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Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics ...
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Question-Based Salient Span Selection for More Controllable Text Summarization ...
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Abstract:
In this work, we propose a method for incorporating question-answering (QA) signals into a summarization model. Our method identifies salient noun phrases (NPs) in the input document by automatically generating wh-questions that are answered by the NPs and automatically determining whether those questions are answered in the gold summaries. This QA-based signal is incorporated into a two-stage summarization model which first marks salient NPs in the input document using a classification model, then conditionally generates a summary. Our experiments demonstrate that the models trained using QA-based supervision generate higher-quality summaries than baseline methods of identifying salient spans on benchmark summarization datasets. Further, we show that the content of the generated summaries can be controlled based on which NPs are marked in the input document. Finally, we propose a method of augmenting the training data so the gold summaries are more consistent with the marked input spans used during training ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2111.07935 https://dx.doi.org/10.48550/arxiv.2111.07935
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Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ...
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ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
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What is Your Article Based On? Inferring Fine-grained Provenance ...
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BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language ...
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{Z}ero-shot {L}abel-Aware {E}vent {T}rigger and {A}rgument {C}lassification ...
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Zero-shot Event Extraction via Transfer Learning: Challenges and Insights ...
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Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0 ...
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Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary ...
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Constrained Labeled Data Generation for Low-Resource Named Entity Recognition ...
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Cross-lingual Entity Alignment with Incidental Supervision ...
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TransOMCS: From Linguistic Graphs to Commonsense Knowledge ...
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Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection ...
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Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary ...
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Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
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