activity
20202026
most citedStay Together: A System for Single and Split-antecedent Anaphora Resolution

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration

Maja Pavlovic, Silviu Paun, Massimo Poesio

Central to human-aligned AI is understanding the benefits of human-elicited labels over synthetic alternatives. While human soft-labels improve calibration by capturing uncertainty…

cs.CL2022★ 1 cited

Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts

Juntao Yu, Silviu Paun, Maris Camilleri +4

Although several datasets annotated for anaphoric reference/coreference exist, even the largest such datasets have limitations in terms of size, range of domains, coverage of anaph…

cs.CL2022★ 1 cited

Scoring Coreference Chains with Split-Antecedent Anaphors

Silviu Paun, Juntao Yu, Nafise Sadat Moosavi +1

Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via no…

cs.CL2021★ 2 cited

Stay Together: A System for Single and Split-antecedent Anaphora Resolution

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun +1

The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent years. Researchers have therefore started to pay more attention to more complex cases of an…

cs.CL2020

Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun +1

Now that the performance of coreference resolvers on the simpler forms of anaphoric reference has greatly improved, more attention is devoted to more complex aspects of anaphora. O…