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1
Characterizing Idioms: Conventionality and Contingency ...
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2
Optimizing Deeper Transformers on Small Datasets ...
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3
Textual Time Travel: A Temporally Informed Approach to Theory of Mind ...
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4
Modeling Event Plausibility with Consistent Conceptual Abstraction ...
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5
ADEPT: An Adjective-Dependent Plausibility Task ...
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6
An Analysis of Dataset Overlap on Winograd-Style Tasks ...
Abstract: The Winograd Schema Challenge (WSC) and variants inspired by it have become important benchmarks for common-sense reasoning (CSR). Model performance on the WSC has quickly progressed from chance-level to near-human using neural language models trained on massive corpora. In this paper, we analyze the effects of varying degrees of overlap between these training corpora and the test instances in WSC-style tasks. We find that a large number of test instances overlap considerably with the corpora on which state-of-the-art models are (pre)trained, and that a significant drop in classification accuracy occurs when we evaluate models on instances with minimal overlap. Based on these results, we develop the KNOWREF-60K dataset, which consists of over 60k pronoun disambiguation problems scraped from web data. KNOWREF-60K is the largest corpus to date for WSC-style common-sense reasoning and exhibits a significantly lower proportion of overlaps with current pretraining corpora. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6166-an-analysis-of-dataset-overlap-on-winograd-style-tasks
https://dx.doi.org/10.48448/tpe7-4w79
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7
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT ...
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8
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms ...
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9
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization ...
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10
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data ...
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11
Distributional Semantics for Robust Automatic Summarization
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12
Entity-based local coherence modelling using topological fields
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 186-195
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