Data · dataset · 2022
Ti-SUM
Listed in ScienceDB
Automatic text summarization is a key task in natural language processing.
Description
High-quality datasets can effectively promote the research progress of summarization. Recent research is closer to generate abstractive summarizations by using the deep learning methods.
However, there is a lack of high-quality and large-scale summarization datasets available to the public. Besides, it is difficult to construct this kind of dataset manually. The Tibetan text summarization task is still in its infancy due to the lack of public datasets.
Read the rest (1 more)
In order to promote the development of Tibetan informatization. we artificially constructed a small dataset of Tibetan text summarization in this paper, which is composed of 1,000 real Tibetan news articles, each with a short summary. In addition, we have also constructed more than 3,500 article keywords for each news article as a supplement to text summarization tasks.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00001.00352 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Linguistics 69% · Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00001.00352 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4704 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |