Papers by Eneldo Loza Mencía
A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation (2020.lrec-1)
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| Challenge: | Existing methods for summarization evaluation focus on a metric to represent the quality of the text, but they focus on only a few quality dimensions. |
| Approach: | They analyze the depen-dencies between various quality dimensions on automatically created multi-document summaries and which are best suited for summarization. |
| Outcome: | The proposed method achieves higher quality summaries than other methods on a large-scale heterogeneous data set. |
Which Scores to Predict in Sentence Regression for Text Summarization? (N18-1)
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| Challenge: | Sentence regression is an emerging branch in automatic text summarizations. |
| Approach: | They propose to estimate the importance of information via learned utility scores for individual sentences. |
| Outcome: | The proposed models learn to predict ROUGE recall scores of individual sentences . the models show that following intuition leads to suboptimal results . |