Statistical Machine Learning

Instant Messaging (IM) chat sessions are real-time, text-based conversations which can be analyzed using dialogue-act mod- els. Dialogue acts represent the seman- tic information of an utterance, however, messages must …...

AbstractData-driven machine translation (MT) approaches became very popular during last years, especially for language pairs for which it is difficult to find specialists to develop transfer rules. Statistical (SMT) or …...

AbstractIn this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists. We explore the impact of three groups …...

The state-of-the-art methods used for relation classification are primarily based on statistical ma- chine learning, and their performance strongly depends on the quality of the extracted features. The extracted features …...

The state-of-the-art named entity recognition (NER) systems are statistical machine learn- ing models that have strong generalization ca- pability (i.e., can recognize unseen entities that do not appear in training …...

AbstractIn this paper, we present the first attempts to develop a machine translation (MT) system between Spanish and Shipibo-konibo (es-shp). There are very few digital texts written in Shipibo-konibo and …...

AbstractThis paper attempts to marry the interpretability of statistical machine learning approaches with the more robust models of joke structure and joke semantics capable of being learned by neural models. …...