5 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Predicting Fine-Tuning Performance with Probing
Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz
Large NLP models have recently shown impressive performance in language understanding tasks, typically evaluated by their fine-tuned performance. Alternatively, probing has receive…
An Adaptive Psychoacoustic Model for Automatic Speech Recognition
Peng Dai, Xue Teng, Frank Rudzicz +1
Compared with automatic speech recognition (ASR), the human auditory system is more adept at handling noise-adverse situations, including environmental noise and channel distortion…
Sex, drugs, and violence
Stefania Raimondo, Frank Rudzicz
Automatically detecting inappropriate content can be a difficult NLP task, requiring understanding context and innuendo, not just identifying specific keywords. Due to the large qu…
Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet
Frank Rudzicz, Serguei A. Mokhov
This document discusses an approach and its rudimentary realization towards automatic classification of PPs; the topic, that has not received as much attention in NLP as NPs and VP…