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Found 3 papers, 1 papers with code
ICDAR 2021 Competition on Scientific Literature Parsing
Scientific literature contain important information related to cutting-edge innovations in diverse domains.
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
Perfect extraction quality is difficult to achieve with one single out-of-box model due to (1) the wide variety of table styles, (2) the lack of training data representing this variety and (3) the inherent ambiguity and subjectivity of table definitions between end-users.
Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents
To our knowledge, our proposed solutions, Dict-based NER and Rank-based ER, and the root and suffix dictionaries, are the first attempt to exploit specialized knowledge, i. e., lists of FI names, for rule-based NER and
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