Search Results for author: Paul Youssef

Found 7 papers, 3 papers with code

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs

1 code implementation2 Feb 2024 Paul Youssef, Jörg Schlötterer, Christin Seifert

In this work, we consider a complementary aspect, namely the coherency of factual knowledge in PLMs, i. e., how often can PLMs predict the subject entity given its initial prediction of the object entity.

Retrieval

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

no code implementations25 Oct 2023 Paul Youssef, Osman Alperen Koraş, Meijie Li, Jörg Schlötterer, Christin Seifert

Our contributions are: (1) We propose a categorization scheme for factual probing methods that is based on how their inputs, outputs and the probed PLMs are adapted; (2) We provide an overview of the datasets used for factual probing; (3) We synthesize insights about knowledge retention and prompt optimization in PLMs, analyze obstacles to adopting PLMs as knowledge bases and outline directions for future work.

Knowledge Probing World Knowledge

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis

1 code implementation24 Jul 2023 Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert

Automatically summarizing radiology reports into a concise impression can reduce the manual burden of clinicians and improve the consistency of reporting.

Abstractive Text Summarization

Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building

no code implementations31 Jul 2022 Angan Mitra, Nguyen Kim Thang, Tuan-Anh Nguyen, Denis Trystram, Paul Youssef

The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and communication.

Online 2-stage Stable Matching

no code implementations5 Jul 2022 Evripidis Bampis, Bruno Escoffier, Paul Youssef

There is a first round where some students apply, and a first (stable) matching $M_1$ has to be computed.

When is ACL's Deadline? A Scientific Conversational Agent

no code implementations23 Nov 2019 Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych

Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference visits, and preparing paper submissions using a unified interface based on natural language inputs and responses.

Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks

1 code implementation EMNLP 2018 Steffen Eger, Paul Youssef, Iryna Gurevych

Activation functions play a crucial role in neural networks because they are the nonlinearities which have been attributed to the success story of deep learning.

Image Classification

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