Search Results - "FERRARO, Gabriela"

Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French by Nazar, Rogelio, Balvet, Antonio, Ferraro, Gabriela, Marín, Rafael, Renau, Irene

“…In this paper we present the problem of a noisy lexical taxonomy and suggest two tasks as potential remedies. The first task is to identify and eliminate…”
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Towards advanced collocation error correction in Spanish learner corpora by Ferraro, Gabriela, Nazar, Rogelio, Ramos, Margarita Alonso, Wanner, Leo

“…Collacations in the sense of idiosyncratic binary lexical co-occurrences are one of the biggest challenges for any language learner. Even advanced learners…”
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Towards the derivation of verbal content relations from patent claims using deep syntactic structures by Ferraro, Gabriela, Wanner, Leo

“…Research on the extraction of content relations from text corpora is a high-priority topic in natural language processing. This is not surprising since content…”
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Transfer learning for hate speech detection in social media by Yuan, Lanqin, Wang, Tianyu, Ferraro, Gabriela, Suominen, Hanna, Rizoiu, Marian-Andrei

“…Today, the internet is an integral part of our daily lives, enabling people to be more connected than ever before. However, this greater connectivity and…”
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Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries by Wanner, Leo, Ferraro, Gabriela, Moreno, Pol

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Teleconsultation Between Patients and Health Care Professionals in the Catalan Primary Care Service: Message Annotation Analysis in a Retrospective Cross-Sectional Study by López Seguí, Francesc, Walsh, Sandra, Solans, Oscar, Adroher Mas, Cristina, Ferraro, Gabriela, García-Altés, Anna, García Cuyàs, Francesc, Salvador Carulla, Luis, Sagarra Castro, Marta, Vidal-Alaball, Josep

“…Over the last decade, telemedicine services have been introduced in the public health care systems of several industrialized countries. In Catalonia, the use…”
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Pruning and repopulating a lexical taxonomy: experiments in Spanish, English and French by Nazar, Rogelio, Balvet, Antonio, Ferraro, Gabriela, Marín, Rafael, Renau, Irene

“…In this paper we present the problem of a noisy lexical taxonomy and suggest two tasks as potential remedies. The first task is to identify and eliminate…”
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Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations by Suominen, Hanna, Zhou, Liyuan, Hanlen, Leif, Ferraro, Gabriela

“…Over a tenth of preventable adverse events in health care are caused by failures in information flow. These failures are tangible in clinical handover;…”
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Lightme: analysing language in internet support groups for mental health by Ferraro, Gabriela, Loo Gee, Brendan, Ji, Shenjia, Salvador-Carulla, Luis

“…Background Assisting moderators to triage harmful posts in Internet Support Groups is relevant to ensure its safe use. Automated text classification methods…”
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Argentine plant extracts active against polymerase and ribonuclease H activities of HIV-1 reverse transcriptase by Hnatyszyn, Oksana, Broussalis, Adriana, Herrera, Gilda, Muschietti, Liliana, Coussio, Jorge, Martino, Virginia, Ferraro, Gabriela, Font, María, Monge, Antonio, Martínez-Irujo, Juan José, Sanromán, Marcos, Cuevas, M. Teresa, Santiago, Esteban, Lasarte, Juan José

“…Lipophilic and hydrophilic extracts of four Argentine plants (Gamochaeta simplicaulis Cabr. 1, Achyrocline flaccida Wein. D. C. 2, Eupatorium buniifolium H. et…”
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Classification and information management for patent collections: a literature review and some research questions by Meireles, Magali Rezende Gouvêa, Ferraro, Gabriela, Geva, Shlomo

“…With the growth of digital patent collections, and increased open accessibility, the ability to automatically organize these collections had become desirable…”
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Towards advanced collocation error correction in Spanish learner corpora: Resources for Language Learning by FERRARO, Gabriela, NAZAR, Rogelio, RAMOS, Margarita Alonso, WANNER, Leo

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Explore BiLSTM-CRF-Based Models for Open Relation Extraction by Ni, Tao, Wang, Qing, Ferraro, Gabriela

“…Extracting multiple relations from text sentences is still a challenge for current Open Relation Extraction (Open RE) tasks. In this paper, we develop several…”
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Transfer Learning for Hate Speech Detection in Social Media by Yuan, Lanqin, Wang, Tianyu, Ferraro, Gabriela, Suominen, Hanna, Rizoiu, Marian-Andrei

“…Today, the internet is an integral part of our daily lives, enabling people to be more connected than ever before. However, this greater connectivity and…”
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Lightme: Analysing Language in Internet Support Groups for Mental Health by Ferraro, Gabriela, Gee, Brendan Loo, Ji, Shenjia, Salvador-Carulla, Luis

“…Background: Assisting moderators to triage harmful posts in Internet Support Groups is relevant to ensure its safe use. Automated text classification methods…”
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Learning to Continually Learn Rapidly from Few and Noisy Data by Kuo, Nicholas I-Hsien, Harandi, Mehrtash, Fourrier, Nicolas, Walder, Christian, Ferraro, Gabriela, Suominen, Hanna

“…Neural networks suffer from catastrophic forgetting and are unable to sequentially learn new tasks without guaranteed stationarity in data distribution…”
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Plastic and Stable Gated Classifiers for Continual Learning by Kuo, Nicholas I-Hsien, Harandi, Mehrtash, Fourrier, Nicolas, Walder, Christian, Ferraro, Gabriela, Suominen, Hanna

“…Conventional neural networks are mostly high in plasticity but low in stability. Hence, catastrophic forgetting tends to occur over the sequential training of…”
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MTL2L: A Context Aware Neural Optimiser by Kuo, Nicholas I-Hsien, Harandi, Mehrtash, Fourrier, Nicolas, Walder, Christian, Ferraro, Gabriela, Suominen, Hanna

“…Learning to learn (L2L) trains a meta-learner to assist the learning of a task-specific base learner. Previously, it was shown that a meta-learner could learn…”
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M2SGD: Learning to Learn Important Weights by Kuo, Nicholas I-Hsien, Harandi, Mehrtash, Fourrier, Nicolas, Walder, Christian, Ferraro, Gabriela, Suominen, Hanna

“…Meta-learning concerns rapid knowledge acquisition. One popular approach cast optimisation as a learning problem and it has been shown that learnt neural…”
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An Input Residual Connection for Simplifying Gated Recurrent Neural Networks by Kuo, Nicholas I. H., Harandi, Mehrtash, Fourrier, Nicolas, Walder, Christian, Ferraro, Gabriela, Suominen, Hanna

“…Gated Recurrent Neural Networks (GRNNs) are important models that continue to push the state-of-the-art solutions across different machine learning problems…”
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