Terry Ruas

According to our database, Terry Ruas authored at least 55 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields.

Jan Philip Wahle, Terry Lima Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Towards Human Understanding of Paraphrase Types in Large Language Models.

Dominik Meier, Jan Philip Wahle, Terry Lima Ruas, Bela Gipp

Proceedings of the 31st International Conference on Computational Linguistics, 2025

What's Wrong? Refining Meeting Summaries with LLM Feedback.

Frederic Thomas Kirstein, Terry Lima Ruas, Bela Gipp

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator.

Frederic Kirstein, Terry Ruas, Bela Gipp

CoRR, 2024

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection.

Tomás Horych, Christoph Mandl, Terry Ruas, André Greiner-Petter, Bela Gipp, Akiko Aizawa, Timo Spinde

CoRR, 2024

CiteAssist: A System for Automated Preprint Citation and BibTeX Generation.

Lars Benedikt Kaesberg, Terry Ruas, Jan Philip Wahle, Bela Gipp

CoRR, 2024

Towards Human Understanding of Paraphrase Types in ChatGPT.

Dominik Meier, Jan Philip Wahle, Terry Ruas, Bela Gipp

CoRR, 2024

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization.

Frederic Kirstein, Jan Philip Wahle, Bela Gipp, Terry Ruas

CoRR, 2024

Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges.

Jonas Becker, Jan Philip Wahle, Bela Gipp, Terry Ruas

CoRR, 2024

MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions.

Tomás Horych, Martin Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde

CoRR, 2024

Citation Amnesia: NLP and Other Academic Fields Are in a Citation Age Recession.

Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad

CoRR, 2024

Paraphrase Types Elicit Prompt Engineering Capabilities.

Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

What's under the hood: Investigating Automatic Metrics on Meeting Summarization.

Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization.

Frederic Kirstein, Terry Ruas, Robert Kratel, Bela Gipp

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions.

Tomás Horych, Martin Paul Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias.

Timo Spinde, Smi Hinterreiter, Fabian Haak, Terry Ruas, Helge Giese, Norman Meuschke, Bela Gipp

CoRR, 2023

Paraphrase Detection: Human vs. Machine Content.

Jonas Becker, Jan Philip Wahle, Terry Ruas, Bela Gipp

CoRR, 2023

Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection.

Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS).

Anastasia Zhukova, Terry Ruas, Felix Hamborg, Karsten Donnay, Bela Gipp

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

AI Usage Cards: Responsibly Reporting AI-Generated Content.

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad, Norman Meuschke, Bela Gipp

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields.

Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Paraphrase Types for Generation and Detection.

Jan Philip Wahle, Bela Gipp, Terry Ruas

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research.

Mohamed Abdalla, Jan Philip Wahle, Terry Lima Ruas, Aurélie Névéol, Fanny Ducel, Saif M. Mohammad, Karën Fort

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Analyzing Multi-Task Learning for Abstractive Text Summarization.

Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

CoRR, 2022

CS-Insights: A System for Analyzing Computer Science Research.

Terry Ruas, Jan Philip Wahle, Lennart Küll, Saif M. Mohammad, Bela Gipp

CoRR, 2022

How Large Language Models are Transforming Machine-Paraphrased Plagiarism.

Jan Philip Wahle, Terry Ruas, Frederic Kirstein, Bela Gipp

CoRR, 2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research.

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad, Bela Gipp

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Specialized document embeddings for aspect-based similarity of research papers.

Malte Ostendorff, Till Blume, Terry Ruas, Bela Gipp, Georg Rehm

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

A domain-adaptive pre-training approach for language bias detection in news.

Jan-David Krieger, Timo Spinde, Terry Ruas, Juhi Kulshrestha, Bela Gipp

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Identifying Machine-Paraphrased Plagiarism.

Jan Philip Wahle, Terry Ruas, Tomás Foltýnek, Norman Meuschke, Bela Gipp

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection.

Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles.

Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

How Large Language Models are Transforming Machine-Paraphrase Plagiarism.

Jan Philip Wahle, Terry Ruas, Frederic Kirstein, Bela Gipp

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection.

Jan Philip Wahle, Terry Ruas, Norman Meuschke, Bela Gipp

Dataset, March, 2021

Identifying Machine-Paraphrased Plagiarism.

Jan Philip Wahle, Terry Ruas, Tomás Foltýnek, Norman Meuschke, Bela Gipp

Dataset, January, 2021

Detecting Cross-Language Plagiarism using Open Knowledge Graphs.

Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke, Terry Ruas, Moritz Schubotz, Bela Gipp

Dataset, January, 2021

Incorporating Word Sense Disambiguation in Neural Language Models.

Jan Philip Wahle, Terry Ruas, Norman Meuschke, Bela Gipp

CoRR, 2021

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection.

Jan Philip Wahle, Terry Ruas, Norman Meuschke, Bela Gipp

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Detecting Cross-Language Plagiarism using Open Knowledge Graphs.

Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke, Terry Ruas, Moritz Schubotz, Bela Gipp

Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021, 2021

Evaluating document representations for content-based legal literature recommendations.

Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julián Moreno Schneider, Georg Rehm

Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts.

Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Detecting Cross-Language Plagiarism using Open Knowledge Graphs.

Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke, Terry Ruas, Moritz Schubotz, Bela Gipp

Dataset, August, 2020

Detecting Cross-Language Plagiarism using Open Knowledge Graphs.

Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke, Terry Ruas, Moritz Schubotz, Bela Gipp

Dataset, August, 2020

Math-word embedding in math search and semantic extraction.

André Greiner-Petter, Abdou Youssef, Terry Ruas, Bruce R. Miller, Moritz Schubotz, Akiko Aizawa, Bela Gipp

Scientometrics, 2020

Enhanced word embeddings using multi-semantic representation through lexical chains.

Terry Ruas, Charles Henrique Porto Ferreira, William I. Grosky, Fabrício Olivetti de França, Debora Maria Rossi de Medeiros

Inf. Sci., 2020

Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles.

Malte Ostendorff, Terry Ruas, Moritz Schubotz, Georg Rehm, Bela Gipp

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Detecting Machine-Obfuscated Plagiarism.

Tomás Foltýnek, Terry Ruas, Philipp Scharpf, Norman Meuschke, Moritz Schubotz, William I. Grosky, Bela Gipp

Proceedings of the Sustainable Digital Communities - 15th International Conference, 2020

Aspect-based Document Similarity for Research Papers.

Malte Ostendorff, Terry Ruas, Till Blume, Bela Gipp, Georg Rehm

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Multi-sense embeddings through a word sense disambiguation process.

Terry Ruas, William I. Grosky, Akiko Aizawa

Expert Syst. Appl., 2019

Why Machines Cannot Learn Mathematics, Yet.

André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William I. Grosky, Bela Gipp

Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019

2018

Semantic Feature Structure Extraction From Documents Based on Extended Lexical Chains.

Terry Ruas, William I. Grosky

Proceedings of the 9th Global Wordnet Conference, 2018

2017

The Continuing Reinvention of Content-Based Retrieval: Multimedia Is Not Dead.

William I. Grosky, Terry Ruas

IEEE Multim., 2017

Keyword Extraction Through Contextual Semantic Analysis of Documents.

Terry Ruas, William I. Grosky

Proceedings of the 9th International Conference on Management of Digital EcoSystems, 2017

2016

Automated refactoring of ATL model transformations: a search-based approach.

Bader Alkhazi, Terry Ruas, Marouane Kessentini, Manuel Wimmer, William I. Grosky

Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems, 2016

2010

An agent-based model for the spread of the Dengue fever: a swarm platform simulation approach.

Luís F. O. Jacintho, André Filipe de Moraes Batista, Terry Lima Ruas, Maria das Graças Bruno Marietto, Fábio A. Silva

Proceedings of the 2010 Spring Simulation Multiconference, 2010