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Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
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Could you give me a hint? Generating inference graphs for defeasible reasoning ...
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Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
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Could you give me a hint ? Generating inference graphs for defeasible reasoning ...
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Investigating Robustness of Dialog Models to Popular Figurative Language Constructs ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.592/ Abstract: Humans often employ figurative language use in communication, including during interactions with dialog systems. Thus, it is important for real-world dialog systems to be able to handle popular figurative language constructs like metaphor and simile. In this work, we analyze the performance of existing dialog models in situations where the input dialog context exhibits use of figurative language. We observe large gaps in handling of figurative language when evaluating the models on two open domain dialog datasets. When faced with dialog contexts consisting of figurative language, some models show very large drops in performance compared to contexts without figurative language. We encourage future research in dialog modeling to separately analyze and report results on figurative language in order to better test model capabilities relevant to real-world use. Finally, we propose lightweight solutions to help existing models become ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/szdg-pw66 https://underline.io/lecture/37900-investigating-robustness-of-dialog-models-to-popular-figurative-language-constructs
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Measuring and Improving Consistency in Pretrained Language Models ...
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More Identifiable yet Equally Performant Transformers for Text Classification ...
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Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation ...
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Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding ...
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SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers ...
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Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ...
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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ...
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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ...
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Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ...
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Extracting Implicitly Asserted Propositions in Argumentation ...
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Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? ...
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On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT ...
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On aligning OpenIE extractions with Knowledge Bases: A case study
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Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks
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In: Computational Linguistics, Vol 45, Iss 4, Pp 627-665 (2020) (2020)
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