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#1Texygen/evaluation.md at master - GitHub
We propose Self-BLEU, a metric to evaluate the diversity of the generated data. Since BLEU aims to assess how similar two sentences are, it can also be used ...
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#2Texygen: A Benchmarking Platform for Text Generation Models
The Self-BLEU score is shown in Table 3. It is clear that all models generate less diverse documents compared to original training data. LeakGAN ...
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#3文字生成統一框架Texygen實踐- IT閱讀
Self -BLEU：基於詞袋（bag of words）模型的評測指標。衡量一個模型的每一句輸出與此模型其他輸出的相似性。以詞和片語為基本單位。 2、實踐訓練.
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#4The self-BLEU scores, unique n-gram percent - ResearchGate
Download scientific diagram | The self-BLEU scores, unique n-gram percent- from publication: Towards Generating Long and Coherent Text with Multi-Level ...
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#5On the Relation between Quality-Diversity Evaluation and ...
the generated distribution and the real distribution. We also show that the commonly used BLEU/Self-. BLEU metric pair fails to match any divergence.
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#6Jointly Measuring Diversity and Quality in Text Generation ...
BLEU score. On the other hand, the more re- cent metric introduced to evaluate the diver- sity of generated texts known as Self-BLEU.
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#8Self-BLEU | #Natural Language Processing - Open Weaver
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#9Table 3 | Improving Loanword Identification in Low-Resource ...
Donor, Metrics, B/F-LM, BF-MLE, Ours. Arabic, BLEU-4, 0.15, 0.15, 0.21. Self-BLEU, 64.32, 64.58, 63.46. TER, 66.19, 66.44, 65.82. Chinese, BLEU-4, 0.16 ...
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#11评价对话句子多样性的方法 - 知乎专栏
2）Self-BLEU. https://www.aclweb.org/anthology/P19-1177.pdf. 优点：很大程度上反应了句子形式上的多样性. 缺点：也是不考虑语义上的多样性.
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#12Self-Adversarial Learning with Comparative Discrimination for ...
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#14ignite.metrics.nlp.bleu — PyTorch-Ignite v0.4.8 Documentation
Tensor) -> Sequence[float]: method = getattr(self, self.smooth) return method(numerators, denominators) @staticmethod def smooth1(numerators: torch.
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#16Training Language GANs from Scratch - NeurIPS Proceedings
BLEU and Self-BLEU [22] capture basic local consistency. The Fréchet Dis- tance metric [19] captures global consistency and semantic information, ...
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#18BLEU - Wikipedia
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to ...
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#19Neural Syntactic Preordering for Controlled Paraphrase ...
Model, oracle quality (over 10 sentences, no rejection) ↑, pairwise diversity (post-rejection). BLEU, ROUGE-1, ROUGE-2, ROUGE-L, % rejected, self-BLEU ...
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#21Mask Transformer: Unpaired Text Style Transfer Based ... - MDPI
are defined as self-BLEU and ref-BLEU. Fluency: A common way to evaluate the fluency is calculating the perplexity of the transfer sentence.
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#23Calculating Self-BLEU scores - githubhot
The current Self-BLEU implementation includes the selected hypothesis in the list of references. This risks inflation in the self-bleu scores as there will ...
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#24Generation of Synthetic Electronic Medical Record Text - Jiaqi ...
to fit the real data and self-BLEU is a metric to evaluate the diversity of generated synthetic sentences. The calculation of.
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#25Python ciderD.CiderD方法代碼示例- 純淨天空
__init__() self.dataset = dataset self.reward_type = opt.reward_type self.bleu = None if self.reward_type == 'METEOR': from vist_eval.meteor.meteor import ...
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#29Complementary Auxiliary Classifiers for Label-Conditional ...
Table 4: Topic-based question generation results on Yahoo dataset. Model. Conditional Generation. Attribute Transfer. ACC↑ BLEU↑ G-score↑. Self-BLEU↓. ACC ...
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#31Source code for cotk.metric.bleu
**bleu hashvalue**: hash value for bleu metric, same hash value stands for same evaluation settings. ''' result = super().close() if (not self.hyps) or (not ...
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#32轉寄 - 博碩士論文行動網
論文中使用BLEU及Self-BLEU作為評估標準，前者是評估模型生成文本的表現，後者則是評估文本的多樣性，可以從數據中觀察到本研究提出的方法確實能夠改善模型的生成表現 ...
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#33A metric for unconditional text generation,Knowledge-Based ...
For comparison, three existing metrics, bi-lingual evaluation understudy (BLEU) versus self-BLEU, language model score versus reverse ...
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#34WMT21 | Detailing WeChat AI & Beijing Jiaotong University's ...
They then applied a greedy search strategy based on the Self-BLEU scores between the candidate models to select high-potential candidate ...
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#35Master Degree Thesis - Webthesis
SELF -BLEU is a metric proposed in [70], it is used to measure the diversity of the generated text with respect to itself. The main reason is that GANs tend ...
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#37arXiv:1907.10568v2 [cs.CL] 8 Sep 2019 - Amy Pavel
A lower Self-. BLEU implies greater diversity since system out- puts are not similar to one another. 3.2 Proposed: Multi-Reference Evaluation. 3.2.1 Quality.
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#38Penalty-based Sequence Generative Adversarial Networks ...
seqGAN, combines self-attention with modeling localness, and ... self-BLEU-3 as the self-BLEU value. A higher self-BLEU score implies less diversity of the.
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#39The Suitability of Generative Adversarial Training for BERT ...
As an evaluation of diversity, a Self-BLEU score and the percentage of n-grams that are unique, when compared to the original data distribution and within the ...
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#40Generating Ampicillin-Level Antimicrobial Peptides ... - NCBI
Table 3 shows the self-BLEU scores for the positive sequence set (i.e., AMPs) and the generated sequence sets of PepGAN variations. In all cases ...
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#41文本生成哪家強？上交大提出基準測試新平台Texygen - 每日頭條
Self -BLEU：基於詞袋（bag of words）模型的評測指標。衡量一個模型的每一句輸出與此模型其他輸出的相似性。以詞和詞組為基本單位。
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#45fast-bleu 0.0.90 on PyPI - Libraries.io
fast-bleu Package. This is a fast multithreaded C++ implementation of NLTK BLEU with Python wrapper; computing BLEU and SelfBLEU scores for ...
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#46Learning All Possible Factorizations Within and Across ...
diversity instead of Self-BLEU (Zhu et al., 2018). However, we are the first to characterize the Q-D behaviour of insertion based models ...
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#47tehhuu/Self-BLEU - Giters
tehhuu Self-BLEU: Calculating the average Self-BLEU Score of Japanese sentences in a text file.
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#48Bilingual Evaluation Understudy (BLEU) Performance Measure
A Bilingual Evaluation Understudy (BLEU) Performance Measure is an MT Metric for ... See: Self-BLEU Measure, Text Corpus, Machine Translation, Correlation, ...
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#49Nested-Wasserstein Self-Imitation Learning for Sequence ...
Wasserstein self-imitation learning. All baseline exper- iments are performed on the texygen platform (Zhu et al., 2018). The corpus-level BLEU score is ...
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#50tehhuu/Self-BLEU - githubmemory
Calculating the average Self-BLEU Score of Japanese sentences in a text file.
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#51PPL-MCTS: Constrained Textual Generation Through ...
trained on different data than the one used to train the constrained generator; 3) Self-BLEU score [28], which is the BLEU score [18] of a ...
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#53Alexia Jolicoeur-Martineau on Twitter: "@PyTorchLightnin Also add ...
Also add Self-Bleu for diversity measure, since Bleu only measure quality. See https://openreview.net/pdf?id=rJedV3R5tm… for an example using both measures.
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#54arXiv:1907.10568v1 [cs.CL] 24 Jul 2019
A lower Self-. BLEU implies greater diversity since system out- puts are not similar to one another. 3.2 Proposed: Multi-Reference Evaluation.
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#55Generating Political Text - DIVA
rest with a significantly lower self-BLEU. The idea of MaskGAN is to train a GAN by feeding sentences are partially masked, so that one or ...
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#56bleu - GithubHelp
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#57[PDF] Multi-Unit Transformers for Neural Machine Translation
... English->Japanese, Japanese->English and English->German with boosted Self-BLEU based model ensemble based on the Transformer with novel ...
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#59WeChat Neural Machine Translation Systems for WMT21
Furthermore, we apply a greedy search algorithm based on the Self-BLEU scores between the candidate models with selected models.
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#60Bleu score in python from scratch - Stack Overflow
Your bleu score calculation is wrong. Issue: You have to use clipped precision; sklearn uses weights for each n gram; sklearn uses ngrams ...
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#61THE CURIOUS CASE OF NEURAL TEXT DeGENERATION
Vocabulary usage and Self-BLEU (Zhu et al.,. 2018) statistics reveal that high values of k are needed to make top-k sampling match human statistics.
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#62Generating Ampicillin-Level Antimicrobial ... - ACS Publications
For each sequence, a BLEU score between that and all other sequences is computed. The diversity score called self-BLEU is then computed as ...
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#63Python-Texygen/: A text generation benchmarking platform
dataset partition · How can I get the BLEU on real data? · Where is the reference about MLE · potential bug in self-bleu calculations · Question of Generator Loss ...
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#64self attentive latent space based adversarial text generation
Inspired by the success of self attention mechanism and Transformer architecture in ... Self BLEU (Zhu et al., 2018) (Table 4) is a measure of diversity for ...
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#65nltk.translate.bleu_score
"BLEU: a method for automatic evaluation of machine translation. ... [docs] def __init__(self, epsilon=0.1, alpha=5, k=5): """ This will initialize the ...
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#66Are Clinical BERT Models Privacy Preserving? - AAAI ...
Self -BLEU slightly differently. As was done by Holtzman et al. (2020), the Self-BLEU is calculated using a random subset |S' 1,000 of the ...
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#67Natural language generation evaluation metrics - Python ...
python run.py --input=input_path --output=output_path --metrics="['rouge-1', 'bleu', 'self-bleu']". 当前支持的方法有 rouge-l , rouge-2 ...
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#68About the use of pretraining (R1,R2,R3,R4) Our text GAN
negative BLEU-5 (quality). 0.0. 0.1. 0.2. 0.3. 0.4. 0.5. 0.6 self BLEU-5 (diversity). -- This work --. T5-small (MLE). GANT=1. ColdGANT ]0, 1[.
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#69文本生成评价指标-A Survey - CSDN博客
尽管self-bleu能够很好的表现文本的多样性，但在GAN的生成方式中，存在缺陷。 Explicit Semantic Content Match Metrics. 语义内容匹配度量通过从n-gram ...
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#70WeChat Neural Machine Translation Systems for WMT21
different models, we compute Self-BLEU (Zhu et al., 2018) from the translations of the models on the valid set. To be precise, we use the translation.
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#73A Gentle Introduction to Calculating the BLEU Score for Text in ...
How you can calculate BLEU scores in Python using the NLTK library for ... calculating the sentence-level score yourself in a spreadsheet.
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#75FastBLEU - PyPI
This is a fast multithreaded C++ implementation of NLTK BLEU; computing BLEU and SelfBLEU score for a fixed reference set. It can return (Self)BLEU for ...
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#76Advances in Artificial Intelligence: 32nd Canadian ...
Self-BLEU AAE SALSA-AAE ARAE SALSA-ARAE Self BLEU-1 0.950 0.897 0.973 0.896 Self BLEU-2 0.759 0.738 0.921 0.731 Self BLEU-3 0.604 0.573 0.843 0.549 Self ...
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#81Computer Vision – ECCV 2018: 15th European Conference, ...
We further evaluate the diversity of the generated image descriptions using Self-BLEU metric. Table5 shows the detailed Self-BLEU scores.
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#82Trends in Artificial Intelligence Theory and Applications. ...
A large amount of previous work to measure content preservation usually calculates the self-Bleu score between the original sentence and the transferred ...
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#83Document Analysis and Recognition – ICDAR 2021 Workshops: ...
A low SELF-BLEU score implies a high variety. BLEU score, as defined in [7], is calculated for every generated sentence, and the average BLEU score is then ...
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#84Artificial Neural Networks and Machine Learning – ICANN ...
We use Self-BLEU metrics to measure the diversity of generated paragraphs. For a set of sampled sentences, the Self-BLEU metric is the BLEU score of each ...
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