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20192026
most citedT-NER: An All-Round Python Library for Transformer-based Named Entity Recognition

61 citations · 88 across the 9 of their papers we have counts for

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13 papers · 1 filter

cs.CL2026

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures

Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros +27

We present our shared task on evaluating the adaptability of LLMs and NLP systems across multiple languages and cultures. The task data consist of an extended version of our manual…

cs.CL2024

Multilingual Topic Classification in X: Dataset and Analysis

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +1

In the dynamic realm of social media, diverse topics are discussed daily, transcending linguistic boundaries. However, the complexities of understanding and categorising this conte…

cs.CL2024

A Systematic Analysis on the Temporal Generalization of Language Models in Social Media

Asahi Ushio, Jose Camacho-Collados

In machine learning, temporal shifts occur when there are differences between training and test splits in terms of time. For streaming data such as news or social media, models are…

cs.CL2024

DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition

Kenneth Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini

Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research. However, Danish NER is inhibite…

cs.CL20231 cited

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +5

Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the…

cs.CL2023

RelBERT: Embedding Relations with Language Models

Asahi Ushio, Jose Camacho-Collados, Steven Schockaert

Many applications need access to background knowledge about how different concepts and entities are related. Although Knowledge Graphs (KG) and Large Language Models (LLM) can addr…