AUTOMATICALLY IDENTIFYING CITATIONS IN HEBREW-ARAMAIC DOCUMENTS

@article{HaCohenKerner2011AUTOMATICALLYIC,
  title={AUTOMATICALLY IDENTIFYING CITATIONS IN HEBREW-ARAMAIC DOCUMENTS},
  author={Yaakov HaCohen-Kerner and N. Schweitzer and Dror Mughaz},
  journal={Cybernetics and Systems},
  year={2011},
  volume={42},
  pages={180 - 197}
}
Citations in documents contain important information about the sources that authors cite and their importance and impact. Therefore, automatic identification of citations from documents is an important task. Citations included in rabbinic literature are more difficult to identify and to extract than citations in scientific papers written in English for various reasons. The aim of this novel research is to automatically identify undated citations included a unique data set: rabbinic documents… Expand
8 Citations
When Text Authors Lived Using Undated Citations
Extracting and Tagging Unstructured Citation of a Hebrew Religious Document
Text Mining for Evaluating Authors' Birth and Death Years
Measuring direct and indirect authorial influence in historical corpora
Automatic Construction of Aramaic-Hebrew Translation Lexicon
From an Artificial Neural Network to Teaching

References

SHOWING 1-10 OF 39 REFERENCES
Evidence-Based Information Extraction for High Accuracy Citation and Author Name Identification
Comparing citation contexts for information retrieval
Reference Directed Indexing: Redeeming Relevance for Subject Search in Citation Indexes
Automatic classification of citation function
Historiographic Mapping of Knowledge Domains Literature
Automatic Extraction of Reference Linking Information from Online Documents
Baseline Methods for Automatic Disambiguation of Abbreviations in Jewish Law Documents
Knowledge-based metadata extraction from PostScript files
Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets
Search engine driven author disambiguation
...
1
2
3
4
...