Building a Coreference-Annotated Corpus from the Domain of Biochemistry. - Riza Theresa Batista-Navarro; Sophia Ananiadou (BioNLP@ACL, 2011)

Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature. - Xinglong Wang; Rafal Rak; Angelo C. Restificar; Chikashi Nobata; C. J. Rupp; Riza Theresa Batista-Navarro; Raheel Nawaz; Sophia Ananiadou (BMC Bioinform., 2011)

What's in a Name? Entity Type Variation across Two Biomedical Subdomains. - Claudiu Mihaila; Riza Theresa Batista-Navarro (EACL, 2012)

Extending an interoperable platform to facilitate the creation of multilingual and multimodal NLP applications. - Georgios Kontonatsios; Paul Thompson 002; Riza Theresa Batista-Navarro; Claudiu Mihaila; Ioannis Korkontzelos; Sophia Ananiadou (ACL (Conference System Demonstrations), 2013)

Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA. - Claudiu Mihaila; Georgios Kontonatsios; Riza Theresa Batista-Navarro; Paul Thompson 002; Ioannis Korkontzelos; Sophia Ananiadou (LAW@ACL, 2013)

Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform. - Riza Theresa Batista-Navarro; Georgios Kontonatsios; Claudiu Mihaila; Paul Thompson 002; Rafal Rak; Raheel Nawaz; Ioannis Korkontzelos; Sophia Ananiadou (CICLing (1), 2013)

Interoperability and Customisation of Annotation Schemata in Argo. - Rafal Rak; Jacob Carter; Andrew Rowley; Riza Theresa Batista-Navarro; Sophia Ananiadou (LREC, 2014)

BioC interoperability track overview. - Donald C. Comeau; Riza Theresa Batista-Navarro; Hong-Jie Dai; Rezarta Islamaj Dogan; Antonio Jimeno-Yepes; Ritu Khare; Zhiyong Lu; Hernani Marques; Carolyn J. Mattingly; Mariana L. Neves; Yifan Peng 002; Rafal Rak; et al. (Database J. Biol. Databases Curation, 2014)

Processing biological literature with customizable Web services supporting interoperable formats. - Rafal Rak; Riza Theresa Batista-Navarro; Jacob Carter; Andrew Rowley; Sophia Ananiadou (Database J. Biol. Databases Curation, 2014)

Text-mining-assisted biocuration workflows in Argo. - Rafal Rak; Riza Theresa Batista-Navarro; Andrew Rowley; Jacob Carter; Sophia Ananiadou (Database J. Biol. Databases Curation, 2014)

Information extraction from pharmaceutical literature. - Riza Theresa Batista-Navarro (2014)

Mining the Biomedical Literature. - Claudiu Mihaila; Riza Theresa Batista-Navarro; Noha Alnazzawi; Georgios Kontonatsios; Ioannis Korkontzelos; Rafal Rak; Paul Thompson 002; Sophia Ananiadou (Healthcare Data Analytics, 2015)

Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows. - Xiao Fu 003; Riza Theresa Batista-Navarro; Rafal Rak; Sophia Ananiadou (J. Biomed. Semant., 2015)

Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics. - Riza Theresa Batista-Navarro; Rafal Rak; Sophia Ananiadou (J. Cheminformatics, 2015)

The CHEMDNER corpus of chemicals and drugs and its annotation principles. - Martin Krallinger; Obdulia Rabal; Florian Leitner; Miguel Vazquez; David Salgado; Zhiyong Lu; Robert Leaman; Yanan Lu; Donghong Ji; Daniel M. Lowe; Roger A. Sayle; Riza Theresa Batista-Navarro; et al. (J. Cheminformatics, 2015)

Using text mining techniques to extract phenotypic information from the PhenoCHF corpus. - Noha Alnazzawi; Paul Thompson 002; Riza Theresa Batista-Navarro; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2015)

Learning to recognise named entities in tweets by exploiting weakly labelled data. - Kurt Junshean Espinosa; Riza Theresa Batista-Navarro; Sophia Ananiadou (NUT@COLING, 2016)

A Text Mining Framework for Accelerating the Semantic Curation of Literature. - Riza Theresa Batista-Navarro; Jennifer Hammock; William Ulate; Sophia Ananiadou (TPDL, 2016)

Construction of a Biodiversity Knowledge Repository using a Text Mining-based Framework. - Riza Batista-Navarro; Chrysoula Zerva; Sophia Ananiadou (SIMBig, 2016)

A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository. - Riza Batista-Navarro; Chrysoula Zerva; Nhung T. H. Nguyen 001; Sophia Ananiadou (SIMBig (Revised Selected Papers), 2016)

Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets. - Fermin Roberto Lapitan; Riza Theresa Batista-Navarro; Eliezer A. Albacea (WSSANLP@COLING, 2016)

Argo: enabling the development of bespoke workflows and services for disease annotation. - Riza Theresa Batista-Navarro; Jacob Carter; Sophia Ananiadou (Database J. Biol. Databases Curation, 2016)

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. - Sun Kim; Rezarta Islamaj Dogan; Andrew Chatr-aryamontri; Christie S. Chang; Rose Oughtred; Jennifer M. Rust; Riza Batista-Navarro; Jacob Carter; Sophia Ananiadou; Sérgio Matos; André Santos; David Campos 001; et al. (Database J. Biol. Databases Curation, 2016)

Overview of the interactive task in BioCreative V. - Qinghua Wang 003; Shabbir Syed-Abdul; Lara Almeida; Sophia Ananiadou; Yalbi I. Balderas-Martínez; Riza Batista-Navarro; David Campos 001; Lucy Chilton; Hui-Jou Chou; Gabriela Contreras; Laurel Cooper; Hong-Jie Dai; et al. (Database J. Biol. Databases Curation, 2016)

Modelling the Coverage of Dipterocarp Trees in Central Visayas, Philippines. - Adrian Jose Sabado; Geoffrey Solano; Marilou Nicolas; Riza Batista-Navarro; Roselyn Gabud; Vincent Hilomen (eScience, 2017)

Ecological niche modelling tool for aquatic life population distribution using maximum entropy model. - Riana Joy King; Riza Batista-Navarro; Marilou Nicolas; Vincent Hilomen; Geoffrey Solano (IISA, 2017)

Clustering Cancer Drugs According to their Mechanisms of Action. - Syed Abdullah Ali; Riza Theresa Batista-Navarro (SWAT4LS, 2017)

Using uncertainty to link and rank evidence from biomedical literature for model curation. - Chrysoula Zerva; Riza Batista-Navarro; Philip Day; Sophia Ananiadou (Bioinform., 2017)

Using semantic frames to identify related textual requirements: an initial validation. - Waad Alhoshan; Liping Zhao 001; Riza Batista-Navarro (ESEM, 2018)

'Aye' or 'No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts. - Gavin Abercrombie; Riza Batista-Navarro (LREC, 2018)

Towards a Corpus of Requirements Documents Enriched with Semantic Frame Annotations. - Waad Alhoshan; Riza Batista-Navarro; Liping Zhao 001 (RE, 2018)

Analyzing Sentiments Expressed on Twitter by UK Energy Company Consumers. - Victoria Ikoro; Maria Sharmina; Khaleel Malik; Riza Batista-Navarro (SNAMS, 2018)

Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions. - Gavin Abercrombie; Riza Theresa Batista-Navarro (WASSA@EMNLP, 2018)

LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models. - Axel J. Soto; Chrysoula Zerva; Riza Batista-Navarro; Sophia Ananiadou (Bioinform., 2018)

Annotation and detection of drug effects in text for pharmacovigilance. - Paul Thompson 002; Sophia Daikou; Kenju Ueno; Riza Batista-Navarro; Jun'ichi Tsujii; Sophia Ananiadou (J. Cheminformatics, 2018)

Identification of research hypotheses and new knowledge from scientific literature. - Matthew Shardlow; Riza Batista-Navarro; Paul Thompson 002; Raheel Nawaz; John McNaught; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2018)

Semantic Change in the Language of UK Parliamentary Debates. - Gavin Abercrombie; Riza Batista-Navarro (LChange@ACL, 2019)

Understanding the Evolution of Circular Economy through Language Change. - Sampriti Mahanty; Frank Boons; Julia Handl; Riza Theresa Batista-Navarro (LChange@ACL, 2019)

Policy Preference Detection in Parliamentary Debate Motions. - Gavin Abercrombie; Federico Nanni; Riza Batista-Navarro; Simone Paolo Ponzetto (CoNLL, 2019)

Towards the Automatic Analysis of the Structure of News Stories. - Iqra Zahid; Hao Zhang; Frank Boons; Riza Batista-Navarro (Text2Story@ECIR, 2019)

Topic Modelling vs Distant Supervision: A Comparative Evaluation Based on the Classification of Parliamentary Enquiries. - Riza Batista-Navarro; Oliver Hawkins (TPDL, 2019)

Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy. - Seetah ALSalamah; Riza Batista-Navarro; Ross D. King (IDEAL (2), 2019)

Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. - Sampriti Mahanty; Frank Boons; Julia Handl; Riza Batista-Navarro (IDEAL (2), 2019)

Using Frame Embeddings to Identify Semantically Related Software Requirements. - Waad Alhoshan; Riza Batista-Navarro; Liping Zhao 001 (REFSQ Workshops, 2019)

Whose story is it anyway? Automatic extraction of accounts from news articles. - Hao Zhang; Frank Boons; Riza Batista-Navarro (Inf. Process. Manag., 2019)

Self-supervised learning of object slippage: An LSTM model trained on low-cost tactile sensors. - Ainur Begalinova; Ross D. King; Barry Lennox; Riza Batista-Navarro (IRC, 2020)

ParlVote: A Corpus for Sentiment Analysis of Political Debates. - Gavin Abercrombie; Riza Batista-Navarro (LREC, 2020)

A Framework for Evaluation of Machine Reading Comprehension Gold Standards. - Viktor Schlegel; Marco Valentino; André Freitas; Goran Nenadic; Riza Batista-Navarro (LREC, 2020)

Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study. - Liping Zhao 001; Waad Alhoshan; Alessio Ferrari 001; Keletso J. Letsholo; Muideen A. Ajagbe; Erol-Valeriu Chioasca; Riza Theresa Batista-Navarro (CoRR, 2020)

Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (CoRR, 2020)

Sentiment and position-taking analysis of parliamentary debates: a systematic literature review. - Gavin Abercrombie; Riza Batista-Navarro (J. Comput. Soc. Sci., 2020)

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (AAAI, 2021)

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (EACL, 2021)

IoT Cooking Workflows for End-Users: A Comparison Between Behaviour Trees and the DX-MAN Model. - Filippos Ventirozos; Riza Batista-Navarro; Sarah Clinch; Damian Arellanes (MoDELS (Companion), 2021)

wapr.tugon.ph: A Secure Helpline for Detecting Psychosocial Aid from Reports of Unlawful Killings in the Philippines. - Maria Regina Justina E. Estuar; John Noel C. Victorino; Christian E. Pulmano; Zachary Pangan; Meredith Jaslyn B. Alanano; Jerome Victor C. Celeres; John Loyd B. de Troz; Marlene M. De Leon; Yvonne McDermott Rees; Riza Batista-Navarro; Lucita Lazo (SBP-BRiMS, 2021)

Interactive Clustering of Cooking Recipe Instructions: Towards the Automatic Detection of Events Involving Kitchen Devices. - Filippos Ventirozos; Mauricio Jacobo-Romero; Sarah Clinch; Riza Batista-Navarro (ICSC, 2021)

Automatic Detection of Deaths from Social Networking Sites. - Nuhu Ibrahim; Riza Batista-Navarro (SIMBig, 2021)

Towards Human-Centred Explainability Benchmarks For Text Classification. - Viktor Schlegel; Erick Mendez Guzman; Riza Batista-Navarro (ICWSM Workshops, 2022)

RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. - Erick Mendez Guzman; Viktor Schlegel; Riza Batista-Navarro (LREC, 2022)

Incorporating Zoning Information into Argument Mining from Biomedical Literature. - Boyang Liu 002; Viktor Schlegel; Riza Batista-Navarro; Sophia Ananiadou (LREC, 2022)

Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis. - Abdullah Salem Khered; Ingy Abdelhalim; Riza Batista-Navarro (WANLP@EMNLP, 2022)

Natural Language Processing for Requirements Engineering: A Systematic Mapping Study. - Liping Zhao 001; Waad Alhoshan; Alessio Ferrari 001; Keletso J. Letsholo; Muideen A. Ajagbe; Erol-Valeriu Chioasca; Riza Theresa Batista-Navarro (ACM Comput. Surv., 2022)

Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection. - Nadine Abdelhalim; Ingy Abdelhalim; Riza Batista-Navarro (ClinicalNLP@ACL, 2023)

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. - Hao Li 074; Viktor Schlegel; Riza Batista-Navarro; Goran Nenadic (ACL (1), 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. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (BioNLP@ACL, 2023)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

Identifying the limits of transformers when performing model-checking with natural language. - Tharindu Madusanka; Riza Theresa Batista-Navarro; Ian Pratt-Hartmann (EACL, 2023)

TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles. - Sarah Alsayyahi; Riza Batista-Navarro (EMNLP, 2023)

Argument mining as a multi-hop generative machine reading comprehension task. - Boyang Liu 002; Viktor Schlegel; Riza Batista-Navarro; Sophia Ananiadou (EMNLP (Findings), 2023)

Not all quantifiers are equal: Probing Transformer-based language models' understanding of generalised quantifiers. - Tharindu Madusanka; Iqra Zahid; Hao Li 074; Ian Pratt-Hartmann; Riza Batista-Navarro (EMNLP, 2023)

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (IJCNLP (2), 2023)

UniManc at NADI 2023 Shared Task: A Comparison of Various T5-based Models for Translating Arabic Dialectical Text to Modern Standard Arabic. - Abdullah Salem Khered; Ingy Abdelhalim; Nadine Abdelhalim; Ahmed Soliman; Riza Batista-Navarro (ArabicNLP, 2023)

MMT's Submission for the WMT 2023 Quality Estimation Shared Task. - Yulong Wu; Viktor Schlegel; Daniel Beck; Riza Batista-Navarro (WMT, 2023)

Natural Language Robot Programming: NLP integrated with autonomous robotic grasping. - Muhammad Arshad Khan; Max Kenney; Jack Painter; Disha Kamale; Riza Batista-Navarro; Amir Ghalamzan E (CoRR, 2023)

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (CoRR, 2023)

Towards End-User Development for IoT: A Case Study on Semantic Parsing of Cooking Recipes for Programming Kitchen Devices. - Filippos Ventirozos; Sarah Clinch; Riza Batista-Navarro (CoRR, 2023)

Learning to Play Chess from Textbooks (LEAP): a Corpus for Evaluating Chess Moves based on Sentiment Analysis. - Haifa Alrdahi; Riza Batista-Navarro (CoRR, 2023)

A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (Nat. Lang. Eng., 2023)

Few-shot entity linking of food names. - Darius Feher; Faridz Ibrahim; Zhuyan Cheng; Viktor Schlegel; Tom Maidment; James Bagshaw; Riza Batista-Navarro (Inf. Process. Manag., 2023)

Global information-aware argument mining based on a top-down multi-turn QA model. - Boyang Liu 002; Viktor Schlegel; Paul Thompson 002; Riza Theresa Batista-Navarro; Sophia Ananiadou (Inf. Process. Manag., 2023)

Towards IoT Workflows for Kitchens Enabled with Ambient Intelligence: A Position Paper. - Filippos Ventirozos; Riza Batista-Navarro; Bijan Parsia; Sarah Clinch (AAPEI@ECAI, 2024)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Tharindu Madusanka; Iqra Zahid; Jiayan Zeng; Xiaochi Wang; Xinran He; Yizhi Li; Goran Nenadic (ACL (Findings), 2024)

Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models. - Tharindu Madusanka; Ian Pratt-Hartmann; Riza Batista-Navarro (ACL (1), 2024)

Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents. - Iqra Zahid; Tharindu Madusanka; Riza Batista-Navarro; Youcheng Sun (ACL (Findings), 2024)

CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (AMTA (2), 2024)

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. - Matthew Shardlow; Fernando Alva-Manchego; Riza Batista-Navarro; Stefan Bott; Saúl Calderón Ramírez; Rémi Cardon; Thomas François; Akio Hayakawa; Andrea Horbach; Anna Hülsing; Yusuke Ide; Joseph Marvin Imperial; et al. (BEA, 2024)

IDEM: The IDioms with EMotions Dataset for Emotion Recognition. - Alexander Prochnow; Johannes E. Bendler; Caroline Lange; Foivos Ioannis Tzavellos; Bas Marco Göritzer; Marijn ten Thij; Riza Batista-Navarro (LREC/COLING, 2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (EAMT (1), 2024)

Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. - Iqra Zahid; Yue Chang; Tharindu Madusanka; Youcheng Sun; Riza Batista-Navarro (EMNLP (Findings), 2024)

LanViKD: Cross-Modal Language-Vision Knowledge Distillation for Egocentric Action Recognition. - Yizheng Sun; Hao Li 074; Chenghua Lin; Riza Batista-Navarro (HAII5.0@ECAI, 2024)

Recognition of biodiversity-related named entities by fine-tuning general-domain BERT-based language models. - Geilah T. Tabanao; Andrew Miguel V. Pagdanganan; Riza Batista-Navarro; Roselyn Gabud (SWAT4HCLS, 2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks. - Haifa Alrdahi; Riza Batista-Navarro (CoRR, 2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (CoRR, 2024)

Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species. - Roselyn Gabud; Portia Lapitan; Vladimir Y. Mariano; Eduardo Mendoza; Nelson Pampolina; Maria Art Antonette D. Clariño; Riza Batista-Navarro (Frontiers Artif. Intell., 2024)

From outputs to insights: a survey of rationalization approaches for explainable text classification. - Erick Mendez Guzman; Viktor Schlegel; Riza Batista-Navarro (Frontiers Artif. Intell., 2024)

Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage. - Ewan David Hannaford; Viktor Schlegel; Rhiannon Lewis; Stefan Ramsden; Jenny Bunn; John Moore; Marc Alexander; Hannah Barker; Riza Batista-Navarro; Lorna M. Hughes; Goran Nenadic (J. Documentation, 2024)

Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems. - Tharindu Madusanka; Marco Valentino; Iqra Zahid; Ian Pratt-Hartmann; Riza Batista-Navarro (ACL (1), 2025)

BEDAA: Bayesian Enhanced DeBERTa for Uncertainty-Aware Authorship Attribution. - Iqra Zahid; Youcheng Sun; Riza Batista-Navarro (ACL (Findings), 2025)

Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic. - Abdullah Salem Khered; Youcef Benkhedda; Riza Batista-Navarro (COLING Workshops, 2025)

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models. - Yizheng Sun; Yanze Xin; Hao Li 074; Jingyuan Sun; Chenghua Lin; Riza Batista-Navarro (NAACL (Findings), 2025)

TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition. - Rina Carines Cabral; Soyeon Caren Han; Areej Alhassan; Riza Batista-Navarro; Goran Nenadic; Josiah Poon (WWW, 2025)

Learning to generate and evaluate fact-checking explanations with transformers. - Darius Feher; Abdullah Salem Khered; Hao Zhang; Riza Batista-Navarro; Viktor Schlegel (Eng. Appl. Artif. Intell., 2025)

Discontinuous named entities in clinical text: A systematic literature review. - Areej Alhassan; Viktor Schlegel; Monira Aloud; Riza Batista-Navarro; Goran Nenadic (J. Biomed. Informatics, 2025)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension. - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (CoRR, 2025)

LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm. - Siwei Wu; Yizhi Li; Xingwei Qu; Rishi Ravikumar; Yucheng Li; Tyler Loakman; Shanghaoran Quan; Xiaoyong Wei; Riza Batista-Navarro; Chenghua Lin (CoRR, 2025)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling. - Hao Li 074; Yu-Hao Huang 002; Chang Xu 008; Viktor Schlegel; Ren-He Jiang; Riza Batista-Navarro; Goran Nenadic; Jiang Bian 002 (CoRR, 2025)

Silent Hazards of Token Reduction in Vision-Language Models: The Hidden Impact on Consistency. - Yizheng Sun; Hao Li 074; Chang Xu 008; Chenghua Lin; Riza Batista-Navarro; Jingyuan Sun (CoRR, 2025)

Large Language Models in Argument Mining: A Survey. - Hao Li 074; Viktor Schlegel; Yizheng Sun; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)

Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. - Hao Li 074; Yizheng Sun; Viktor Schlegel; Kailai Yang; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)