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A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios [article]

Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
2021 arXiv   pre-print
Motivated by the recent fundamental changes towards neural models and the popular pre-train and fine-tune paradigm, we survey promising approaches for low-resource natural language processing.  ...  As they are known for requiring large amounts of training data, there is a growing body of work to improve the performance in low-resource settings.  ...  Distant super- the 18th BioNLP Workshop and Shared Task, pages vision from disparate sources for low-resource part- 105–114, Florence, Italy.  ... 
arXiv:2010.12309v3 fatcat:26dwmlkmn5auha2ob2qdlrvla4

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain

Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis Langlotz, Dina Demner-Fushman
2021 Proceedings of the 20th Workshop on Biomedical Language Processing   unpublished
The MEDIQA 2021 shared tasks at the BioNLP 2021 workshop addressed three tasks on summarization for medical text: (i) a question summarization task aimed at exploring new approaches to understanding complex  ...  Thirty-five teams participated in these shared tasks with sixteen working notes submitted (fifteen accepted) describing a wide variety of models developed and tested on the shared and external datasets  ...  Acknowledgments This research was partially supported by the Intramural Research Program of the National Library of Medicine, National Institutes of Health.  ... 
doi:10.18653/v1/2021.bionlp-1.8 fatcat:nvl63wg42vhyraxecm2bjug4im

Neural methods for entity-centric knowledge extraction and reasoning in natural language

Rajarshi Bhowmik
In particular, for factual knowledge extraction, it proposes efficient and effective methods for the tasks of Entity Linking and Relation Extraction.  ...  Furthermore, as a representative of knowledge-intensive natural language processing tasks, this dissertation studies the problem of entity summarization to retrieve relevant facts and generate fact-allegiant  ...  Ammar, “ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing,” in Proceedings of the 18th BioNLP Workshop and Shared Task, Florence, Italy: Association for Computational  ... 
doi:10.7282/t3-gk5z-3g02 fatcat:jraokdwidrhk7ae2jrdqftqdfu

Διερεύνηση της γεωλογικής δομής και της τεκτονικής παραμόρφωσης της Σερβομακεδονικής Μάζας στα όρη των Κερδυλλίων και Βερτίσκου (Βόρεια Ελλάδα)

Αναστάσιος Π. Πλούγαρλης
It is geotectonically located in the Serbo-Macedonian Massif of the Hellenic Hinterland and occupies the area where the contact of the Vertiskos and Kerdyllion units outcrops.  ...  The present thesis aims at the detailed study of the tectonostratigraphy and deforming evolution of this very important area, at the boundary of the units comprising the Serbo-Macedonian Massif.  ...  In Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016, pages 78–86. Marina Litvak and Mark Last. 2008.  ... 
doi:10.26262/ fatcat:snneggenqzdnvbl7kn7zpztqqq