Search Results for author: Anett Hoppe

Found 12 papers, 6 papers with code

On the Influence of Reading Sequences on Knowledge Gain during Web Search

1 code implementation10 Jan 2024 Wolfgang Gritz, Anett Hoppe, Ralph Ewerth

We use publicly available study data from a web-based learning task to examine the relationship between our feature set and the participants' test scores.

Predicting Knowledge Gain for MOOC Video Consumption

1 code implementation13 Dec 2022 Christian Otto, Markos Stamatakis, Anett Hoppe, Ralph Ewerth

Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years.

Feature Importance Retrieval

Evaluation of Automated Image Descriptions for Visually Impaired Students

no code implementations29 Jun 2021 Anett Hoppe, David Morris, Ralph Ewerth

Illustrations are widely used in education, and sometimes, alternatives are not available for visually impaired students.

Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption

no code implementations11 Jun 2021 Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth

Related work in this field, also called search as learning, has focused on behavioral or text resource features to predict learning outcome and knowledge gain.

Feature Importance

Citation Recommendation for Research Papers via Knowledge Graphs

1 code implementation10 Jun 2021 Arthur Brack, Anett Hoppe, Ralph Ewerth

Citation recommendation for research papers is a valuable task that can help researchers improve the quality of their work by suggesting relevant related work.

Citation Recommendation Knowledge Graphs

Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

no code implementations11 Feb 2021 Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work.

Knowledge Graphs

Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers

1 code implementation11 Feb 2021 Arthur Brack, Anett Hoppe, Pascal Buschermöhle, Ralph Ewerth

Our approach outperforms the state of the art on full paper datasets significantly while being on par for datasets consisting of abstracts.

Multi-Task Learning Sentence +1

Coreference Resolution in Research Papers from Multiple Domains

1 code implementation4 Jan 2021 Arthur Brack, Daniel Uwe Müller, Anett Hoppe, Ralph Ewerth

We present the following contributions: (1) We annotate a corpus for coreference resolution that comprises 10 different scientific disciplines from Science, Technology, and Medicine (STM); (2) We propose transfer learning for automatic coreference resolution in research papers; (3) We analyse the impact of coreference resolution on knowledge graph (KG) population; (4) We release a research KG that is automatically populated from 55, 485 papers in 10 STM domains.

 Ranked #1 on Coreference Resolution on STM-coref (using extra training data)

coreference-resolution Information Retrieval +2

Requirements Analysis for an Open Research Knowledge Graph

no code implementations20 May 2020 Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get an overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work.

Knowledge Graphs

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