AI vs. Human--Differentiation Analysis of Scientific Content Generation
Recent neural language models have taken a significant step forward in producing
remarkably controllable, fluent, and grammatical text. Although studies have found that AI …
remarkably controllable, fluent, and grammatical text. Although studies have found that AI …
Cross-lingual extreme summarization of scholarly documents
The number of scientific publications nowadays is rapidly increasing, causing information
overload for researchers and making it hard for scholars to keep up to date with current …
overload for researchers and making it hard for scholars to keep up to date with current …
[HTML][HTML] Global information-aware argument mining based on a top-down multi-turn QA model
Argument mining (AM) aims to automatically generate a graph that represents the argument
structure of a document. Most previous AM models only pay attention to a single argument …
structure of a document. Most previous AM models only pay attention to a single argument …
Automated recognition of innovative sentences in academic articles: semi-automatic annotation for cost reduction and SAO reconstruction for enhanced data
B Zhang, Y Chen - Scientometrics, 2024 - Springer
Research on innovative content within academic articles plays a vital role in exploring the
frontiers of scientific and technological innovation while facilitating the integration of …
frontiers of scientific and technological innovation while facilitating the integration of …
Benchmark for research theme classification of scholarly documents
We present a new gold-standard dataset and a benchmark for the Research Theme
Identification task, a sub-task of the Scholarly Knowledge Graph Generation shared task, at …
Identification task, a sub-task of the Scholarly Knowledge Graph Generation shared task, at …
Cross-lingual argument mining in the medical domain
Nowadays the medical domain is receiving more and more attention in applications
involving Artificial Intelligence as clinicians decision-making is increasingly dependent on …
involving Artificial Intelligence as clinicians decision-making is increasingly dependent on …
A platform for argumentative zoning annotation and scientific summarization
Argumentative Zoning (AZ) is a tool to obtain informative summaries of scientific articles.
Using AZ assumes the definition of the main rhetorical structure in scientific articles, which …
Using AZ assumes the definition of the main rhetorical structure in scientific articles, which …
Argument mining as a multi-hop generative machine reading comprehension task
Argument mining (AM) is a natural language processing task that aims to generate an
argumentative graph given an unstructured argumentative text. An argumentative graph that …
argumentative graph given an unstructured argumentative text. An argumentative graph that …
Detecting Scientific Fraud Using Argument Mining
A proliferation of fraudulent scientific research in recent years has precipitated a greater
interest in more effective methods of detection. There are many varieties of academic fraud …
interest in more effective methods of detection. There are many varieties of academic fraud …
Incorporating zoning information into argument mining from biomedical literature
The goal of text zoning is to segment a text into zones (ie, Background, Conclusion) that
serve distinct functions. Argumentative zoning, a specific text zoning scheme for the scientific …
serve distinct functions. Argumentative zoning, a specific text zoning scheme for the scientific …