Conference paper Open Access

Complex Word Identification: Challenges in Data Annotation and System Performance

Zampieri, Marcos; Malmasi, Shervin; Paetzold, Gustavo Henrique; Specia, Lucia


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/ef1b50c8-34b1-462e-b534-11d1152229f8/lexical-complexity-nlp.pdf"
      }, 
      "checksum": "md5:f832185b83687a90fc1a610996f232fb", 
      "bucket": "ef1b50c8-34b1-462e-b534-11d1152229f8", 
      "key": "lexical-complexity-nlp.pdf", 
      "type": "pdf", 
      "size": 96213
    }
  ], 
  "owners": [
    37912
  ], 
  "doi": "10.5281/zenodo.1040837", 
  "stats": {
    "version_unique_downloads": 23.0, 
    "unique_views": 28.0, 
    "views": 34.0, 
    "version_views": 34.0, 
    "unique_downloads": 23.0, 
    "version_unique_views": 28.0, 
    "volume": 2309112.0, 
    "version_downloads": 24.0, 
    "downloads": 24.0, 
    "version_volume": 2309112.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.1040837", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.1040836", 
    "bucket": "https://zenodo.org/api/files/ef1b50c8-34b1-462e-b534-11d1152229f8", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.1040836.svg", 
    "html": "https://zenodo.org/record/1040837", 
    "latest_html": "https://zenodo.org/record/1040837", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.1040837.svg", 
    "latest": "https://zenodo.org/api/records/1040837"
  }, 
  "conceptdoi": "10.5281/zenodo.1040836", 
  "created": "2017-11-02T15:21:35.818143+00:00", 
  "updated": "2020-01-20T13:37:54.004176+00:00", 
  "conceptrecid": "1040836", 
  "revision": 7, 
  "id": 1040837, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.1040837", 
    "description": "<p>Workshop paper:&nbsp;Complex Word Identification: Challenges in Data Annotation and System Performance</p>", 
    "language": "eng", 
    "title": "Complex Word Identification: Challenges in Data Annotation and System Performance", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "1040836"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "1040837"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "692819", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::692819"
        }, 
        "title": "SIMplifying the interaction with Public Administration Through Information technology for Citizens and cOmpanies", 
        "acronym": "SIMPATICO", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "communities": [
      {
        "id": "h2020-simpatico-692819"
      }
    ], 
    "publication_date": "2017-12-01", 
    "creators": [
      {
        "affiliation": "University of Wolverhampton", 
        "name": "Zampieri, Marcos"
      }, 
      {
        "affiliation": "Harvard University", 
        "name": "Malmasi, Shervin"
      }, 
      {
        "orcid": "0000-0001-9951-050X", 
        "affiliation": "University of Sheffield", 
        "name": "Paetzold, Gustavo Henrique"
      }, 
      {
        "affiliation": "University of Sheffield", 
        "name": "Specia, Lucia"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.1040836", 
        "relation": "isVersionOf"
      }
    ]
  }
}
34
24
views
downloads
All versions This version
Views 3434
Downloads 2424
Data volume 2.3 MB2.3 MB
Unique views 2828
Unique downloads 2323

Share

Cite as