19 citations · 28 across the 9 of their papers we have counts for
11 papers
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation
Maja Pavlovic, Massimo Poesio
Large Language Models (LLMs) have emerged as powerful support tools across various natural language tasks and a range of application domains. Recent studies focus on exploring thei…
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
Elisa Leonardelli, Alexandra Uma, Gavin Abercrombie +6
NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment an…
Joint Coreference Resolution for Zeros and non-Zeros in Arabic
Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio
Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are cle…
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…
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…
Coreference Resolution for the Biomedical Domain: A Survey
Pengcheng Lu, Massimo Poesio
Issues with coreference resolution are one of the most frequently mentioned challenges for information extraction from the biomedical literature. Thus, the biomedical genre has lon…