2nd Call for Papers – Journal of Natural Language Engineering – Special Issue on “Graphs for NLP”

Natalia KonstantinovaPh.D. in NLP, looking for new challenges in NLP, ML, Data Analytics.Top Contributor

The graph structure naturally models connections. In natural language processing, connections are ubiquitous, on anything between small and web-scale. We find them between words as grammatical, collocation or semantic relations; between clauses, sentences or larger text fragments as discourse, entailment, similarity or other relations; between complete texts or web pages; between entities in a social network; between concepts in ontologies or other knowledge repositories. Beyond the more often encountered “regular” graphs, hypergraphs have also appeared in our field, useful for capturing relations between more than two units.