2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration
Ercong Nie, Helmut Schmid, Hinrich Schütze
Pretrained multilingual encoder models can directly perform zero-shot multilingual tasks or linguistic probing by reformulating the input examples into cloze-style prompts. This is…
cs.CL2023★ 1 cited
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach
Ercong Nie, Helmut Schmid, Hinrich Schütze
Constituency parsing plays a fundamental role in advancing natural language processing (NLP) tasks. However, training an automatic syntactic analysis system for ancient languages s…
cs.CL2023★ 2 cited
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding
Bolei Ma, Ercong Nie, Helmut Schmid +1
Multilingual pretrained language models (MPLMs) have demonstrated substantial performance improvements in zero-shot cross-lingual transfer across various natural language understan…