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Detecting In-line Mathematical Expressions in Scientific Documents
Although the method is naive and uses a small amount of annotated training data, the method achieved an 88.95% F-measure compared with 22.81% for existing math OCR software.
Using Formulaic Expressions in Writing Assistance Systems
This work proposes a new framework for semantic searches of FEs and a new method to leverage both existing dictionaries and domain sentence corpora, and expands an existing FE dictionary to consider building a more comprehensive and domain-specific FE dictionary.
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
To show the usefulness of the dataset, a series of experiments were conducted that determined to what extent sentence representations acquired by recent models, such as word2vec and BERT, can be employed to detect communicative functions in sentences.
Towards Extracting Formulaic Expressions from Japanese Scholarly Papers
While scholarly papers in many disciplines are written in English, non-English papers have been published. Formulaic expressions used in research articles have been studied, but past work mainly
Extraction of Formulaic Expressions from Scientific Papers
This paper proposes a sentence-level FE extraction method in which the CFs are taken into account and is compared to existing methods to demonstrate that it is better at CForiented FEs.
Towards Interactive Information Access based on Document Structures
The whole framework and a method of document analysis that reconstructs the logical structure of a document and constructs its representation are mainly discussed in this paper.
Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database
This study considers a fully automated construction of a CF-labelled FE database using the top–down approach, in which the CF labels are first assigned to sentences, and then the FEs are extracted.