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WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ...
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ...
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Specializing Multilingual Language Models: An Empirical Study ...
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Challenges in Automated Debiasing for Toxic Language Detection ...
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NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
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Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank ...
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Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings ...
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Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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Grounded Compositional Outputs for Adaptive Language Modeling ...
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Polyglot Contextual Representations Improve Crosslingual Transfer ...
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Situating Sentence Embedders with Nearest Neighbor Overlap ...
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Abstract:
As distributed approaches to natural language semantics have developed and diversified, embedders for linguistic units larger than words have come to play an increasingly important role. To date, such embedders have been evaluated using benchmark tasks (e.g., GLUE) and linguistic probes. We propose a comparative approach, nearest neighbor overlap (N2O), that quantifies similarity between embedders in a task-agnostic manner. N2O requires only a collection of examples and is simple to understand: two embedders are more similar if, for the same set of inputs, there is greater overlap between the inputs' nearest neighbors. Though applicable to embedders of texts of any size, we focus on sentence embedders and use N2O to show the effects of different design choices and architectures. ... : 17 pages, 7 figures ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1909.10724 https://dx.doi.org/10.48550/arxiv.1909.10724
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Low-Resource Parsing with Crosslingual Contextualized Representations ...
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Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning ...
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Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning ...
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Nonparametric Word Segmentation for Machine Translation ...
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Unsupervised Bilingual POS Tagging with Markov Random Fields ...
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Unsupervised Bilingual POS Tagging with Markov Random Fields ...
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