Summary of the paper
| Title | Summarizing News Clusters on the Basis of Thematic Chains |
|---|---|
| Authors | Natalia Loukachevitch and Aleksey Alekseev |
| Abstract | In this paper we consider a method for extraction of sets of semantically similar language expressions representing different partici-pants of the text story ― thematic chains. The method is based on the structural organization of news clusters and exploits comparison of various contexts of words. The word contexts are used as a basis for extracting multiword expressions and constructing thematic chains. The main difference of thematic chains in comparison with lexical chains is the basic principle of their construction: thematic chains are intended to model different participants (concrete or abstract) of the situation described in the analyzed texts, what means that elements of the same thematic chain cannot often co-occur in the same sentences of the texts under consideration. We evaluate our method on the multi-document summarization task |
| Topics | Lexicon, Lexical Database, MultiWord Expressions & Collocations |
Full paper  |
Summarizing News Clusters on the Basis of Thematic Chains |
| Bibtex | @InProceedings{LOUKACHEVITCH14.859, author = {Natalia Loukachevitch and Aleksey Alekseev}, title = {Summarizing News Clusters on the Basis of Thematic Chains}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |