61 citations · 87 across the 4 of their papers we have counts for
4 papers
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Asahi Ushio, Leonardo Neves, Vitor Silva +2
Recent progress in language model pre-training has led to important improvements in Named Entity Recognition (NER). Nonetheless, this progress has been mainly tested in well-format…
Twitter Topic Classification
Dimosthenis Antypas, Asahi Ushio, Jose Camacho-Collados +3
Social media platforms host discussions about a wide variety of topics that arise everyday. Making sense of all the content and organising it into categories is an arduous task. A…
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Asahi Ushio, Jose Camacho-Collados
Language model (LM) pretraining has led to consistent improvements in many NLP downstream tasks, including named entity recognition (NER). In this paper, we present T-NER (Transfor…
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
Max F. Frenzel, Bogdan Teleaga, Asahi Ushio
Deep generative models are universal tools for learning data distributions on high dimensional data spaces via a mapping to lower dimensional latent spaces. We provide a study of l…