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GenIE: Generative Information Extraction
Related publications (32)
Ontology-based Knowledge Representation for Traditional Martial Arts
Sarah Irene Brutton Kenderdine, Yumeng Hou
Traditional martial arts are treasures of humanity's knowledge and critical carriers of sociocultural memories throughout history. However, such treasured practices have encountered various challenges in knowledge transmission and now feature many entries ...
2024Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning
The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...
EPFL2024The Facets of Intangible Heritage in Southern Chinese Martial Arts: Applying a Knowledge-Driven Cultural Contact Detection Approach
Investigating the intangible nature of a cultural domain can take multiple forms, addressing for example the aesthetic, epistemic and social dimensions of its phenomenology. The context of Southern Chinese martial arts is of particular significance as it c ...
2023Lausanne Historical Censuses Dataset HTR 35k
Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer
This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated to the handwritten text recognition (HTR) of historical sources, typically tabular records, such as censuses. This dataset is based on a sample of 83 pages ...
Zenodo2023Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science
Henry Markram, Sean Lewis Hill, Mohameth François Sy, Samuel Claude Kerrien, Carolina Johanna Elisabeth Lindqvist, Alejandra Garcia Rojas Martinez, Huanxiang Lu, Anna-Kristin Kaufmann, Jonathan Raël Lurie, Henry Genet, Pierre-Alexandre Fonta, Alexander Désiré Ulbrich, Michaël Fernand Paul Dupont, Silvia Rosario Jimenez Tejeda, Bogdan Roman, Ian Lavriushev, Didac Montero Mendez, Wojciech Adam Wajerowicz, Kenneth William Pirman, Julien Antonin Machon, Dhanesh Neela Mana, Natalia Stafeeva
Modern data-driven science often consists of iterative cycles of data discovery, acquisition, preparation, analysis, model building and validation leading to knowledge discovery as well as dissemination at scale. The unique challenges of building and simul ...
2023Unsupervised Term Extraction for Highly Technical Domains
Term extraction is an information extraction task at the root of knowledge discovery platforms. Developing term extractors that are able to generalize across very diverse and potentially highly technical domains is challenging, as annotations for domains r ...
2022End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management
Current task-oriented dialog (TOD) systems mostly manage structured knowledge (e.g. databases and tables) to guide the goal-oriented conversations. However, they fall short of handling dialogs which also involve unstructured knowledge (e.g. reviews and doc ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Mechanical intelligence for learning embodied sensor-object relationships
Intelligence involves processing sensory experiences into representations useful for prediction. Understanding sensory experiences and building these contextual representations without prior knowledge of sensor models and environment is a challenging unsup ...
NATURE PORTFOLIO2022Motion as meaning: Representing embodied knowledge in the multimodal cultural archives
The digitization of intangible cultural heritage (ICH) has grown rapidly since 2003 since UNESCO affirmed the significance of preserving "the practices, representations, expressions, knowledge, skills". Unlike tangible heritage, which is conventionally pro ...
2021Interpreting Language Models Through Knowledge Graph Extraction
Martin Jaggi, Vinitra Swamy, Angeliki Romanou
Transformer-based language models trained on large text corpora have enjoyed immense popularity in the natural language processing community and are commonly used as a starting point for downstream tasks. While these models are undeniably useful, it is a c ...
2021