150 citations · 457 across the 69 of their papers we have counts for
11 papers · 2 filters
ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding
Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay +11
With the rapid development of evaluation datasets to assess LLMs understanding across a wide range of subjects and domains, identifying a suitable language understanding benchmark…
The Zeno's Paradox of `Low-Resource' Languages
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman +2
The disparity in the languages commonly studied in Natural Language Processing (NLP) is typically reflected by referring to languages as low vs high-resourced. However, there is li…
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Jesus-German Ortiz-Barajas, Helena Gomez-Adorno, Thamar Solorio
We present HyperLoader, a simple approach that combines different parameter-efficient fine-tuning methods in a multi-task setting. To achieve this goal, our model uses a hypernetwo…
The Privileged Students: On the Value of Initialization in Multilingual Knowledge Distillation
Haryo Akbarianto Wibowo, Thamar Solorio, Alham Fikri Aji
Knowledge distillation (KD) has proven to be a successful strategy to improve the performance of smaller models in many NLP tasks. However, most of the work in KD only explores mon…
NLP Progress in Indigenous Latin American Languages
Atnafu Lambebo Tonja, Fazlourrahman Balouchzahi, Sabur Butt +4
The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements. We highlight the cultural richness of these languages a…
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen +21
The number of scientific articles produced every year is growing rapidly. Providing quality control over them is crucial for scientists and, ultimately, for the public good. In mod…
ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA
Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka +1
Aspect-Based Sentiment Analysis (ABSA) has experienced tremendous expansion and diversity due to various shared tasks spanning several languages and fields and organized via SemEva…
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +14
We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phen…
Interpreting Themes from Educational Stories
Yigeng Zhang, Fabio A. González, Thamar Solorio
Reading comprehension continues to be a crucial research focus in the NLP community. Recent advances in Machine Reading Comprehension (MRC) have mostly centered on literal comprehe…
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations
Emilio Villa-Cueva, A. Pastor López-Monroy, Fernando Sánchez-Vega +1
Zero-Shot Cross-lingual Transfer (ZS-XLT) utilizes a model trained in a source language to make predictions in another language, often with a performance loss. To alleviate this, a…
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +24
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily…