Lukas Galke

发表

Emergent Communication for Understanding Human Language Evolution: What's Missing?

Lukas Galke, Y. Ram, Limor Raviv, 2022, ArXiv.

Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution

K. Tochtermann, Lukas Galke, Tetyana Melnychuk, 2019 .

Evaluating the Impact of Word Embeddings on Similarity Scoring in Practical Information Retrieval

A. Scherp, Lukas Galke, Ahmed Saleh, 2017 .

Deliverable 3.1: Technologies for MOVING data processing and visualisation v1.0

V. Mezaris, A. Scherp, Lukas Galke, 2017 .

E MERGENT C OMMUNICATION FOR U NDERSTANDING H UMAN L ANGUAGE E VOLUTION : W HAT ’ S M ISSING ?

Lukas Galke, 2022 .

COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics

K. Tochtermann, Lukas Galke, Tetyana Melnychuk, 2021, 2021 IEEE International Conference on Big Data (Big Data).

General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings

Henrik Ferdinand Nolscher, A. Scherp, Lukas Galke, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

Word Embeddings for Practical Information Retrieval

Ansgar Scherp, Lukas Galke, Ahmed Saleh, 2017, GI-Jahrestagung.

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference pdf

Ansgar Scherp, Lukas Galke, Iacopo Vagliano, 2019, ArXiv.

Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities pdf

Ansgar Scherp, Lukas Galke, Iacopo Vagliano, 2021, Information Retrieval Journal.

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation

Ansgar Scherp, Lukas Galke, Florian Mai, 2018, RecSys Challenge.

Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP

A. Scherp, Lukas Galke, 2021, ACL.

Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification

A. Scherp, Lukas Galke, Andor Diera, 2022, ArXiv.

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text

Ansgar Scherp, Lukas Galke, Florian Mai, 2018, JCDL.

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation

Ansgar Scherp, Lukas Galke, Florian Mai, 2017, K-CAP.

Are We Really Making Much Progress? Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single-label and Multi-label Text Classification

A. Scherp, Lukas Galke, Fabian Karl, 2023 .

Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph

Andreas Dengel, Sheraz Ahmed, Ansgar Scherp, 2018, JCDL.

What makes a language easy to deep-learn?

Lukas Galke, Limor Raviv, Yoav Ram, 2023, ArXiv.

Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification

A. Scherp, Lukas Galke, 2021, ArXiv.

Are We Really Making Much Progress in Text Classification? A Comparative Review

A. Scherp, Lukas Galke, Fabian Karl, 2022, 2204.03954.

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

Ansgar Scherp, Lukas Galke, Benedikt Franke, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles pdf

Ansgar Scherp, Lukas Galke, Florian Mai, 2017, ArXiv.

Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents

Ansgar Scherp, Lukas Galke, Tilman Beck, 2018, ICADL.

A Case Study of Closed-Domain Response Suggestion with Limited Training Data

Ansgar Scherp, Lukas Galke, Gunnar Gerstenkorn, 2018, DEXA Workshops.

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels

Ansgar Scherp, Lukas Galke, Florian Mai, 2018, UMAP.

Are We Really Making Much Progress? Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single-and Multi-Label Text Classiﬁcation

A. Scherp, Lukas Galke, Fabian Karl, 2023 .

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes

A. Scherp, Lukas Galke, Iacopo Vagliano, 2021, Neural Networks.

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model pdf

Ansgar Scherp, Lukas Galke, Florian Mai, 2019, ICLR.

What makes a language easy to deep-learn?

Lukas Galke, Limor Raviv, Yoav Ram, 2023, ArXiv.

GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding

A. Scherp, Lukas Galke, Fabian Karl, 2023, GENBENCH.

Open-World Lifelong Graph Learning

A. Scherp, Lukas Galke, Marcel Hoffmann, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).