17 citations · 24 across the 7 of their papers we have counts for
7 papers
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…
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…
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran +8
The NLP community has mainly focused on scaling Large Language Models (LLMs) vertically, i.e., making them better for about 100 languages. We instead scale LLMs horizontally: we cr…
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages
Ercong Nie, Sheng Liang, Helmut Schmid +1
Multilingual Pretrained Language Models (MPLMs) have shown their strong multilinguality in recent empirical cross-lingual transfer studies. In this paper, we propose the Prompts Au…
Why don't people use character-level machine translation?
Jindřich Libovický, Helmut Schmid, Alexander Fraser
We present a literature and empirical survey that critically assesses the state of the art in character-level modeling for machine translation (MT). Despite evidence in the literat…
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
Timo Schick, Helmut Schmid, Hinrich Schütze
A recent approach for few-shot text classification is to convert textual inputs to cloze questions that contain some form of task description, process them with a pretrained langua…
Part-of-Speech Tagging with Neural Networks
Helmut Schmid
Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural ne…