Interactive Natural Language Processing

KeyboardThe current state of the art in different areas of natural language processing (NLP) is very far from allowing fully automatic high quality results (HQRs), therefore human intervention is required to correct the output of the NLP engines. This applies specifically to NLP fields such as: machine translation and cross-language processing, text recognition, parsing, speech recognition, information retrieval, etc.

Its goal is to produce HQRs through a tight collaboration between a human operator and a NLP system, following an interactive-predictive paradigm. On the other hand, interactivity offers a unique context in which the feedback provided by the human can be used as new training data for adapting the NLP systems to new environments.

The research line include: new sophisticated interaction protocols, new multimodal types of interactions, such as speech, handwritten text or gaze tracking and new adaptation techniques. On the other hand, in this research line new multimodal-interactive systems will be developed for machine translation and cross-language processing, handwritten text image transcription, parsing and information retrieval.