Summary of the paper
| Title | A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression |
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| Authors | Claude de Loupy, Marie Guégan, Christelle Ayache, Somara Seng and Juan-Manuel Torres Moreno |
| Abstract | This paper presents two corpora produced within the RPM2 project: a multi-document summarization corpus and a sentence compression corpus. Both corpora are in French. The first one is the only one we know in this language. It contains 20 topics with 20 documents each. A first set of 10 documents per topic is summarized and then the second set is used to produce an update summarization (new information). 4 annotators were involved and produced a total of 160 abstracts. The second corpus contains all the sentences of the first one. 4 annotators were asked to compress the 8432 sentences. This is the biggest corpus of compressed sentences we know, whatever the language. The paper provides some figures in order to compare the different annotators: compression rates, number of tokens per sentence, percentage of tokens kept according to their POS, position of dropped tokens in the sentence compression phase, etc. These figures show important differences from an annotator to the other. Another point is the different strategies of compression used according to the length of the sentence. |
| Topics | Corpus (creation, annotation, etc.), Summarisation |
Full paper |
A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression |
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| Bibtex | @InProceedings{DELOUPY10.919, author = {Claude de Loupy and Marie Guégan and Christelle Ayache and Somara Seng and Juan-Manuel Torres Moreno}, title = {A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |