Rachel Rudinger

3 paper cards in Mova's library · 2016–2022

Rachel Rudinger wrote 3 of the papers Mova reads, in 2016–2022, most of them on Coreference resolution, Universal Dependencies, Semantic role labeling; often with Aaron Steven White, Benjamin Van Durme, Connor Baumler.

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

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 · 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 · 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… · 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…)

Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution (2022)
The paper tests whether coreference systems resolve singular personal "they" (a named person) as a singular referent.
Neural Models of 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).
Universal Decompositional Semantics on 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.