James Pustejovsky

4 paper cards in Mova's library · 2005–2023

James Pustejovsky wrote 4 of the papers Mova reads, in 2005–2023, most of them on Semantic role labeling, Machine translation, Discourse analysis; often with Martha Palmer, Julia Bonn, Alexis Palmer.

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

Ideas Mova took (2)

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

measured, no gain — Turn the semantic predicates already stored in prag/data/verbnet.tsv (the frame rows carry has_possession !has_possession transfer cause …, but nothing reads them) into derived state facts for the student: after a transfer frame, the recipient has the theme… (VerbNet Representations: Subevent Semantics for Transfer… · result states from VerbNet predicates (possession after transfer, location after motion) remembered as Fact frames: courses 7704/2206→7698/2203; possession…)
measured, no gain — Irrealis for future-having classes (promise, offer, owe): their transfer did not happen yet, so no possession fact is derived. A negative control for I1: «The king promised the miller gold» must not yield «the miller has gold». (VerbNet Representations: Subevent Semantics for Transfer… · no states from classes whose predicates say irrealis (promise, offer) — part of I1, dropped with it)

Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility (2023)
A reference paper that lists how AMR structures map onto UMR, the typologically motivated successor to AMR.
UMR Annotation of Multiword Expressions (2023)
This is a guideline paper. It runs no experiment and reports no counts. UMR, which is based on AMR, maps words to concepts. The authors define a multiword expression (MWE) operationally: several words that together form one concept. They sort MWEs into three groups. Fixed MWEs are unmodifiable word sequences, such as…
VerbNet Representations: Subevent Semantics for Transfer Verbs (2019)
The paper presents VerbNet's revised semantic representations, shown on the 37 classes (810 verbs) of change of possession and transfer of information.
Merging PropBank, NomBank, TimeBank, Penn Discourse Treebank and Coreference (2005)
Separate annotation projects each cover one part of semantics: PropBank and NomBank (predicate-argument structure of verbs and nouns), TimeBank (events, times and their links), the Penn Discourse Treebank (connectives as predicates), and Essex coreference (MATE scheme).