Jessica Lin

3 paper cards in Mova's library · 2023–2025

Jessica Lin wrote 3 of the papers Mova reads, in 2023–2025, most of them on Discourse analysis; often with Amir Zeldes, Shabnam Behzad, Tatsuya Aoyama.

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

Papers

GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction (2025)
Salience is defined operationally: an entity is as salient as the number of one-sentence summaries of the document (out of five) that mention it, giving a 0–5 score for every named and unnamed entity of GUM's 213 documents in 12 genres.
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains (2024)
PDTB, the only large English shallow-discourse corpus, is news from 1989 and not openly licensed. GDTB converts the GUM corpus (16 genres, 235 documents, 228K tokens) into PDTB v3 style, using GUM's eRST relations, their connective signals, gold UD syntax and coreference: explicit relations come from eRST relations…
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation (2023)
GENTLE is a small English challenge corpus of about 17k tokens in eight unusual genres: dictionary entries, esports commentary, legal documents, medical notes, poetry, mathematical proofs, syllabuses and threat letters.