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20172024
most citedDomain-independent Extraction of Scientific Concepts from Research Articles

54 citations · 230 across the 42 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.CV2020

Ontology-driven Event Type Classification in Images

Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov +2

Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news. So far, only few approaches address image cla…

cs.CV2020★ 2 cited

Classification of Important Segments in Educational Videos using Multimodal Features

Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth

Videos are a commonly-used type of content in learning during Web search. Many e-learning platforms provide quality content, but sometimes educational videos are long and cover man…

cs.LG2020★ 12 cited

MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities

Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh +4

In this paper, we introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to train and evaluate multitask systems on samples in multiple modalities and three…

cs.CL2020★ 6 cited

Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features

Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth

In this digital age of news consumption, a news reader has the ability to react, express and share opinions with others in a highly interactive and fast manner. As a consequence, f…

cs.CL2020

A Feature Analysis for Multimodal News Retrieval

Golsa Tahmasebzadeh, Sherzod Hakimov, Eric Müller-Budack +1

Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either ba…

cs.MM2020★ 4 cited

Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality

Jianwei Shi, Christian Otto, Anett Hoppe +2

Ranking and recommendation of multimedia content such as videos is usually realized with respect to the relevance to a user query. However, for lecture videos and MOOCs (Massive Op…