activity
20162026
most citedT-NER: An All-Round Python Library for Transformer-based Named Entity Recognition

61 citations · 133 across the 18 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

6 papers · 2 filters

cs.CL2023★ 1 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…

cs.CL2023★ 2 cited

A Practical Toolkit for Multilingual Question and Answer Generation

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Generating questions along with associated answers from a text has applications in several domains, such as creating reading comprehension tests for students, or improving document…

cs.CL2023★ 2 cited

An Empirical Comparison of LM-based Question and Answer Generation Methods

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Question and answer generation (QAG) consists of generating a set of question-answer pairs given a context (e.g. a paragraph). This task has a variety of applications, such as data…

cs.CL2023

An Efficient Multilingual Language Model Compression through Vocabulary Trimming

Asahi Ushio, Yi Zhou, Jose Camacho-Collados

Multilingual language model (LM) have become a powerful tool in NLP especially for non-English languages. Nevertheless, model parameters of multilingual LMs remain large due to the…

cs.CL2023

A RelEntLess Benchmark for Modelling Graded Relations between Named Entities

Asahi Ushio, Jose Camacho Collados, Steven Schockaert

Relations such as "is influenced by", "is known for" or "is a competitor of" are inherently graded: we can rank entity pairs based on how well they satisfy these relations, but it…