Search Results for author:
Found 9 papers, 8 papers with code
Evidence > Intuition: Transferability Estimation for Encoder Selection
With the increase in availability of large pre-trained language models (LMs) in Natural Language Processing (NLP), it becomes critical to assess their fit for a specific target task a priori - as fine-tuning the entire space of available LMs is computationally prohibitive and unsustainable.
Skill Extraction from Job Postings using Weak Supervision
Aggregated data obtained from job postings provide powerful insights into labor market demands, and emerging skills, and aid job matching.
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Skill Classification (SC) is the task of classifying job competences from job postings.
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
We introduce a BERT baseline (Devlin et al., 2019).
Experimental Standards for Deep Learning in Natural Language Processing Research
The field of Deep Learning (DL) has undergone explosive growth during the last decade, with a substantial impact on Natural Language Processing (NLP) as well.
Cartography Active Learning
We propose Cartography Active Learning (CAL), a novel Active Learning (AL) algorithm that exploits the behavior of the model on individual instances during training as a proxy to find the most informative instances for labeling.
De-identification of Privacy-related Entities in Job Postings
We present JobStack, a new corpus for de-identification of personal data in job vacancies on Stackoverflow.
The Effect of Translationese in Machine Translation Test Sets
The effect of translationese has been studied in the field of machine translation (MT), mostly with respect to training data.
Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate
The first task (A) is to decide whether a given tweet contains hate against immigrants or women, in a multilingual perspective, for English and Spanish.
