Multi-document summarization involves many aspects of content selection and surface realization. The summaries must be informative, succinct, grammatical, and obey stylistic writing conventions. We present a method where such individual aspects are learned separately from data (without any hand-engineering) but optimized jointly using an integer linear programme. The ILP framework allows us to ...

This article studies the relevance of an historical lexical analysis to the stylistic description of Modern Hebrew texts. The examination of the lexical make-up of two distinct genres – administrative language and folksong – reveals a correlation between the social functions of the corpora and their formal characteristics. The administrative corpus reflects the lexical structure of standard Mod...

Folk narratives are a valuable resource for humanities and social science researchers. This paper focuses on automatically recognizing folk narrative genres, such as urban legends, fairy tales, jokes and riddles. We explore the effectiveness of lexical, structural, stylistic and domain specific features. We find that it is possible to obtain a good performance using only shallow features. As da...

We adapt the popular LDA topic model (Blei et al., 2003) to the representation of stylistic lexical information, evaluating our model on the basis of human-interpretability at the word and text level. We show, in particular, that this model can be applied to the task of inducing stylistic lexicons, and that a multi-dimensional approach is warranted given the correlations among stylistic dimensi...