Annotated Job Ads with Named Entity Recognition
We have trained a named entity recognition (NER) model that screens Swedish job ads for different kinds of useful information (e.g. skills required from a job seeker). It was obtained by fine-tuning KB-BERT. The biggest challenge we faced was the creation of a labelled dataset, which required manual annotation. This paper gives an overview of the methods we employed to make the annotation process more efficient and to ensure high quality data. We also report on the performance of the resulting model.
Code (0)
등록된 구현이 없습니다.
Tasks
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERSimilar Papers 제목 키워드 기반
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Annotated datasets in different domains are critical for many supervised learning-based solutions to related problems and for the evaluation of the proposed solutions. Topics in natural language processing (NLP) similarl…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Stance DetectionGovernment Domain Named Entity Recognition for South African Languages
This paper describes the named entity language resources developed as part of a development project for the South African languages. The development efforts focused on creating protocols and annotated data sets with at l…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Latvian and Lithuanian Named Entity Recognition with TildeNER
In this paper the author presents TildeNER ― an open source freely available named entity recognition toolkit and the first multi-class named entity recognition system for Latvian and Lithuanian languages. The system i…
Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Projecting named entity recognizers without annotated or parallel corpora
Named entity recognition (NER) is a well-researched task in the field of NLP, which typically requires large annotated corpora for training usable models. This is a problem for languages which lack large annotated corpor…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERBetter Modeling of Incomplete Annotations for Named Entity Recognition
Supervised approaches to named entity recognition (NER) are largely developed based on the assumption that the training data is fully annotated with named entity information. However, in practice, annotated data can ofte…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER