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Publication: TIPSTER (2018)

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AbstractThe analysis of crowdsourced annotations in natural language processing is concerned with identifying (1) gold standard labels, (2) annotator accuracies and biases, and (3) item difficulties and error patterns. Traditionally, …...

27198

FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection

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Publication: TIPSTER (2020)

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AbstractIn this paper we present our submission to sub-task A at SemEval 2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval2). For Danish, Turkish, Arabic and Greek, we …...

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Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training

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Publication: TIPSTER (2020)

DOI: nan

AbstractUnsupervised neural machine translation (UNMT) has recently attracted great interest in the machine translation community. The main advantage of the UNMT lies in its easy collection of required large training …...

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Quantifying Appropriateness of Summarization Data for Curriculum Learning

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42704

Few Clean Instances Help Denoising Distant Supervision

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AbstractExisting distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems. To alleviate the problem, we study whether a …...

4994

Comparative evaluation of boundary-relaxed annotation for Entity Linking performance

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractEntity Linking performance has a strong reliance on having a large quantity of high-quality annotated training data available. Yet, manual annotation of named entities, especially their boundaries, is ambiguous, error-prone, …...

38366

Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining

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Publication: TIPSTER (2023)

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AbstractAdvances in neural modeling have achieved state-of-the-art (SOTA) results on public natural language processing (NLP) benchmarks, at times surpassing human performance. However, there is a gap between public benchmarks and …...

42983