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Found 7 papers, 1 papers with code
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
Solving crossword puzzles requires diverse reasoning capabilities, access to a vast amount of knowledge about language and the world, and the ability to satisfy the constraints imposed by the structure of the puzzle.
Natural Language Understanding
Open-Domain Question Answering
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BERT Busters: Outlier Dimensions that Disrupt Transformers
Multiple studies have shown that Transformers are remarkably robust to pruning.
Towards Visual Dialog for Radiology
Using MIMIC-CXR, an openly available database of chest X-ray images, we construct both a synthetic and a real-world dataset and provide baseline scores achieved by state-of-the-art models.
A Primer in BERTology: What we know about how BERT works
Transformer-based models have pushed state of the art in many areas of NLP, but our understanding of what is behind their success is still limited.
Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential
Calls to action on social media are known to be effective means of mobilization in social movements, and a frequent target of censorship.
Revealing the Dark Secrets of BERT
BERT-based architectures currently give state-of-the-art performance on many NLP tasks, but little is known about the exact mechanisms that contribute to its success.
Similarity-Based Reconstruction Loss for Meaning Representation
This paper addresses the problem of representation learning.
