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Neural Search in the Low-Resource Scenario

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The Unit for Linguistic Data at the Data Science Institute, National University of Ireland Galway is delighted to welcome Nils Reimers, research scientist at Hugging Face, to be the next speaker in our seminar series. He will talk about his research on the application of neural networks in low resource settings.

Abstract:

Search results can be significantly improved by using neural networks; however, those models are often fine-tuned on hundred thousands of annotated data pairs. For many cases and languages other than English, such large labelled datasets are sadly seldom available. This talk will cover different approaches and how to train these methods if no or only little labelled data is available.

About the Speaker:

Nils Reimers holds the position of Research Scientist at Hugging Face. He is not only an NLP scientist but a professional web developer. He is also interested in entrepreneurship and especially interested in IT start-ups that use bleeding-edge technology.

Dr Reimers is an expert in Natural Language Processing with a particular focus on deep learning. His main research interest is in representing the semantics of words, sentences, and paragraphs in vector spaces such that texts with similar meanings are close. He has also developed state-of-the-art open-source solutions commonly known as Sentence BERT(SBERT), which are very popular in research & industry.

Host:

The seminar series is led by the Cardamom project team. The Cardamom project aims to close the resource gap for minority and under-resourced languages using deep-learning-based natural language processing (NLP) and exploiting similarities of closely related languages. The project further extends this idea to historical languages, which can be considered closely related to their modern form. It aims to provide NLP through both space and time for languages that current approaches have ignored.


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Organiser Unit for Linguistic Data, DSI, NUIG

Organiser of Cardamom Seminar Series

Cardamom Seminar Series is hosted by the Cardamom Project team. The Cardamom project is funded by the Irish Research Council under the Consolidator Laureate Award scheme (grant number IRCLA/2017/129), with John P. McCrae as principal investigator. The project will run from 2019–2023 and is hosted within the Unit for Linguistic Data in the Insight Centre for Data Analytics, Data Science Institute at the National University of Ireland Galway.

The Unit for Linguistic Data (ULD), led by Dr John P. McCrae, is concerned with the creation, improvement and maintenance of linguistic data (also known as language resources) through a variety of methods. The major applications of linguistic data are the use of already developed NLP technologies in new languages and domains. As such, a major part of this group's work is on under-resourced languages, and there is much ongoing work on the development of technologies for minority languages as well as active collaboration with the Irish Department and the Moore Institute on the development of NLP techniques for historical languages, in particular Old Irish. Furthermore, the unit is working on expanding WordNet to many under-resourced languages by means of machine translation.

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