48 citations · 74 across the 21 of their papers we have counts for
23 papers
The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis
Tadesse Destaw Belay, Kedir Yassin Hussen, Sukairaj Hafiz Imam +11
Natural Language Processing (NLP) is undergoing constant transformation, as Large Language Models (LLMs) are driving daily breakthroughs in research and practice. In this regard, t…
FASCIST-O-METER: Classifier for Neo-fascist Discourse Online
Rudy Alexandro Garrido Veliz, Martin Semmann, Chris Biemann +1
Neo-fascism is a political and societal ideology that has been having remarkable growth in the last decade in the United States of America (USA), as well as in other Western societ…
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…
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation
Atnafu Lambebo Tonja, Israel Abebe Azime, Tadesse Destaw Belay +10
Large language models (LLMs) have gained popularity recently due to their outstanding performance in various downstream Natural Language Processing (NLP) tasks. However, low-resour…
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…
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay +6
Large language models (LLMs) have received a lot of attention in natural language processing (NLP) research because of their exceptional performance in understanding and generating…
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam +7
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeva…
Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities
Atnafu Lambebo Tonja, Tadesse Destaw Belay, Israel Abebe Azime +4
This survey delves into the current state of natural language processing (NLP) for four Ethiopian languages: Amharic, Afaan Oromo, Tigrinya, and Wolaytta. Through this paper, we id…
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele +23
Africa is home to over 2,000 languages from more than six language families and has the highest linguistic diversity among all continents. These include 75 languages with at least…
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
Debayan Banerjee, Seid Muhie Yimam, Sushil Awale +1
In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching…
The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation
Tadesse Destaw Belay, Atnafu Lambebo Tonja, Olga Kolesnikova +5
Machine translation (MT) is one of the main tasks in natural language processing whose objective is to translate texts automatically from one natural language to another. Nowadays,…
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change
Christian Haase, Saba Anwar, Seid Muhie Yimam +2
We present Sense Clustering over Time (SCoT), a novel network-based tool for analysing lexical change. SCoT represents the meanings of a word as clusters of similar words. It visua…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam +3
Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the…
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh +2
The availability of different pre-trained semantic models enabled the quick development of machine learning components for downstream applications. Despite the availability of abun…
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
Fine-tuning of pre-trained transformer networks such as BERT yield state-of-the-art results for text classification tasks. Typically, fine-tuning is performed on task-specific trai…
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System
Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Sie Yuen Lee +1
We present the first approach to automatically building resources for academic writing. The aim is to build a writing aid system that automatically edits a text so that it better a…
Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
Seid Muhie Yimam, Abinew Ali Ayele, Chris Biemann
In this paper, we present an analysis of the first Ethiopic Twitter Dataset for the Amharic language targeted for recognizing abusive speech. The dataset has been collected since 2…
A Multilingual Information Extraction Pipeline for Investigative Journalism
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
We introduce an advanced information extraction pipeline to automatically process very large collections of unstructured textual data for the purpose of investigative journalism. T…
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing
Seid Muhie Yimam, Chris Biemann
In this paper, we present Par4Sem, a semantic writing aid tool based on adaptive paraphrasing. Unlike many annotation tools that are primarily used to collect training examples, Pa…
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
Investigative journalism in recent years is confronted with two major challenges: 1) vast amounts of unstructured data originating from large text collections such as leaks or answ…
Par4Sim -- Adaptive Paraphrasing for Text Simplification
Seid Muhie Yimam, Chris Biemann
Learning from a real-world data stream and continuously updating the model without explicit supervision is a new challenge for NLP applications with machine learning components. In…
A Report on the Complex Word Identification Shared Task 2018
Seid Muhie Yimam, Chris Biemann, Shervin Malmasi +5
We report the findings of the second Complex Word Identification (CWI) shared task organized as part of the BEA workshop co-located with NAACL-HLT'2018. The second CWI shared task…