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11/16/2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
While advances in pre-training have led to dramatic improvements in few-...
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11/07/2022
Fixing Model Bugs with Natural Language Patches
Current approaches for fixing systematic problems in NLP models (e.g. re...
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11/02/2022
Characterizing Intrinsic Compositionality in Transformers with Tree Projections
When trained on language data, do transformers learn some arbitrary comp...
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05/05/2020
ExpBERT: Representation Engineering with Natural Language Explanations
Suppose we want to specify the inductive bias that married couples typic...
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12/12/2019
CLOSURE: Assessing Systematic Generalization of CLEVR Models
The CLEVR dataset of natural-looking questions about 3D-rendered scenes ...
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11/30/2018
Systematic Generalization: What Is Required and Can It Be Learned?
Numerous models for grounded language understanding have been recently p...
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09/28/2018
Embedded-State Latent Conditional Random Fields for Sequence Labeling
Complex textual information extraction tasks are often posed as sequence...
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07/13/2018
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
Extraction from raw text to a knowledge base of entities and fine-graine...
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05/17/2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Embedding methods which enforce a partial order or lattice structure ove...
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11/15/2017
Finer Grained Entity Typing with TypeNet
We consider the challenging problem of entity typing over an extremely f...
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08/02/2017
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
In textual information extraction and other sequence labeling tasks it i...
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06/02/2017