ROUGE: A Package for Automatic Evaluation of Summaries
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Get To The Point: Summarization with Pointer-Generator Networks→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Incorporating Copying Mechanism in Sequence-to-Sequence Learning→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- ROUGE: A Package for Automatic Evaluation of Summaries→BLEULegacy edge — source detail unavailable
- ROUGE: A Package for Automatic Evaluation of Summaries→Introduction to AlgorithmsLegacy edge — source detail unavailable
- ROUGE: A Package for Automatic Evaluation of Summaries→Automatic evaluation of summaries using N-gram co-occurrence statisticsLegacy edge — source detail unavailable
- Automatic evaluation of summaries using N-gram co-occurrence statistics→BLEULegacy edge — source detail unavailable
- Get To The Point: Summarization with Pointer-Generator Networks→Incorporating Copying Mechanism in Sequence-to-Sequence LearningLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→Get To The Point: Summarization with Pointer-Generator NetworksLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→BLEULegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→Get To The Point: Summarization with Pointer-Generator NetworksLegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→Incorporating Copying Mechanism in Sequence-to-Sequence LearningLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BLEULegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Get To The Point: Summarization with Pointer-Generator NetworksLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BLEULegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→BERTScore: Evaluating Text Generation with BERTLegacy edge — source detail unavailable
- Prefix-Tuning: Optimizing Continuous Prompts for Generation→Text Summarization with Pretrained EncodersLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| BLEU | 2001 | 21,963 |
| Introduction to Algorithms | 1991 | 17,031 |
| Automatic evaluation of summaries using N-gram co-occurrence statistics | 2003 | 1,591 |
What cites it, inside the corpus
Links
Topics
| Natural Language Processing Techniques | Computer Science |
| Topic Modeling | Computer Science |
| Advanced Text Analysis Techniques | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports12 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 5cad55ac5d4d41e1…