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Found 11 papers, 5 papers with code
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
An alternative approach is Counterfactual Data Augmentation (CDA), in which a corpus is duplicated and augmented to remove bias, e. g. by swapping all inherently-gendered words in the copy.
Information-Theoretic Probing for Linguistic Structure
The success of neural networks on a diverse set of NLP tasks has led researchers to question how much these networks actually ``know'' about natural language.
A Tale of a Probe and a Parser
One such probe is the structural probe (Hewitt and Manning, 2019), designed to quantify the extent to which syntactic information is encoded in contextualised word representations.
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages.
Metaphor Detection using Context and Concreteness
We report the results of our system on the Metaphor Detection Shared Task at the Second Workshop on Figurative Language Processing 2020.
Speakers Fill Lexical Semantic Gaps with Context
For a language to be clear and efficiently encoded, we posit that the lexical ambiguity of a word type should correlate with how much information context provides about it, on average.
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
One method of doing so, which is frequently cited to support the claim that models like BERT encode syntax, is called probing; probes are small supervised models trained to extract linguistic information from another model's output.
UniMorph 4.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Metaphorical Polysemy Detection: Conventional Metaphor meets Word Sense Disambiguation
Additionally, when paired with a WSD model, our approach outperforms a state-of-the-art metaphor detection model at identifying conventional metaphors in text (. 659 F1 compared to . 626).
Homonymy Information for English WordNet
The outcome of our work is a high-quality homonymy annotation layer for Princeton WordNet, which we release.
ChainNet: Structured Metaphor and Metonymy in WordNet
The senses of a word exhibit rich internal structure.
