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ORCIDMarie-Francine Moens
Sien Moens
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- affiliation: Catholic University of Leuven, Belgium
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2020 – today
- 2024
[j87]Chang Tian
, Wenpeng Yin, Dan Li, Marie-Francine Moens:
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition. IEEE Access 12: 37600-37614 (2024)- [j86]Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens:
Explicitly Representing Syntax Improves Sentence-to-Layout Prediction of Unexpected Situations. Trans. Assoc. Comput. Linguistics 12: 264-282 (2024) - [c230]Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens:
DMON: A Simple Yet Effective Approach for Argument Structure Learning. LREC/COLING 2024: 5109-5118 - [c229]Damien Sileo, Kanimozhi Uma, Marie-Francine Moens:
Generating Multiple-choice Questions for Medical Question Answering with Distractors and Cue-masking. LREC/COLING 2024: 7647-7653 - [c228]Vladimir Araujo, Maria Mihaela Trusca, Rodrigo Tufiño, Marie-Francine Moens:
Sequence-to-Sequence Spanish Pre-trained Language Models. LREC/COLING 2024: 14729-14743 - [c227]Ignacio Avas, Liesbeth Allein, Katrien Laenen, Marie-Francine Moens:
Align MacridVAE: Multimodal Alignment for Disentangled Recommendations. ECIR (1) 2024: 73-89 - [c226]Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens:
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps. ICLR 2024 - [c225]Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens:
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL (Short Papers) 2024: 638-646 - [c224]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Visually-Aware Context Modeling for News Image Captioning. NAACL-HLT 2024: 2927-2943 - [c223]Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens:
Beyond Document Page Classification: Design, Datasets, and Challenges. WACV 2024: 2950-2960 - [i88]Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens:
Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations. CoRR abs/2401.14212 (2024) - [i87]Jingyuan Sun, Mingxiao Li, Zijiao Chen, Marie-Francine Moens:
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties. CoRR abs/2402.01590 (2024) - [i86]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks. CoRR abs/2403.09377 (2024) - [i85]Mingxiao Li, Bo Wan, Marie-Francine Moens, Tinne Tuytelaars:
Animate Your Motion: Turning Still Images into Dynamic Videos. CoRR abs/2403.10179 (2024) - [i84]Shaonan Wang, Jingyuan Sun, Yunhao Zhang, Nan Lin, Marie-Francine Moens, Chengqing Zong:
Computational Models to Study Language Processing in the Human Brain: A Survey. CoRR abs/2403.13368 (2024) - [i83]Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens:
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. CoRR abs/2403.16543 (2024) - [i82]Nathan Cornille, Marie-Francine Moens, Florian Mai:
Learning to Plan for Language Modeling from Unlabeled Data. CoRR abs/2404.00614 (2024) - [i81]Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm, Robert Honig, Thomas Hofmann, Tinne Tuytelaars, Marie-Francine Moens:
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control. CoRR abs/2404.13766 (2024) - [i80]Maria Mihaela Trusca, Tinne Tuytelaars, Marie-Francine Moens:
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images. CoRR abs/2404.18020 (2024) - [i79]Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens:
DMON: A Simple yet Effective Approach for Argument Structure Learning. CoRR abs/2405.01216 (2024) - [i78]Quentin Meeus, Marie-Francine Moens, Hugo Van hamme:
MSNER: A Multilingual Speech Dataset for Named Entity Recognition. CoRR abs/2405.11519 (2024) - [i77]Omar Hamed, Souhail Bakkali, Marie-Francine Moens, Matthew B. Blaschko, Jordy Van Landeghem:
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting. CoRR abs/2405.12705 (2024) - [i76]Chang Tian, Wenpeng Yin, Dan Li, Marie-Francine Moens:
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition. CoRR abs/2406.05460 (2024) - [i75]Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee, Matthew B. Blaschko, Marie-Francine Moens, Josep Lladós, Sanket Biswas:
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications. CoRR abs/2406.08226 (2024) - [i74]Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens:
A Generic Method for Fine-grained Category Discovery in Natural Language Texts. CoRR abs/2406.13103 (2024) - [i73]Christos Theodoropoulos, Andrei Catalin Coman, James Henderson, Marie-Francine Moens:
Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework. CoRR abs/2407.13492 (2024) - 2023
- [j85]Ruiqi Li, Xiang Zhao, Marie-Francine Moens:
A Brief Overview of Universal Sentence Representation Methods: A Linguistic View. ACM Comput. Surv. 55(3): 56:1-56:42 (2023) - [j84]Nathan Cornille, Katrien Laenen, Jingyuan Sun, Marie-Francine Moens:
Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction. Entropy 25(11): 1554 (2023) - [j83]Liesbeth Allein, Marie-Francine Moens, Domenico Perrotta:
Preventing profiling for ethical fake news detection. Inf. Process. Manag. 60(2): 103206 (2023) - [j82]Sumam Francis, Marie-Francine Moens:
Investigating better context representations for generative question answering. Inf. Retr. J. 26(1): 7 (2023) - [j81]Vladimir Araujo, Marie-Francine Moens, Alvaro Soto:
Learning Sentence-Level Representations with Predictive Coding. Mach. Learn. Knowl. Extr. 5(1): 59-77 (2023) - [c222]Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. AAAI 2023: 1386-1395 - [c221]Vladimir Araujo, Alvaro Soto, Marie-Francine Moens:
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. ACL (Findings) 2023: 13124-13138 - [c220]Quentin Meeus, Marie-Francine Moens, Hugo Van hamme:
Whisper-Slu: Extending a Pretrained Speech-to-Text Transformer for Low Resource Spoken Language Understanding. ASRU 2023: 1-6 - [c219]Kanimozhi Uma, Sumam Francis, Marie-Francine Moens:
Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical Narratives. COMPLEX NETWORKS (1) 2023: 162-174 - [c218]Aristotelis Chrysakis, Marie-Francine Moens:
Simulating Task-Free Continual Learning Streams From Existing Datasets. CVPR Workshops 2023: 2516-2524 - [c217]Liesbeth Allein, Marlon Saelens, Ruben Cartuyvels, Marie-Francine Moens:
Implicit Temporal Reasoning for Evidence-Based Fact-Checking. EACL (Findings) 2023: 176-189 - [c216]Helena Balabin, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick Dupont, Rik Vandenberghe, Marie-Francine Moens:
Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms. ECAI 2023: 165-173 - [c215]Jingyuan Sun, Mingxiao Li, Marie-Francine Moens:
Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion. ECAI 2023: 2250-2257 - [c214]Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens:
Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. ECAI 2023: 2258-2265 - [c213]Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens:
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023: 11792-11806 - [c212]Christos Theodoropoulos, Marie-Francine Moens:
An Information Extraction Study: Take in Mind the Tokenization! EUSFLAT/AGOP 2023: 593-606 - [c211]Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. ICCV 2023: 5190-5201 - [c210]Jordy Van Landeghem, Rafal Powalski, Rubèn Tito, Dawid Jurkiewicz, Matthew B. Blaschko, Lukasz Borchmann, Mickaël Coustaty, Sien Moens, Michal Pietruszka, Bertrand Anckaert, Tomasz Stanislawek, Pawel Józiak, Ernest Valveny:
Document Understanding Dataset and Evaluation (DUDE). ICCV 2023: 19471-19483 - [c209]Aristotelis Chrysakis, Marie-Francine Moens:
Online Bias Correction for Task-Free Continual Learning. ICLR 2023 - [c208]Jingyuan Sun, Marie-Francine Moens:
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023: 5197-5205 - [c207]Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens:
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities. NeurIPS 2023 - [c206]Damien Sileo, Marie-Francine Moens:
Probing neural language models for understanding of words of estimative probability. *SEM@ACL 2023: 469-476 - [c205]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss. WACV 2023: 3494-3503 - [c204]Sumam Francis, Kanimozhi Uma, Marie-Francine Moens:
Understanding the Impact of Label Skewness and Optimization on Federated Learning for Text Classification. WWW (Companion Volume) 2023: 1161-1166 - [i72]Liesbeth Allein, Marlon Saelens, Ruben Cartuyvels, Marie-Francine Moens:
Implicit Temporal Reasoning for Evidence-Based Fact-Checking. CoRR abs/2302.12569 (2023) - [i71]Damien Sileo, Kanimozhi Uma, Marie-Francine Moens:
Generating multiple-choice questions for medical question answering with distractors and cue-masking. CoRR abs/2303.07069 (2023) - [i70]Christos Theodoropoulos, Marie-Francine Moens:
An Information Extraction Study: Take In Mind the Tokenization! CoRR abs/2303.15100 (2023) - [i69]Vladimir Araujo, Alvaro Soto, Marie-Francine Moens:
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. CoRR abs/2305.07565 (2023) - [i68]Jordy Van Landeghem, Rubèn Tito, Lukasz Borchmann, Michal Pietruszka, Pawel Józiak, Rafal Powalski, Dawid Jurkiewicz, Mickaël Coustaty, Bertrand Anckaert, Ernest Valveny, Matthew B. Blaschko, Sien Moens, Tomasz Stanislawek:
Document Understanding Dataset and Evaluation (DUDE). CoRR abs/2305.08455 (2023) - [i67]Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens:
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps. CoRR abs/2305.15583 (2023) - [i66]Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens:
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities. CoRR abs/2305.17214 (2023) - [i65]Gorjan Radevski, Dusan Grujicic, Marie-Francine Moens, Matthew B. Blaschko, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. CoRR abs/2307.07483 (2023) - [i64]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Visually-Aware Context Modeling for News Image Captioning. CoRR abs/2308.08325 (2023) - [i63]Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens:
Beyond Document Page Classification: Design, Datasets, and Challenges. CoRR abs/2308.12896 (2023) - [i62]Andrei C. Coman, Christos Theodoropoulos, Marie-Francine Moens, James Henderson:
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction. CoRR abs/2308.14423 (2023) - [i61]Ruiqi Li, Liesbeth Allein, Damien Sileo, Marie-Francine Moens:
When Do Discourse Markers Affect Computational Sentence Understanding? CoRR abs/2309.00368 (2023) - [i60]Vladimir Araujo, Maria Mihaela Trusca, Rodrigo Tufiño, Marie-Francine Moens:
Sequence-to-Sequence Spanish Pre-trained Language Models. CoRR abs/2309.11259 (2023) - [i59]Jingyuan Sun, Mingxiao Li, Marie-Francine Moens:
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion. CoRR abs/2310.00318 (2023) - [i58]Wei Sun, Mingxiao Li, Damien Sileo, Jesse Davis, Marie-Francine Moens:
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence. CoRR abs/2310.01299 (2023) - [i57]Jingyuan Sun, Marie-Francine Moens:
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? CoRR abs/2310.01854 (2023) - [i56]Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens:
Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. CoRR abs/2310.04460 (2023) - [i55]Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens:
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. CoRR abs/2310.12024 (2023) - [i54]Sumam Francis, Marie-Francine Moens:
Injecting Categorical Labels and Syntactic Information into Biomedical NER. CoRR abs/2311.03113 (2023) - [i53]Sumam Francis, Marie-Francine Moens:
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19. CoRR abs/2311.03420 (2023) - [i52]Liesbeth Allein, Maria Mihaela Trusca, Marie-Francine Moens:
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments. CoRR abs/2312.03726 (2023) - 2022
- [j80]Jordy Van Landeghem, Matthew B. Blaschko, Bertrand Anckaert, Marie-Francine Moens:
Benchmarking Scalable Predictive Uncertainty in Text Classification. IEEE Access 10: 43703-43737 (2022) - [j79]Thierry Deruyttere, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens:
Talk2Car: Predicting Physical Trajectories for Natural Language Commands. IEEE Access 10: 123809-123834 (2022) - [j78]Katrien Laenen, Marie-Francine Moens:
Learning Explainable Disentangled Representations of E-Commerce Data by Aligning Their Visual and Textual Attributes. Comput. 11(12): 182 (2022) - [j77]Thierry Deruyttere, Victor Milewski, Marie-Francine Moens:
Corrigendum to "Giving commands to a self-driving car: How to deal with uncertain situations?" [Eng. Appl. Artif. Intell. 103 (2021) 104257]. Eng. Appl. Artif. Intell. 115: 105243 (2022) - [j76]Nathan Cornille, Katrien Laenen, Marie-Francine Moens:
Critical Analysis of Deconfounded Pretraining to Improve Visio-Linguistic Models. Frontiers Artif. Intell. 5: 736791 (2022) - [j75]Djoerd Hiemstra, Marie-Francine Moens:
Guest editorial: special issue on ECIR 2021. Inf. Retr. J. 25(2): 91-93 (2022) - [c203]Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko:
Predicting Physical World Destinations for Commands Given to Self-Driving Cars. AAAI 2022: 715-725 - [c202]Mingxiao Li, Marie-Francine Moens:
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. AAAI 2022: 10983-10992 - [c201]Victor Milewski, Miryam de Lhoneux, Marie-Francine Moens:
Finding Structural Knowledge in Multimodal-BERT. ACL (1) 2022: 5658-5671 - [c200]Sumam Francis, Marie-Francine Moens:
KUL@SMM4H'22: Template Augmented Adaptive Pre-training for Tweet Classification. SMM4H@COLING 2022: 153-155 - [c199]Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
Entropy-based Stability-Plasticity for Lifelong Learning. CVPR Workshops 2022: 3720-3727 - [c198]Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
How Relevant is Selective Memory Population in Lifelong Language Learning? AACL/IJCNLP (2) 2022: 154-160 - [c197]Quentin Meeus, Marie-Francine Moens, Hugo Van hamme:
Multitask Learning for Low Resource Spoken Language Understanding. INTERSPEECH 2022: 4073-4077 - [c196]Damien Sileo, Marie-Francine Moens:
Analysis and Prediction of NLP Models via Task Embeddings. LREC 2022: 633-647 - [c195]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. LREC 2022: 6024-6034 - [c194]Chang Tian, Wenpeng Yin, Marie-Francine Moens:
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. NAACL-HLT (Findings) 2022: 565-577 - [c193]Sumam Francis, Marie-Francine Moens:
Task-Aware Contrastive Pre-training for Spanish Named Entity Recognition in LivingNER Challenge. IberLEF@SEPLN 2022 - [i51]Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Discrete and continuous representations and processing in deep learning: Looking forward. CoRR abs/2201.01233 (2022) - [i50]Mingxiao Li, Marie-Francine Moens:
Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering. CoRR abs/2203.02985 (2022) - [i49]Mingxiao Li, Marie-Francine Moens:
Modeling Coreference Relations in Visual Dialog. CoRR abs/2203.02986 (2022) - [i48]Zehao Wang, Mingxiao Li, Minye Wu, Marie-Francine Moens, Tinne Tuytelaars:
Find a Way Forward: a Language-Guided Semantic Map Navigator. CoRR abs/2203.03183 (2022) - [i47]Victor Milewski, Miryam de Lhoneux, Marie-Francine Moens:
Finding Structural Knowledge in Multimodal-BERT. CoRR abs/2203.09306 (2022) - [i46]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. CoRR abs/2204.07571 (2022) - [i45]Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
Entropy-based Stability-Plasticity for Lifelong Learning. CoRR abs/2204.09517 (2022) - [i44]Chang Tian, Wenpeng Yin, Marie-Francine Moens:
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. CoRR abs/2207.11762 (2022) - [i43]Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
How Relevant is Selective Memory Population in Lifelong Language Learning? CoRR abs/2210.00940 (2022) - [i42]Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars:
Students taught by multimodal teachers are superior action recognizers. CoRR abs/2210.04331 (2022) - [i41]Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss. CoRR abs/2210.08957 (2022) - [i40]Damien Sileo, Marie-Francine Moens:
Probing neural language models for understanding of words of estimative probability. CoRR abs/2211.03358 (2022) - [i39]Quentin Meeus, Marie-Francine Moens, Hugo Van hamme:
Multitask Learning for Low Resource Spoken Language Understanding. CoRR abs/2211.13703 (2022) - [i38]Quentin Meeus, Marie-Francine Moens, Hugo Van hamme:
Bidirectional Representations for Low Resource Spoken Language Understanding. CoRR abs/2211.14320 (2022) - [i37]Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-aware Dreamer for Embodied Referring Expression Grounding. CoRR abs/2212.00171 (2022) - [i36]Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels, Marie-Francine Moens:
Optimizing ship detection efficiency in SAR images. CoRR abs/2212.05843 (2022) - 2021
- [j74]Guillem Collell, Thierry Deruyttere, Marie-Francine Moens:
Probing Spatial Clues: Canonical Spatial Templates for Object Relationship Understanding. IEEE Access 9: 134298-134318 (2021) - [j73]Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Discrete and continuous representations and processing in deep learning: Looking forward. AI Open 2: 143-159 (2021) - [j72]Shurong Sheng, Katrien Laenen, Luc Van Gool, Marie-Francine Moens:
Fine-Grained Cross-Modal Retrieval for Cultural Items with Focal Attention and Hierarchical Encodings. Comput. 10(9): 105 (2021) - [j71]Thierry Deruyttere, Victor Milewski, Marie-Francine Moens:
Giving commands to a self-driving car: How to deal with uncertain situations? Eng. Appl. Artif. Intell. 103: 104257 (2021) - [j70]Abbas Akkasi, Marie-Francine Moens:
Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey. J. Biomed. Informatics 119: 103820 (2021) - [j69]Graham Spinks, Marie-Francine Moens:
Corrigendum to "Justifying diagnosis decisions by deep neural networks" [J. Biomed. Inf. 96 (2019) 103248]. J. Biomed. Informatics 119: 103835 (2021) - [j68]Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-aware evidence ranking for fact-checking. J. Web Semant. 71: 100663 (2021) - [c192]Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. BMVC 2021: 110 - [c191]Elias Moons, Marie-Francine Moens:
Clinical Report Classification: Continually Learning from User Feedback. CBMS 2021: 455-460 - [c190]Christos Theodoropoulos, James Henderson, Andrei Catalin Coman, Marie-Francine Moens:
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. CoNLL 2021: 337-348 - [c189]Mingxiao Li, Marie-Francine Moens:
Modeling Coreference Relations in Visual Dialog. EACL 2021: 3306-3318 - [c188]Guillem Collell, Marie-Francine Moens:
How Do Simple Transformations of Text and Image Features Impact Cosine-Based Semantic Match? ECIR (1) 2021: 98-114 - [c187]Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto:
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. EMNLP (1) 2021: 3016-3022 - [c186]Robin De Croon, Artuur Leeuwenberg, Jan Aerts, Marie-Francine Moens, Vero Vanden Abeele, Katrien Verbert:
TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports. IUI Companion 2021: 34-36 - [c185]Erfan Ghadery, Damien Sileo, Marie-Francine Moens:
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features. SemEval@ACL/IJCNLP 2021: 1015-1019 - [c184]Mateusz Krubinski, Erfan Ghadery, Marie-Francine Moens, Pavel Pecina:
Just Ask! Evaluating Machine Translation by Asking and Answering Questions. WMT@EMNLP 2021: 495-506 - [c183]