Papers
Francesco Tinner, Raghav Mantri, Mammad Hajili, Chiamaka Chukwuneke, Dylan Massey, Benjamin A. Ajibade, Bilge Deniz Kocak, Abolade Dawud, Jonathan Atala, Hale Sirin, Kayode Olaleye, Anar Rzayev, David Adelani, and Duygu Ataman. 2024. ‘Findings of the 2nd Shared Task on Multilingual Multitask Information Retrieval at MRL 2024’. Fourth Workshop on Multilingual Representation Learning (MRL 2024), EMNLP 2024. [text]
Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Lonneke van der Plas, and Duygu Ataman. “Evaluating Morphological Compositional Generalization in Large Language Models”. arXiv [Cs.CL], 2024, http://arxiv.org/abs/2410.12656. [arXiv].
Hope McGovern, Hale Sirin, Tom Lippincott and Andrew Caines. 2024. “Detecting Narrative Patterns in Biblical Hebrew and Greek.” First Machine Learning for Ancient Languages Workshop (ML4AL 2024), ACL 2024. [text]
Hale Sirin, Sabrina Li and Tom Lippincott. 2024. “Detecting Structured Language Alternations in Historical Documents by Combining Language Identification with Fourier Analysis” ISIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, EACL 2024. [text]
Hale Sirin and Tom Lippincott. 2024. “Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses” Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, EACL 2024. [text]
Hale Sirin and Tom Lippincott. “Diachronic Syntactic and Semantic Shifts in Latin: Corpus, Method, and Relationships to Auerbach’s Literary Scholarship,” New Directions in Analyzing Text as Data (TADA), University of Massachusetts, Amherst, 2023.
Hale Sirin, Ali Bolcakan and Tom Lippincott. “Discovering Works in Historic Languages with Language Models,”The New Directions in Analysing Text as Data (TADA), University of Massachusetts, Amherst, 2023.
Hale Sirin and Anne Eakin Moss, “Teaching Comparative Cinema with Omeka,” The Innovative Instructor, JHU Center for Teaching Excellence & Innovation, April 7, 2022. [text]
“Narrative Imagination and Literary Experience in Erich Auerbach’s Mimesis,” NeMLA, Philadelphia, PA/Online, 2020
Matt Dunn, Levent Sagun, Hale Sirin, and Daniel Chen. 2017. “Early predictability of asylum court decisions.” International Conference on Articial Intelligence and Law (ICAIL ’17) [text]
“Hans Reichenbach, Humanities, and Sciences at Istanbul University 1933-1938” American Comparative Literature Association (ACLA) Annual Conference, Utrecht, NL, 2017.
Selected Talks & Presentations
“Where the Collaboration between Computation and Social Science Stands” Cassandra Project: intersection of computational and social science, JHU. 2023. (Recording: https://cassandra.cs.jhu.edu/roundtables/finale/)
“Exploring Computer Vision Models and Developing Infrastructure for OCR and Image Clustering” Institute for Data Intensive Engineering and Science (IDIES), Johns Hopkins University, 2022.
“Data Analysis and the Human Sciences” Presented at The Structuralist Controversy and Its Legacy 1966 Anniversary Conference, Johns Hopkins University, 2017.
Hale Sirin 