Traditionally, object-oriented software adopts the Observer pattern to implement reactive behavior. Its drawbacks are well-documented and two families of alternative approaches have been proposed, extending object-oriented languages with concepts from functional reactive and dataflow programming, respectively event-driven programming. The former hardly escape the functional setting; the latter do not achieve the declarativeness of more functional approaches.In this paper, we present RESCALA, a reactive language which integrates concepts from event-based and functional-reactive programming into the object-oriented world. RESCALA supports the development of reactive applications by fostering a functional declarative style which complements the advantages of objectoriented design.

No abstract

We propose a framework for lexical substitution that is able to perform transfer learning across languages. Datasets for this task are available in at least three languages (English, Italian, and German). Previous work has addressed each of these tasks in isolation. In contrast, we regard the union of three shared tasks as a combined multilingual dataset. We show that a supervised system can be trained effectively, even if training and evaluation data are from different languages. Successful transfer learning between languages suggests that the learned model is in fact independent of the underlying language. We combine state-of-the-art unsupervised features obtained from syntactic word embeddings and distributional thesauri in a supervised delexicalized ranking system. Our system improves over state of the art in the full lexical substitution task in all three languages.

No abstract

We present our system used for the AIPHES team submission in the context of the EmpiriST shared task on "Automatic Linguistic Annotation of Computer-Mediated Communication / Social Media". Our system is based on a rulebased tokenizer and a machine learning sequence labelling POS tagger using a variety of features. We show that the system is robust across the two tested genres: German computer mediated communication (CMC) and general German web data (WEB). We achieve the second rank in three of four scenarios. Also, the presented systems are freely available as open source components.