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

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A Semi-Automatic light-weight Approach towards Data Generation for a Domain-Specific FAQ chatbot using Human-in-the-Loop

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

graph,nlp,publication Publication Authors Anum Afzal Florian Matthes Research project Enterprise AI

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

Efficient Domain Adaptation of Sentence Embeddings Using Adapters

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A Knowledge Graph Approach for Exploratory Search in Research Institutions

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Hide nlp,publication Publication File A Knowledge Graph Approach for Exploratory Search in Research

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

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Oliver Wardas

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Wessel Poelman

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Exploring the Landscape of Natural Language Processing Research

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recent years. Given the increasing research work in this area, several NLP-related approaches have been study in NLP, analyze recent developments in NLP, summarize our findings, and highlight directions Research Not template related Show to the right of the text Show below the text Hide nlp,publication recent years. Given the increasing research work in this area, several NLP-related approaches have been study in NLP, analyze recent developments in NLP, summarize our findings, and highlight directions

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