaron+Steven+White) · [ACL Anthology](https://aclanthology.org/search/?q=Aaron+Steven+White) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Aaron+Steven+White)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 1 · [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1

## Ideas Mova took (3)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **kept** — Give every frame a factuality value, not only neg and cond: happened / did not happen / not asserted (wanted, planned, hoped, asked, ordered) / uncertain (modal, hedge). *([Neural Models of Factuality](https://md.mova.elamur.ai/free/en/docs/papers/rudinger-2018-neural-models-factuality/) · implication signatures (51 verbs, prag/data/signatures.tsv) set neg/irrealis on «to» complements top-down; courses 7672/2199→7704/2206 with I2 (35db4e3f7))*
- **kept** — Let the student remember only factual frames as facts and keep the rest as wishes or plans (world/src/knowledge.rs): «The fox wanted to eat the grapes» must not answer «Did the fox eat the grapes?» with yes. *([Neural Models of Factuality](https://md.mova.elamur.ai/free/en/docs/papers/rudinger-2018-neural-models-factuality/) · the student treats an irrealis mismatch as NegDisagree; reader alone 7677/2201, with the student 7704/2206 (35db4e3f7))*
- **kept** — A realis flag on every frame: did the event happen according to the text? Mova has neg and cond; add «not realised» for the complement of want/plan/try/hope/refuse/promise, for future and modal frames, and for imperatives, so the student does not answer «Did… *([Universal Decompositional Semantics on Universal…](https://md.mova.elamur.ai/free/en/docs/papers/white-2016-universal-decompositional-semantics-universal-dependencies/) · realis flag for complements of want/plan/try… and «if» clauses kept (35db4e3f7); modals (will/would/might/may/shall/should) as irrealis dropped: −38 tests, −2…)*

## Papers

1. **[Temporal Reasoning in Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)** *(2020)* The paper turns four temporal datasets (TempEval3, TimeBank-Dense, RED and UDS-Time) into NLI pairs about two kinds of temporal reasoning: event order and event duration.
2. **[Neural Models of Factuality](https://md.mova.elamur.ai/free/en/docs/papers/rudinger-2018-neural-models-factuality/)** *(2018)* `2 ideas kept` Event factuality asks, for each event-denoting predicate, whether the event happened according to the author, on a scale from −3 (certainly not) to +3 (certainly did).
3. **[Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework](https://md.mova.elamur.ai/free/en/docs/papers/white-2017-inference-is-everything-recasting-semantic/)** *(2017)* The paper turns existing semantic annotations into textual-inference (RTE) pairs with templates. Three resources are recast: semantic proto-roles (SPR, about 155k pairs), FrameNet paraphrases (FN+, about 155k) and definite pronoun resolution (DPR, about 3.7k). Each pair is labelled entailed or not from the original…
4. **[Universal Decompositional Semantics on Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)** *(2016)* `1 idea kept` The Decomp project adds semantic annotation on top of UD treebanks by asking ordinary speakers simple, decomposed questions with Likert-scale answers instead of asking for labels like Agent.

## Co-authors (12)

- [Benjamin Van Durme](https://md.mova.elamur.ai/free/en/docs/papers/authors/benjamin-van-durme/) ×4
- [Rachel Rudinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/rachel-rudinger/) ×2
- Adam Poliak
- Drew Reisinger
- [Keisuke Sakaguchi](https://md.mova.elamur.ai/free/en/docs/papers/authors/keisuke-sakaguchi/)
- [Kevin Duh](https://md.mova.elamur.ai/free/en/docs/papers/authors/kevin-duh/)
- Kyle Rawlins
- [Pushpendre Rastogi](https://md.mova.elamur.ai/free/en/docs/papers/authors/pushpendre-rastogi/)
- Sheng Zhang
- Siddharth Vashishtha
- Tim Vieira
- [Yash Kumar Lal](https://md.mova.elamur.ai/free/en/docs/papers/authors/yash-kumar-lal/)
- [← previous Aaron D. Hornkohl](https://md.mova.elamur.ai/free/en/docs/papers/authors/aaron-d-hornkohl/)
- [next → Adam Ek](https://md.mova.elamur.ai/free/en/docs/papers/authors/adam-ek/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
