Connectionist natural language processing: the state of the art

Connectionist natural language processing: the state of the art

This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of specific connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual or...

Connectionist natural language processing : The state of the artMorten

This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of speciic connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual ori...

State-of-the-Art Kernels for Natural Language Processing

In recent years, machine learning (ML) has been used more and more to solve complex tasks in different disciplines, ranging from Data Mining to Information Retrieval or Natural Language Processing (NLP). These tasks often require the processing of structured input, e.g., the ability to extract salient features from syntactic/semantic structures is critical to many NLP systems. Mapping such stru...

Hybrid Connectionist Natural Language Processing

Connectionist Approaches to Natural Language Processing

With the growing popularity of statistical approaches to natural language processing, it is natural to consider how connectionist techniques for learning and using soft constraints might be applicable to this area. However, nagging questions about the representational and computational adequacy of connectionist networks for processing language make the fruitfulness of this endeavor uncertain. T...