Terry Ruas

Orcid: 0000-0002-9440-780X

Affiliations:
  • University of Göttingen, Germany
  • University of Wuppertal, Germany (former)
  • University of Michigan-Dearborn, Computer and Information Science, MI, USA (PhD)
  • Federal University of ABC (UFABC), Centre of Mathematics, São Paulo, Brazil


According to our database1, Terry Ruas authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions.
CoRR, 2024

Citation Amnesia: NLP and Other Academic Fields Are in a Citation Age Recession.
CoRR, 2024

2023
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias.
CoRR, 2023

Paraphrase Detection: Human vs. Machine Content.
CoRR, 2023

Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection.
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).
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

AI Usage Cards: Responsibly Reporting AI-Generated Content.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Paraphrase Types for Generation and Detection.
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.
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.
CoRR, 2022

CS-Insights: A System for Analyzing Computer Science Research.
CoRR, 2022

How Large Language Models are Transforming Machine-Paraphrased Plagiarism.
CoRR, 2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Specialized document embeddings for aspect-based similarity of research papers.
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.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Identifying Machine-Paraphrased Plagiarism.
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.
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.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Incorporating Word Sense Disambiguation in Neural Language Models.
CoRR, 2021

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Detecting Cross-Language Plagiarism using Open Knowledge Graphs.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Math-word embedding in math search and semantic extraction.
Scientometrics, 2020

Enhanced word embeddings using multi-semantic representation through lexical chains.
Inf. Sci., 2020

Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Detecting Machine-Obfuscated Plagiarism.
Proceedings of the Sustainable Digital Communities - 15th International Conference, 2020

Aspect-based Document Similarity for Research Papers.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Multi-sense embeddings through a word sense disambiguation process.
Expert Syst. Appl., 2019

Why Machines Cannot Learn Mathematics, Yet.
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.
Proceedings of the 9th Global Wordnet Conference, 2018

2017
The Continuing Reinvention of Content-Based Retrieval: Multimedia Is Not Dead.
IEEE Multim., 2017

Keyword Extraction Through Contextual Semantic Analysis of Documents.
Proceedings of the 9th International Conference on Management of Digital EcoSystems, 2017

2016
Automated refactoring of ATL model transformations: a search-based approach.
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.
Proceedings of the 2010 Spring Simulation Multiconference, 2010


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