Summary of the paper

Title Applying Random Indexing to Structured Data to Find Contextually Similar Words
Authors Danica Damljanovic, Udo Kruschwitz, M-Dyaa Albakour, Johann Petrak and Mihai Lupu
Abstract Language resources extracted from structured data (e.g. Linked Open Data) have already been used in various scenarios to improve conventional Natural Language Processing techniques. The meanings of words and the relations between them are made more explicit in RDF graphs, in comparison to human-readable text, and hence have a great potential to improve legacy applications. In this paper, we describe an approach that can be used to extend or clarify the semantic meaning of a word by constructing a list of contextually related terms. Our approach is based on exploiting the structure inherent in an RDF graph and then applying the methods from statistical semantics, and in particular, Random Indexing, in order to discover contextually related terms. We evaluate our approach in the domain of life science using the dataset generated with the help of domain experts from a large pharmaceutical company (AstraZeneca). They were involved in two phases: firstly, to generate a set of keywords of interest to them, and secondly to judge the set of generated contextually similar words for each keyword of interest. We compare our proposed approach, exploiting the semantic graph, with the same method applied on the human readable text extracted from the graph.
Topics Information Extraction, Information Retrieval, Ontologies, Lexicon, lexical database
Full paper Applying Random Indexing to Structured Data to Find Contextually Similar Words
Bibtex @InProceedings{DAMLJANOVIC12.628,
  author = {Danica Damljanovic and Udo Kruschwitz and M-Dyaa Albakour and Johann Petrak and Mihai Lupu},
  title = {Applying Random Indexing to Structured Data to Find Contextually Similar Words},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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