Search Results - "Gravier, Christophe"
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Guest Editorial: The Many Facets of Remote Laboratories in Online Engineering Education
Published in IEEE transactions on learning technologies (01-10-2009)“…The nine papers in this special issue focus on the many facets of remote laboratories in online engineering education…”
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Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples
Published in Web semantics (01-10-2018)“…Most people need textual or visual interfaces in order to make sense of Semantic Web data. In this paper, we investigate the problem of generating natural…”
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Context Awareness as a Service for Cloud Resource Optimization
Published in IEEE internet computing (01-01-2015)“…Cloud computing architectures involve different actors that can be divided into four categories: infrastructure- and platform-as-a-service providers, PaaS…”
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Smart places: Multi-agent based smart mobile virtual community management system
Published in Applied intelligence (Dordrecht, Netherlands) (01-12-2014)“…Now-a-days advances in mobile device technology aim to build complex computational systems providing a maximum level of flexibility, decentralization, simplest…”
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Adaptive System for Collaborative Online Laboratories
Published in IEEE intelligent systems (01-07-2012)“…Group activities are important aspects of the traditional laboratory experience. A framework using Semantic Web technologies supports collaborative strategies…”
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Quality of Experience, a Very Personal Experience
Published in 2013 24th International Workshop on Database and Expert Systems Applications (01-08-2013)“…At the Pervasive Computing area, end users expect to receive a multimedia service with an acceptable quality, anytime, and anywhere. Measuring this…”
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Conference Proceeding -
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QAnswer: Towards Question Answering Search over Websites
Published 17-01-2024“…Question Answering (QA) is increasingly used by search engines to provide results to their end-users, yet very few websites currently use QA technologies for…”
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Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints
Published 17-01-2024“…The progress introduced by pre-trained language models and their fine-tuning has resulted in significant improvements in most downstream NLP tasks. The…”
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Wikidata as a seed for Web Extraction
Published 15-01-2024“…Wikidata has grown to a knowledge graph with an impressive size. To date, it contains more than 17 billion triples collecting information about people, places,…”
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An investigation of structures responsible for gender bias in BERT and DistilBERT
Published 12-01-2024“…21st International Symposium on Intelligent Data Analysis, IDA 2023 In recent years, large Transformer-based Pre-trained Language Models (PLM) have changed the…”
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Fair Text Classification with Wasserstein Independence
Published 21-11-2023“…Group fairness is a central research topic in text classification, where reaching fair treatment between sensitive groups (e.g. women vs. men) remains an open…”
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Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints
Published in 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI) (06-11-2023)“…The progress introduced by pre-trained language models and their fine-tuning has resulted in significant improvements in most downstream NLP tasks. The…”
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Conference Proceeding -
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ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning
Published 27-05-2021“…Recent research considers few-shot intent detection as a meta-learning problem: the model is learning to learn from a consecutive set of small tasks named…”
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A hashtags dictionary from crowdsourced definitions
Published in 2014 IEEE 30th International Conference on Data Engineering Workshops (01-03-2014)“…Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its…”
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Conference Proceeding -
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A Neural Few-Shot Text Classification Reality Check
Published 28-01-2021“…Modern classification models tend to struggle when the amount of annotated data is scarce. To overcome this issue, several neural few-shot classification…”
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Near-lossless Binarization of Word Embeddings
Published 15-11-2018“…Word embeddings are commonly used as a starting point in many NLP models to achieve state-of-the-art performances. However, with a large vocabulary and many…”
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About the reusable software remote laboratories have in common
Published in Journal of digital information management (01-06-2009)“…In this paper, we present a new device brought online thanks to our Collaborative Remote Laboratories framework. Whereas previous devices integrated in our…”
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FoP: Never-Ending Learner for Multimedia Knowledge Extraction
Published in 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (01-08-2014)“…In this paper we present our system Faces of Politics (henceforth FoP), that is able to continuously learn multimedia knowledge of Web multimedia resources…”
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Conference Proceeding -
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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
Published 19-02-2018“…We present a neural model for question generation from knowledge base triples in a "Zero-Shot" setup, that is generating questions for triples containing…”
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Multi-agent Systems for Personalized QoE-Management
Published in 2016 28th International Teletraffic Congress (ITC 28) (01-09-2016)“…User satisfaction is becoming a key factor to secure the success of any online service. Quality of Experience is a subjective measure of the service quality as…”
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Conference Proceeding