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NLP-KG - A System for Exploratory Search of Scientific Literature in Natural Language Processing

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, limiting the possibilities for exploration. We propose NLP-KG, a feature-rich system designed to . In addition to a semantic search, NLP-KG allows users to easily find survey papers that provide a ask questions about unfamiliar concepts or specific articles in NLP and obtain answers grounded in , understanding unfamiliar concepts in NLP, and finding relevant research literature. Demo, video, and code are available at: https://github.com/NLP-Knowledge-Graph/NLP-KG-WebApp . /Sebis Public Website

AspectCSE - Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge

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Anum Afzal

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Oliver Wardas

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Open HiWi Position in the Area of Explainable AI in NLP

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Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes

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NLP Seminar Summer Semester 2025 - Join Us!

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Tim Schopf

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Language Processing Knowledge Graph (NLP-KG) The NLP knowledge graph is an approach to tackle the NLP-related topics and find relevant papers more efficiently. More here... CreateData4AI (CD4AI) ://aclanthology.org/2024.konvens-main.18 [PDF] Schopf, Tim; Matthes, Florian NLP-KG: A System for right of the text Hide knowledge graphs,mitarbeiter,nlp,people,person,sebis,staff,team,tim schopf Team

Phillip Schneider

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Techniques. In Practical Solutions for Diverse Real-World NLP Applications. Cham: Springer International of applications, architectures, and functional components. In 6th Workshop on NLP for ConvAI (ACL) Advisor /Sebis Public Website/Team/Alumni/Phillip Schneider Not template related Hide Hide Hide nlp

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them.

Publication in Sebis Public Website last modified Oct 14, 2024 by Anum Afzal. knowledge graph nlp publication

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