Nikolina Koleva

Learn More
This paper describes our system submission to the CLEF Question Answering Track 2014 Entrance Exam shared task competition , where the task is to correctly answer multiple choice reading comprehension exercises. Our system is a straightforward adaptation of a model originally designed for scoring short answers given by language learners to reading(More)
We present ongoing work on the automated ontology-based detection and recognition of characters in folktales, restricting ourselves for the time being to the analysis of referential nominal phrases occurring in such texts. Focus of the presently reported work was to investigate the interaction between an ontology and linguistic analysis of indefinite and(More)
We describe a system that grades learner answers in reading comprehension tests in the context of foreign language learning. This task, also known as short answer scoring, essentially requires determining whether a semantic entailment relationship holds between an individual learner answer and a target answer; thus semantic information is a necessary part(More)
We investigate the impact of listener's gaze on predicting reference resolution in situated interactions. We extend an existing model that predicts to which entity in the environment listeners will resolve a referring expression (RE). Our model makes use of features that capture which objects were looked at and for how long, reflecting listeners' visual(More)
We present a semi-automatic method for the integration of semantic concepts under a middle-layer ontology in the biomedical domain. For specific purposes a users might want to extend this ontology with concepts or classes necessary for a task at hand and so the middle-layer ontology must be specialized in simple dedicated modules. Our strategy for(More)
  • 1