Sorted by stars. Case studies can be particularly useful for understanding how different elements fit together and how different elements (implementation, context and other factors) have produced the observed impacts. KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification A counterfactual statement is a conditional statement with a false antecedent. Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. GenNI: Human-AI Collaboration for Data-Backed Text Generation Authors: Hendrik Strobelt, Jambay Kinley, Robert Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. 5.5.1 Learn Rules from a Single Feature (OneR). Sorted by stars. e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks M. Kayser, O.-M. Camburu, L. Salewski, C. Emde, V. Do, Z. Akata and T. Lukasiewicz International Conference on Computer Vision (ICCV 2021), 2021 5.5.1 Learn Rules from a Single Feature (OneR). The biggest strength but also the biggest weakness of the linear regression model is that the prediction is modeled as a weighted sum of the features. From a systematic review of the literature, five categories can be delineated: production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic. 5.3 GLM, GAM and more. Generation of natural looking noise has many application within simulation, procedural generation, and art, to name a few. 3. The interviews are loosely structured, relying on a list of issues to be discussed. Crawl & visualize ICLR papers and reviews. Generating and evaluating scientific evidence and explanations encompasses the knowledge and skills used for building and refining models and explanations (conceptual, computational, mechanistic), designing and analyzing empirical investigations and observations, and constructing and defending arguments with empirical evidence. - GitHub - zziz/pwc: Papers with code. Swarnadeep Saha, Yixin Nie and Mohit Bansal. The Rise of the New Mechanism. 1 Definitions. 1. Empowering Language Understanding with Counterfactual Reasoning. The OneR algorithm suggested by Holte (1993) 19 is one of the simplest rule induction algorithms. ei Jin, Z., Peng, Z., Vaidhya, T., Schlkopf, B., Mihalcea, R. Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2021 (conference) Accepted Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. The Rise of the New Mechanism. The interviews are loosely structured, relying on a list of issues to be discussed. On the Interaction of Belief Bias and Explanations. From all the features, OneR selects the one that carries the most information about the outcome of interest and creates decision rules from this feature. Key informant interviews resemble a conversation among acquaintances, allowing a free flow of ideas and information.
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