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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 What is Your Article Based On? Inferring Fine-grained Provenance ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ives, Zack; Roth, Dan. - : Underline Science Inc., 2021 BASE Show details 2 {Z}ero-shot {L}abel-Aware {E}vent {T}rigger and {A}rgument {C}lassification ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Roth, Dan; Wang, Haoyu. - : Underline Science Inc., 2021 BASE Show details 3 Event-Centric Natural Language Processing ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Muhao; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 4 Zero-shot Event Extraction via Transfer Learning: Challenges and Insights ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Lyu, Qing; Roth, Dan. - : Underline Science Inc., 2021 BASE Show details 5 Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bedrax-Weiss, Tania; Deutsch, Daniel; Roth, Dan. - : Underline Science Inc., 2021 Abstract: Read paper: NA Abstract: A desirable property of a reference-based evaluation metric that measures the content quality of a summary is that it should estimate how much information that summary has in common with a reference. Traditional text overlap based metrics such as ROUGE fail to achieve this because they are limited to matching tokens, either lexically or via embeddings. In this work, we propose a metric to evaluate the content quality of a summary using question-answering (QA). QA-based methods directly measure a summary's information overlap with a reference, making them fundamentally different than text overlap metrics. We demonstrate the experimental benefits of QA-based metrics through an analysis of our proposed metric, QAEval. QAEval out-performs current state-of-the-art metrics on most evaluations using benchmark datasets, while being competitive on others due to limitations of state-of-the-art models. Through a careful analysis of each component of QAEval, we identify its performance ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25674-towards-question-answering-as-an-automatic-metric-for-evaluating-the-content-quality-of-a-summary https://dx.doi.org/10.48448/8mje-vj15 BASE Hide details 6 Constrained Labeled Data Generation for Low-Resource Named Entity Recognition ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Guo, Ruohao; Roth, Dan. - : Underline Science Inc., 2021 BASE Show details

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