RANLP

Publications

2023

Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva
Classifying COVID-19 Vaccine Narratives. RANLP (2023)
Shun Kiyono, Sho Takase, Shengzhe Li, Toshinori Sato
Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models. RANLP (2023)
Rudali Huidrom, Anya Belz
Towards a Consensus Taxonomy for Annotating Errors in Automatically Generated Text. RANLP (2023)
Mason Choey
From Stigma to Support: A Parallel Monolingual Corpus and NLP Approach for Neutralizing Mental Illness Bias. RANLP (2023)
Frontmatter. RANLP (2023)
Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. RANLP (2023)
Emma Franklin, Tharindu Ranasinghe
Deep Learning Approaches to Detecting Safeguarding Concerns in Schoolchildren's Online Conversations. RANLP (2023)
Sultan Alsarra, Luay Abdeljaber, Wooseong Yang, Niamat Zawad, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio
ConfliBERT-Arabic: A Pre-trained Arabic Language Model for Politics, Conflicts and Violence. RANLP (2023)
Judicael Poumay, Ashwin Ittoo
Evaluating Unsupervised Hierarchical Topic Models Using a Labeled Dataset. RANLP (2023)
Abinew Ali Ayele, Skadi Dinter, Seid Muhie Yimam, Chris Biemann
Multilingual Racial Hate Speech Detection Using Transfer Learning. RANLP (2023)
Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P
Multi-task Ensemble Learning for Fake Reviews Detection and Helpfulness Prediction: A Novel Approach. RANLP (2023)
Isuri Anuradha Nanomi Arachchige, Le An Ha, Ruslan Mitkov, Vinita Nahar
Evaluating of Large Language Models in Relationship Extraction from Unstructured Data: Empirical Study from Holocaust Testimonies. RANLP (2023)
Ratchakrit Arreerard, Scott Piao
Impact of Emojis on Automatic Analysis of Individual Emotion Categories. RANLP (2023)
Ye Jiang, Xingyi Song, Carolina Scarton, Iknoor Singh, Ahmet Aker, Kalina Bontcheva
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. RANLP (2023)
Jacky Li, Jaren Gerdes, James Gojit, Austin Tao, Samyak Katke, Kate Nguyen, Benyamin Ahmadnia
Sign Language Recognition and Translation: A Multi-Modal Approach Using Computer Vision and Natural Language Processing. RANLP (2023)
Lais Carraro Leme Cavalheiro, Matheus Camasmie Pavan, Ivandré Paraboni
Stance Prediction from Multimodal Social Media Data. RANLP (2023)
Tatsuya Ishigaki, Yui Uehara, Goran Topic, Hiroya Takamura
Pretraining Language- and Domain-Specific BERT on Automatically Translated Text. RANLP (2023)
Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver
Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation. RANLP (2023)
Pavel Pribán, Ondrej Prazák
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model. RANLP (2023)
Alimuddin Melleng, Anna Jurek-Loughrey, Deepak P
Data Fusion for Better Fake Reviews Detection. RANLP (2023)
Boyu Niu, Céline Manetta, Frédérique Segond
Human Value Detection from Bilingual Sensory Product Reviews. RANLP (2023)
Muzhaffar Hazman, Susan McKeever, Josephine Griffith
Unimodal Intermediate Training for Multimodal Meme Sentiment Classification. RANLP (2023)
Abinew Ali Ayele, Seid Muhie Yimam, Tadesse Destaw Belay, Tesfa Tegegne Asfaw, Chris Biemann
Exploring Amharic Hate Speech Data Collection and Classification Approaches. RANLP (2023)
Momchil Hardalov, Ivan Koychev, Preslav Nakov
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. RANLP (2023)
Nasim Sobhani, Kinshuk Sengupta, Sarah Jane Delany
Measuring Gender Bias in Natural Language Processing: Incorporating Gender-Neutral Linguistic Forms for Non-Binary Gender Identities in Abusive Speech Detection. RANLP (2023)
Leonardo Ranaldi, Aria Nourbakhsh, Elena Sofia Ruzzetti, Arianna Patrizi, Dario Onorati, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto
The Dark Side of the Language: Pre-trained Transformers in the DarkNet. RANLP (2023)
Irina Temnikova, Iva Marinova, Silvia Gargova, Ruslana Margova, Ivan Koychev
Looking for Traces of Textual Deepfakes in Bulgarian on Social Media. RANLP (2023)
Hannah Devinney, Anton Eklund, Igor Ryazanov, Jingwen Cai
Developing a Multilingual Corpus of Wikipedia Biographies. RANLP (2023)
Elisabetta Fersini, Antonio Candelieri, Lorenzo Pastore
On the Generalization of Projection-Based Gender Debiasing in Word Embedding. RANLP (2023)
Tim Schopf, Dennis N. Schneider, Florian Matthes
Efficient Domain Adaptation of Sentence Embeddings Using Adapters. RANLP (2023)
Najet Hadj Mohamed, Malak Rassem, Lifeng Han, Goran Nenadic
AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. RANLP (2023)
Sarah Alnefaie, Eric Atwell, Mohammad Ammar Alsalka
HAQA and QUQA: Constructing Two Arabic Question-Answering Corpora for the Quran and Hadith. RANLP (2023)
Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popovic, Patricia Buffini, John D. Kelleher
Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. RANLP (2023)
Ana-Maria Barbu, Elena Irimia, Carmen Mîrzea Vasile, Vasile Pais
Designing the LECOR Learner Corpus for Romanian. RANLP (2023)
Federico Garcea, Margherita Martinelli, Maja Milicevic Petrovic, Alberto Barrón-Cedeño
!Translate: When You Cannot Cook Up a Translation, Explain. RANLP (2023)
Paolo Gajo, Arianna Muti, Katerina Korre, Silvia Bernardini, Alberto Barrón-Cedeño
On the Identification and Forecasting of Hate Speech in Inceldom. RANLP (2023)
Yingyu Yan, Dongzhen Wen, Liang Yang, Dongyu Zhang, Hongfei Lin
Poetry Generation Combining Poetry Theme Labels Representations. RANLP (2023)
Fabio Yanez, Andrés Montoyo, Yoan Gutiérrez, Rafael Muñoz, Armando Suárez
A Review in Knowledge Extraction from Knowledge Bases. RANLP (2023)
Andriy Kosar, Guy De Pauw, Walter Daelemans
Advancing Topical Text Classification: A Novel Distance-Based Method with Contextual Embeddings. RANLP (2023)
Jordan Koontz, Maite Oronoz, Alicia Pérez
Evaluating Data Augmentation for Medication Identification in Clinical Notes. RANLP (2023)
Judicael Poumay, Ashwin Ittoo
HTMOT: Hierarchical Topic Modelling over Time. RANLP (2023)
Fabian Lechner, Allison Lahnala, Charles Welch, Lucie Flek
Challenges of GPT-3-Based Conversational Agents for Healthcare. RANLP (2023)
Magali Norré, Rémi Cardon, Vincent Vandeghinste, Thomas François
Word Sense Disambiguation for Automatic Translation of Medical Dialogues into Pictographs. RANLP (2023)
Jan Pasek, Jakub Sido, Miloslav Konopík, Ondrej Prazák
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain. RANLP (2023)
Ming Liu, Massimo Poesio
Data Augmentation for Fake Reviews Detection. RANLP (2023)
Tosin P. Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Al-Azzawi, Foteini Simistira Liwicki, Marcus Liwicki
Bipol: Multi-Axes Evaluation of Bias with Explainability in Benchmark Datasets. RANLP (2023)
Meriem Beloucif, Mihir Bansal, Chris Biemann
Using Wikidata for Enhancing Compositionality in Pretrained Language Models. RANLP (2023)
Ahmed Belkhir, Fatiha Sadat
Beyond Information: Is ChatGPT Empathetic Enough? RANLP (2023)
Tim Schopf, Karim Arabi, Florian Matthes
Exploring the Landscape of Natural Language Processing Research. RANLP (2023)
Sadat Shahriar, Arjun Mukherjee
Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. RANLP (2023)