3 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
Mason Shipton, York Hay Ng, Aditya Khan +4
The URIEL+ linguistic knowledge base supports multilingual research by encoding languages through geographic, genetic, and typological vectors. However, data sparsity (e.g. missing…
Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+
York Hay Ng, Aditya Khan, Xiang Lu +5
Existing linguistic knowledge bases such as URIEL+ provide valuable geographic, genetic and typological distances for cross-lingual transfer but suffer from two key limitations. Fi…
A Typology of Synthetic Datasets for Dialogue Processing in Clinical Contexts
Steven Bedrick, A. Seza Doğruöz, Sergiu Nisioi
Synthetic data sets are used across linguistic domains and NLP tasks, particularly in scenarios where authentic data is limited (or even non-existent). One such domain is that of c…
Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
Joachim De Baer, A. Seza Doğruöz, Thomas Demeester +1
Optimizing language models for use in conversational agents requires large quantities of example dialogues. Increasingly, these dialogues are synthetically generated by using power…