61 citations · 152 across the 21 of their papers we have counts for
5 papers · 1 filter
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…
Generative Language Models for Paragraph-Level Question Generation
Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
Powerful generative models have led to recent progress in question generation (QG). However, it is difficult to measure advances in QG research since there are no standardized reso…
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…
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi +11
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic foc…