• No results found

Global Optimization under Length Constraint for Neural Text Summarization

N/A
N/A
Protected

Academic year: 2020

Share "Global Optimization under Length Constraint for Neural Text Summarization"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1:Hyperparamters used in experiments ofCNN/Daily (C) and Mainichi (M).
Table 2: Experimental results of three summarization models (Sum. Model), PG and LC on CNN/Daily, with threeoptimization methods (Opt
Table 3: Experimental results of (a) long summary and (b) short summary on Mainichi with three optimizationmethods
Table 4: Human post-editing time on Mainichi Shim-bun. LC indicates the number of maximum charactersand each time is the average time of post-editing.

References

Related documents

We aimed to compare the mean global score for com- pleteness of reporting scores (scale 0 – 10) for all domains of the manuscript written by the participants with and without the

WESTERN MANITOBA SOUTHEAST ALBERTA SOUTHWEST SASKATCHEWAN NORTHEAST MONTANA NORTH DAKOTA SOUTHEAST SASKATCHEWAN Upper Cretaceous Cardiu lower Cretaceous First white Speckled

positive hemolytic anemia, alpha thalassemia,. or severe

Finally the method used in numerical calculations of the entropy change is presented on ideal superparamagnetic particles without interaction, then general

terms included MeSH terms of cultural competence (key words: cultural safety, cultural awareness, cultural compe- tence, cultural diversity, cultural understanding,

For instance, Ogunkoya and Dami, 2007; Olalekan et al ., (2014) point out that the local communities continue to invade parts of the protected areas for settlements,

To predict meters’ failures in the next settlement period, three independent machine learning models are implemented and compared with selected metrics because even the high

The synthesis of gold(I) and silver(I) complexes with chiral phosphorus-1,1,-dithiolate and triphenylphosphine have been described and also characterized by elemental analyses, IR,