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05/23/2023
WebIE: Faithful and Robust Information Extraction on the Web
Extracting structured and grounded fact triples from raw text is a funda...
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06/27/2022
Endowing Language Models with Multimodal Knowledge Graph Representations
We propose a method to make natural language understanding models more p...
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05/07/2022
UniMorph 4.0: Universal Morphology
The Universal Morphology (UniMorph) project is a collaborative effort pr...
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10/27/2021
IndoNLI: A Natural Language Inference Dataset for Indonesian
We present IndoNLI, the first human-elicited NLI dataset for Indonesian....
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06/01/2021
Comparing Test Sets with Item Response Theory
Recent years have seen numerous NLP datasets introduced to evaluate the ...
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06/01/2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Crowdsourcing is widely used to create data for common natural language ...
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10/13/2020
Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options
Large-scale natural language inference (NLI) datasets such as SNLI or MN...
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09/30/2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Pretrained language models, especially masked language models (MLMs) hav...
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08/20/2020
VisualSem: a high-quality knowledge graph for vision and language
We argue that the next frontier in natural language understanding (NLU) ...
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05/26/2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Intermediate-task training has been shown to substantially improve pretr...
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05/01/2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natur...
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09/06/2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Parsers are available for only a handful of the world's languages, since...
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03/22/2019
LINSPECTOR: Multilingual Probing Tasks for Word Representations
Despite an ever growing number of word representation models introduced ...
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08/28/2018
What do character-level models learn about morphology? The case of dependency parsing
When parsing morphologically-rich languages with neural models, it is be...
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04/26/2017