ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.

He J, Nguyen DQ, Akhondi SA, Druckenbrodt C, Thorne C, Hoessel R, Afzal Z, Zhai Z, Fang B, Yoshikawa H, Albahem A, Cavedon L, Cohn T, Baldwin T, Verspoor K.

Open source

DOI: 10.3389/frma.2021.654438
Published: 2021-03-25
Container: Front Res Metr Anal
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/frma.2021.654438,
  title = {ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.},
  author = {He J and  Nguyen DQ and  Akhondi SA and  Druckenbrodt C and  Thorne C and  Hoessel R and  Afzal Z and  Zhai Z and  Fang B and  Yoshikawa H and  Albahem A and  Cavedon L and  Cohn T and  Baldwin T and  Verspoor K.},
  year = {2021},
  journal = {Front Res Metr Anal},
  doi = {10.3389/frma.2021.654438},
  url = {https://doi.org/10.3389/frma.2021.654438}
}

RIS

TY  - JOUR
TI  - ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.
AU  - He J
AU  -  Nguyen DQ
AU  -  Akhondi SA
AU  -  Druckenbrodt C
AU  -  Thorne C
AU  -  Hoessel R
AU  -  Afzal Z
AU  -  Zhai Z
AU  -  Fang B
AU  -  Yoshikawa H
AU  -  Albahem A
AU  -  Cavedon L
AU  -  Cohn T
AU  -  Baldwin T
AU  -  Verspoor K.
PY  - 2021
JO  - Front Res Metr Anal
DO  - 10.3389/frma.2021.654438
UR  - https://doi.org/10.3389/frma.2021.654438
ER  -

APA

J, H., DQ, N., SA, A., C, D., C, T., R, H., Z, A., Z, Z., B, F., H, Y., A, A., L, C., T, C., T, B., & K., V. (2021). ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents.. Front Res Metr Anal. https://doi.org/10.3389/frma.2021.654438

Source records

europe-pmc · retrieved 2026-09-25T20:56:17.231Z
doaj · retrieved 2026-09-25T20:56:17.239Z