Riza Batista-Navarro

43 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (73) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (14) 👥 Mega-Team (22) 🔬 Deep Specialist (10) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (189) ⚡ Prolific Year (8) ❓ The Questioner (7) 🔥 Unstoppable (5) 💎 Century Club (39)

Conferences

EMNLP (13) ACL (10) EACL (7) COLING (6) NAACL (2) AAAI (1) AACL (1) CONLL (1) ICML (1) IJCNLP (1)

Top co-authors

Viktor Schlegel (15) Goran Nenadic (7) Hao Li (7) Tharindu Madusanka (7) Iqra Zahid (6) Nuhu Ibrahim (5) Yulong Wu (5) Ian Pratt-Hartmann (4) Youcef Benkhedda (3) Abdullah Khered (3)

Keywords

transformer model (8) text classification (5) natural language inference (4) large language model (4) machine reading comprehension (3) authorship attribution (3) machine translation (3) argument mining (3) hate speech detection (3) multilingual nlp (3) model checking (2) low-resource language (2) language model (2) contextual embedding (2) multi-label classification (2) text summarization (2) arabic dialect (2) information extraction (2) logical reasoning (2) data augmentation (2)

Papers

ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation EACL 2026

Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction EACL 2026

The SlangTrack Dataset: Supporting the Detection of Words Used in Slang Senses EACL 2026

Knowledge Augmentation Enhances Token Classification for Recipe Understanding EACL 2026

Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic COLING 2025

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models EMNLP 2025

Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025

Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems ACL 2025

BEDAA: Bayesian Enhanced DeBERTa for Uncertainty-Aware Authorship Attribution ACL 2025

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling ICML 2025

Large Language Models as Detectors or Instigators of Hate Speech in Low-resource Ethiopian Languages EMNLP 2025

An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework COLING 2024

Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models ACL 2024

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation ACL 2024

Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents ACL 2024

IDEM: The IDioms with EMotions Dataset for Emotion Recognition COLING 2024

Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks COLING 2024

AraTar: A Corpus to Support the Fine-grained Detection of Hate Speech Targets in the Arabic Language COLING 2024

Resources for Annotating Hate Speech in Social Media Platforms Used in Ethiopia: A Novel Lexicon and Labelling Scheme COLING 2024

Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models EACL 2024

Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection EMNLP 2024

Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour EMNLP 2024

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline NAACL 2024

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? AACL 2023

TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles EMNLP 2023

Argument mining as a multi-hop generative machine reading comprehension task EMNLP 2023

UniManc at NADI 2023 Shared Task: A Comparison of Various T5-based Models for Translating Arabic Dialectical Text to Modern Standard Arabic EMNLP 2023

A Hybrid of Rule-based and Transformer-based Approaches for Relation Extraction in Biodiversity Literature EMNLP 2023

MMT’s Submission for the WMT 2023 Quality Estimation Shared Task EMNLP 2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation ACL 2023

Not all quantifiers are equal: Probing Transformer-based language models’ understanding of generalised quantifiers EMNLP 2023

Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models ACL 2023

Identifying the limits of transformers when performing model-checking with natural language EACL 2023

Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023

Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature ACL 2023

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? IJCNLP 2023

Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis EMNLP 2022

Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions? EMNLP 2022

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? EACL 2021

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading AAAI 2021

Policy Preference Detection in Parliamentary Debate Motions CONLL 2019

Semantic Change in the Language of UK Parliamentary Debates ACL 2019