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Evangelia Spiliopoulou

Evangelia Spiliopoulou has 2 papers in our library, in 2017–2026, most of them on Semantic role labeling, Language models & pretraining, Information extraction; often with Eduard Hovy, Gyuwan Kim, Teruko Mitamura.

2 papers in our library · 2017–2026

OpenAlex · ORCID · h-index 5 · 26 works · 59 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8939

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢AmazonSeattle · United States2022–2026 · 6 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2017–2022 · 7 papers🎓Georgia Institute of TechnologyAtlanta · United States2015–2017 · 3 papers🏢MetaMenlo Park · United StatesEmployment · Research Scientist, FAIR

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workInformation extraction · 1 workSemantic parsing & meaning representation · 1 workSemantic role labeling · 1 work

 Works by year

2020s

20261 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Event Detection Using Frame-Semantic Parser (2017 · 17 citations)
    The paper addresses event nugget detection and type/subtype classification under the ACE 2005 scheme. The authors argue that deep learning detectors built on shallow lexical cues and embeddings tend to be precise but miss many events. Their alternative trades precision for coverage. The frame-semantic parser Semafor…
  2. Detecting Training Data of Large Language Models via Expectation Maximization (2026 · 5 citations)
    This paper tackles membership inference for large language models: deciding whether a given text was part of a model's pre-training data.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Event Detection Using Frame-Semantic ParserProceedings of the Events and Stories in the News WorkshopEvangelia Spiliopoulou, Eduard Hovy, Teruko Mitamura2017 · 17 citations
  2. Detecting Training Data of Large Language Models via Expectation MaximizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, et al.2026 · 5 citations
  3. Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAlexander Hanbo Li et al.2023 · 4 citations
  4. Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetDuygu Nur Yaldiz et al.2026

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/evangelia-spiliopoulou/