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05/04/2023
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Recent advances in deep learning methods for natural language processing...
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04/25/2023
Introducing MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection
Although media bias detection is a complex multi-task problem, there is,...
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03/24/2023
Paraphrase Detection: Human vs. Machine Content
The growing prominence of large language models, such as GPT-4 and ChatG...
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02/16/2023
AI Usage Cards: Responsibly Reporting AI-generated Content
Given AI systems like ChatGPT can generate content that is indistinguish...
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11/07/2022
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
Media has a substantial impact on the public perception of events. A one...
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10/26/2022
Analyzing Multi-Task Learning for Abstractive Text Summarization
Despite the recent success of multi-task learning and pre-finetuning for...
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10/13/2022
CS-Insights: A System for Analyzing Computer Science Research
This paper presents CS-Insights, an interactive web application to analy...
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10/07/2022
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
The recent success of large language models for text generation poses a ...
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09/29/2022
Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Experts
Media coverage has a substantial effect on the public perception of even...
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05/22/2022
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
Media bias is a multi-faceted construct influencing individual behavior ...
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04/28/2022
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
DBLP is the largest open-access repository of scientific articles on com...
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03/28/2022
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
Document embeddings and similarity measures underpin content-based recom...
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11/18/2021
Detecting Cross-Language Plagiarism using Open Knowledge Graphs
Identifying cross-language plagiarism is challenging, especially for dis...
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11/15/2021
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
A drastic rise in potentially life-threatening misinformation has been a...
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06/15/2021
Incorporating Word Sense Disambiguation in Neural Language Models
We present two supervised (pre-)training methods to incorporate gloss de...
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04/28/2021
Evaluating Document Representations for Content-based Legal Literature Recommendations
Recommender systems assist legal professionals in finding relevant liter...
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03/23/2021
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
The rise of language models such as BERT allows for high-quality text pa...
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03/22/2021
Identifying Machine-Paraphrased Plagiarism
Employing paraphrasing tools to conceal plagiarized text is a severe thr...
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01/22/2021
Enhanced word embeddings using multi-semantic representation through lexical chains
The relationship between words in a sentence often tells us more about t...
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01/21/2021
Multi-sense embeddings through a word sense disambiguation process
Natural Language Understanding has seen an increasing number of publicat...
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10/13/2020
Aspect-based Document Similarity for Research Papers
Traditional document similarity measures provide a coarse-grained distin...
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03/22/2020
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles
Many digital libraries recommend literature to their users considering t...
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05/20/2019
