Evidence map›Paper›PMID 35966371›Full record

ArticleFrontiers in neurorobotics2022

Spatial relation learning in complementary scenarios with deep neural networks.

Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Jae Hee LeeKnowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany.
Yuan YaoNatural Language Processing Lab, Department of Computer Science and Technology, Tsinghua University, Beijing, China.
Ozan ÖzdemirKnowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany.
Mengdi LiKnowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany.
Cornelius WeberKnowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany.
Zhiyuan LiuNatural Language Processing Lab, Department of Computer Science and Technology, Tsinghua University, Beijing, China.
Stefan WermterKnowledge Technology Group, Department of Informatics, University of Hamburg, Hamburg, Germany.
Hamburg University of Technology · DETsinghua University · CNUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts, it needs to learn

Indexed as

deep neural networksdistant supervisionembodied language learningframe of referencehybrid architecturespatial relation learning

Identifiers

PMID35966371
PMCPMC9366005
OpenAlexW4288074459

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.