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ORCID26th NLDB 2021: Saarbrücken, Germany
- Elisabeth Métais, Farid Meziane
, Helmut Horacek, Epaminondas Kapetanios:
Natural Language Processing and Information Systems - 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23-25, 2021, Proceedings. Lecture Notes in Computer Science 12801, Springer 2021, ISBN 978-3-030-80598-2
The Role of Learning
- Csaba Veres, Jennifer Sampson:
You Can't Learn What's Not There: Self Supervised Learning and the Poverty of the Stimulus. 3-14 - Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-Tuning of Large Language Models. 15-23 - Sergei Nirenburg, Marjorie McShane, Jesse English:
Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents. 24-29
Methodological Approaches
- Silvia Terragni, Elisabetta Fersini, Enza Messina:
Word Embedding-Based Topic Similarity Measures. 33-45 - Bruno Guilherme Gomes, Fabricio Murai, Olga Goussevskaia, Ana Paula Couto da Silva:
Mixture Variational Autoencoder of Boltzmann Machines for Text Processing. 46-56 - Andrei-Marius Avram, Vasile Florian Pais, Dan Tufis:
A Modular Approach for Romanian-English Speech Translation. 57-63 - Thanakrit Julavanich, Akiko Aizawa:
NumER: A Fine-Grained Numeral Entity Recognition Dataset. 64-75 - Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin, Amir Hossein Payberah:
Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models. 76-89
Semantic Relations
- Raksha Sharma, Girish K. Palshikar:
Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Target-Specific Semantic Embeddings. 93-104 - Hadjer Khaldi, Farah Benamara, Amine Abdaoui, Nathalie Aussenac-Gilles, EunBee Kang:
Multilevel Entity-Informed Business Relation Extraction. 105-118 - Emanuela Boros, Romaric Besançon, Olivier Ferret, Brigitte Grau:
The Importance of Character-Level Information in an Event Detection Model. 119-131
Classification
- Bruno Guilherme Gomes, Fabricio Murai, Olga Goussevskaia, Ana Paula Couto da Silva:
Sequence-Based Word Embeddings for Effective Text Classification. 135-146 - Krishanu Maity, Sriparna Saha:
BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages. 147-155 - Nicolas Zampieri, Irina Illina, Dominique Fohr:
Multiword Expression Features for Automatic Hate Speech Detection. 156-164 - Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze:
Semantic Text Segment Classification of Structured Technical Content. 165-177 - Lorenzo Famiglini, Elisabetta Fersini, Paolo Rosso:
On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm. 178-186 - Andrés Lou, Olivier Salaün, Hannes Westermann, Leila Kosseim:
Extracting Facts from Case Rulings Through Paragraph Segmentation of Judicial Decisions. 187-198 - Antônio Diogo Forte Martins, Lucas Cabral, Pedro Jorge Chaves Mourão, José Maria Monteiro, Javam C. Machado:
Detection of Misinformation About COVID-19 in Brazilian Portuguese WhatsApp Messages. 199-206
Sentiment Analysis
- Anton Golubev, Natalia V. Loukachevitch:
Multi-Step Transfer Learning for Sentiment Analysis. 209-217 - Salim Sazzed:
Improving Sentiment Classification in Low-Resource Bengali Language Utilizing Cross-Lingual Self-supervised Learning. 218-230 - Joschka Kersting, Michaela Geierhos:
Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. 231-242 - Robiert Sepúlveda-Torres, Marta Esther Vicente, Estela Saquete, Elena Lloret, Manuel Palomar:
Exploring Summarization to Enhance Headline Stance Detection. 243-254 - Gokul S. Krishnan, S. Sowmya Kamath, Vijayan Sugumaran:
Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization. 255-263 - Hrishikesh Kulkarni, Bradly Alicea:
Sentiment Progression Based Searching and Indexing of Literary Textual Artefacts. 264-271
Social Media
- Neslihan Iskender, Robin Schaefer, Tim Polzehl, Sebastian Möller:
Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection. 275-288 - Chanchal Suman, Rohit Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Authorship Attribution Using Capsule-Based Fusion Approach. 289-300 - Ana Sabina Uban, Berta Chulvi, Paolo Rosso:
On the Explainability of Automatic Predictions of Mental Disorders from Social Media Data. 301-314
Linking Documents
- Pavel Khloponin, Leila Kosseim:
Using Document Embeddings for Background Linking of News Articles. 317-329 - Santosh Kumar Mishra, Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya:
Let's Summarize Scientific Documents! A Clustering-Based Approach via Citation Context. 330-339
Multimodality
- JungHyuk Im, Wooyeong Cho, Dae-Shik Kim:
Cross-Active Connection for Image-Text Multimodal Feature Fusion. 343-354 - Riccardo Cervero, Paolo Rosso, Gabriella Pasi:
Profiling Fake News Spreaders: Personality and Visual Information Matter. 355-363
Applications
- Cedric Lothritz, Kevin Allix, Bertrand Lebichot, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein:
Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. 367-375 - Kristian Kolthoff, Christian Bartelt, Simone Paolo Ponzetto:
Automated Retrieval of Graphical User Interface Prototypes from Natural Language Requirements. 376-384
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