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Found 10 papers, 6 papers with code
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
To tackle the challenge, we propose a joint learning approach, with English SLU training data and non-English auxiliary tasks from raw text, syntax and translation for transfer.
Neural Unsupervised Domain Adaptation in NLP---A Survey
We also revisit the notion of domain, and we uncover a bias in the type of Natural Language Processing tasks which received most attention.
Out-of-Distribution Generalization
Unsupervised Domain Adaptation
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
In this paper we present MaChAmp, a toolkit for easy fine-tuning of contextualized embeddings in multi-task settings.
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech Detection
Avoiding to rely on dataset artifacts to predict hate speech is at the cornerstone of robust and fair hate speech detection.
DH-FBK at SemEval-2022 Task 4: Leveraging Annotators’ Disagreement and Multiple Data Views for Patronizing Language Detection
The subtle and typically unconscious use of patronizing and condescending language (PCL) in large-audience media outlets undesirably feeds stereotypes and strengthens power-knowledge relationships, perpetuating discrimination towards vulnerable communities.
Ranked #3 on
Binary Condescension Detection
on DPM
Binary Condescension Detection
Multi-label Condescension Detection
Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction
Biomedical event extraction is a crucial task in order to automatically extract information from the increasingly growing body of biomedical literature.
Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing
However, for Italian, there is no benchmark available for lexical normalization, despite the presence of many benchmarks for other tasks involving social media data.
Biomedical Event Extraction as Sequence Labeling
We introduce Biomedical Event Extraction as Sequence Labeling (BeeSL), a joint end-to-end neural information extraction model.
MultiLexNorm: A Shared Task on Multilingual Lexical Normalization
This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation.
Language Varieties of Italy: Technology Challenges and Opportunities
Italy is characterized by a one-of-a-kind linguistic diversity landscape in Europe, which implicitly encodes local knowledge, cultural traditions, artistic expressions and history of its speakers.
