Cqa dataset
WebMar 6, 2024 · Datasets Researchers from Stanford University have released a new large-scale dataset for compositional question answering called CQA. The new dataset, … WebMay 18, 2024 · Experiments show that: (1) Our knowledge-to-text framework is effective and achieves state-of-the-art performance on CommonsenseQA dataset, providing a simple …
Cqa dataset
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WebThis repository contains the publicly released dataset for the Explanations for CommonsenseQA paper, presented at ACL-IJCNLP 2024. We provide the complete … WebApr 21, 2024 · In this work, we present a hierarchical encoder based on structural attention to model such inter-sentence and inter-document dependencies. We set the popular pointer-generator architecture and some of the architectures derived from it as our baselines and show that they fail to generate good summaries in a multi-document setting.
Web101 rows · CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers . It … WebWe human-annotate a first-of-its-kind dataset (called ECQA) of positive and negative properties, as well as free-flow explanations, for 11K QA pairs taken from the CQA …
WebThe statistics of the StackExchange dataset are presented in Table 2, which is a real-life CQA dataset containing data with long answers from different domains, including travel, … WebThe CQA dataset can be downloaded in .zip format at the link: Dialog zip link CQA-12K a smaller subset of the above CQA dataset, consisting of 10K QA pairs for training and 1K …
WebNov 21, 2024 · OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject. It consists of 5,957 multiple-choice elementary-level science questions (4,957 train, 500 dev, 500 test), which probe the understanding of a small “book” of 1,326 core science facts and the application …
WebJan 17, 2024 · In this paper we address the problem of Community Question Answering (CQA) for Arabic language. We mainly explore the direction of combining both lexical and semantic features for enhancing the retrieval task of possible answers to a posted question. We show a comprehensive evaluation on the SEMEval2024 CQA dataset for Arabic … patch igpu opencore con vram non settabileWebOct 8, 2024 · We aim to solve the CQA task [1], which is answering factual questions through complex inferring over a realistic-sized KG of millions of entities. We could check the details of the CQA dataset here. All the materials required for running the KG sever, training the model, and testing in this task could be downloaded from the data link. カインドウェア ソシアルWebMay 18, 2024 · Experiments show that: (1) Our knowledge-to-text framework is effective and achieves state-of-the-art performance on CommonsenseQA dataset, providing a simple and strong knowledge-enhanced baseline for CQA; (2) The potential of knowledge is still far from being fully exploited in CQA — there is a significant performance gap from current … カインズ 鳥取 ペットホテルWebWe focus on the Basque language, and present the first non-English CQA dataset and results. Our experiments show that it is possible to obtain good results with low amounts … カインドWebJun 1, 2024 · Finally, we carry out comparative experiments along with benchmark models and counterpart methods on two real-world CQA datasets from Stack Exchange and … カインとWebNov 22, 2024 · The statistics of the StackExchange dataset are presented in Table 2, which is a real-life CQA dataset containing data with long answers from different domains, including travel, cooking, academia, apple, and aviation. We adopt WikiHowQA as the source dataset for transfer learning due to its high quality and large quantity, while … カインとアベルWebJan 4, 2024 · Experiments show that: (1) Our knowledge-to-text framework is effective and achieves state-of-the-art performance on CommonsenseQA dataset, providing a simple and strong knowledge-enhanced baseline for CQA; (2) The potential of knowledge is still far from being fully exploited in CQA -- there is a significant performance gap from current models … カインドウェア フォーマル