Preface


Recently, a new field has emerged taking benefit of both domains: Data Mining (DM)
and Natural Language Processing (NLP). Indeed, statistical and machine learning
methods hold a predominant position in NLP research1 , advanced methods such as
recurrent neural networks, Bayesian networks and kernel based methods are exten-
sively researched, and ”may have been too successful (. . . ) as there is no longer much
room for anything else”2 . They have proved their e↵ectiveness for some tasks but one
major drawback is that they do not provide human readable models. By contrast, sym-
bolic machine learning methods are known to provide more human-readable model that
could be an end in itself (e.g., for stylistics) or improve, by combination, further meth-
ods including numerical ones. Research in Data Mining has progressed significantly in
the last decades, through the development of advanced algorithms and techniques to
extract knowledge from data in di↵erent forms. In particular, for two decades Pattern
Mining has been one of the most active field in Knowledge Discovery.
    This volume contains the papers presented at the ECML/PKDD 2015 workshop:
DMNLP’15, held on September 7, 2015 in Porto. DMNLP’15 (Workshop on Inter-
actions between Data Mining and Natural Language Processing) is the second edi-
tion of a workshop dedicated to Data Mining and Natural Language Processing cross-
fertilization, i.e a workshop where NLP brings new challenges to DM, and where DM
gives future prospects to NLP. It is well-known that texts provide a very challeng-
ing context to both NLP and DM with a huge volume of low-structured, complex,
domain-dependent and task-dependent data. The objective of DMNLP is thus to pro-
vide a forum to discuss how Data Mining can be interesting for NLP tasks, providing
symbolic knowledge, but also how NLP can enhance data mining approaches by pro-
viding richer and/or more complex information to mine and by integrating linguistic
knowledge directly in the mining process.
    The high quality of the program of the workshop was ensured by the much-
appreciate work of the authors and the Program Committee members. Finally, we wish
to thank the local organization team of ECML/PKDD 2015. and the ECML/PKDD
2015 workshop chairs Bernhard Pfahringer andLuis Torgo.



September 2015                                        Peggy Cellier, Thierry Charnois
                                                         Andreas Hotho, Stan Matwin
                                             Marie-Francine Moens, Yannick Toussaint




1
  D. Hall, D. Jurafsky, and C. M. Manning. Studying the History of Ideas Using Topic
  Models. In Proceedings of the 2008 Conference on Empirical Methods in Natural
  Language Processing, pp. 363–371, 2008
2
  K. Church. A Pendulum Swung Too Far. Linguistic Issues in Language Technology,
  Vol. 6, CSLI publications, 2011.