DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 46

1
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
BASE
Show details
2
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
BASE
Show details
3
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
BASE
Show details
4
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
BASE
Show details
5
Weakly supervised discourse segmentation for multiparty oral conversations ...
BASE
Show details
6
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ...
BASE
Show details
7
Evaluation of Summarization Systems across Gender, Age, and Race ...
BASE
Show details
8
Controllable Neural Dialogue Summarization with Personal Named Entity Planning ...
BASE
Show details
9
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ...
BASE
Show details
10
A Thorough Evaluation of Task-Specific Pretraining for Summarization ...
BASE
Show details
11
Effective Sequence-to-Sequence Dialogue State Tracking ...
BASE
Show details
12
Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings ...
BASE
Show details
13
Exploring Multitask Learning for Low-Resource Abstractive Summarization ...
BASE
Show details
14
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization ...
BASE
Show details
15
Narrative Embedding: Re-Contextualization Through Attention ...
BASE
Show details
16
TWEETSUMM - A Dialog Summarization Dataset for Customer Service ...
BASE
Show details
17
SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ...
BASE
Show details
18
AUTOSUMM: Automatic Model Creation for Text Summarization ...
BASE
Show details
19
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods ...
Abstract: The quality of a summarization evaluation metric is quantified by calculating the correlation between its scores and human annotations across a large number of summaries. Currently, it is unclear how precise these correlation estimates are, nor whether differences between two metrics' correlations reflect a true difference or if it is due to mere chance. In this work, we address these two problems by proposing methods for calculating confidence intervals and running hypothesis tests for correlations using two resampling methods, bootstrapping and permutation. After evaluating which of the proposed methods is most appropriate for summarization through two simulation experiments, we analyze the results of applying these methods to several different automatic evaluation metrics across three sets of human annotations. We find that the confidence intervals are rather wide, demonstrating high uncertainty in the reliability of automatic metrics. Further, although many metrics fail to show statistical improvements ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
URL: https://underline.io/lecture/38206-a-statistical-analysis-of-summarization-evaluation-metrics-using-resampling-methods
https://dx.doi.org/10.48448/r0db-f535
BASE
Hide details
20
Retrieval Augmented Code Generation and Summarization ...
BASE
Show details

Page: 1 2 3

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
46
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern