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Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality ...
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ANLIzing the Adversarial Natural Language Inference Dataset
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ...
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FLAVA: A Foundational Language And Vision Alignment Model ...
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I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ...
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Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ...
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Gradient-based Adversarial Attacks against Text Transformers ...
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On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ...
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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ...
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Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning
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In: J Neurosci (2021)
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Emergent Linguistic Phenomena in Multi-Agent Communication Games ...
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Inferring concept hierarchies from text corpora via hyperbolic embeddings ...
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Inferring concept hierarchies from text corpora via hyperbolic embeddings
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In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019)
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Abstract:
We consider the task of inferring is-a relationships from large text corpora. For this purpose, we propose a new method combining hyperbolic embeddings and Hearst patterns. This approach allows us to set appropriate constraints for inferring concept hierarchies from distributional contexts while also being able to predict missing is -a-relationships and to correct wrong extractions. Moreover - and in contrast with other methods - the hierarchical nature of hyperbolic space allows us to learn highly efficient representations and to improve the taxonomic consistency of the inferred hierarchies. Experimentally, we show that our approach achieves state-of-the-art performance on several commonly-used benchmarks.
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URL: https://hdl.handle.net/20.500.11850/445083 https://doi.org/10.3929/ethz-b-000445083
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Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ...
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Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ...
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HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ...
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