1 citations · 1 across the 6 of their papers we have counts for
6 papers
Births are difficult to predict even with rich survey and full-population register data
Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109
Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…
Embeddings of Nation-Level Social Networks
Tanzir Pial, Flavio Hafner, Dakota Handzlik +6
Full nation-scale social networks are now emerging from countries such as the Netherlands and Denmark, but these networks present challenging technical issues in working with large…
Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language
Adity Khisa, Nusrat Jahan Lia, Tasnim Mahfuz Nafis +4
As an Indo-Aryan language with limited available data, Chakma remains largely underrepresented in language models. In this work, we introduce a novel corpus of contextually coheren…
Analyzing Film Adaptation through Narrative Alignment
Tanzir Pial, Shahreen Salim, Charuta Pethe +2
Novels are often adapted into feature films, but the differences between the two media usually require dropping sections of the source text from the movie script. Here we study thi…
GNAT: A General Narrative Alignment Tool
Tanzir Pial, Steven Skiena
Algorithmic sequence alignment identifies similar segments shared between pairs of documents, and is fundamental to many NLP tasks. But it is difficult to recognize similarities be…
STONYBOOK: A System and Resource for Large-Scale Analysis of Novels
Charuta Pethe, Allen Kim, Rajesh Prabhakar +2
Books have historically been the primary mechanism through which narratives are transmitted. We have developed a collection of resources for the large-scale analysis of novels, inc…