To support context-based multimodal interpretation in conversational systems, we have developed a semantics-based representation to capture salient information from user inputs an...
Systems that interact with the user via natural language are in their infancy. As these systems mature and become more complex, it would be desirable for a system developer if the...
John Chen, Srinivas Bangalore, Owen Rambow, Marily...
Many recent statistical parsers rely on a preprocessing step which uses hand-written, corpus-specific rules to augment the training data with extra information. For example, head-...
Previous attempts at identifying translational equivalents in comparable corpora have dealt with very large `general language' corpora and words. We address this task in a sp...
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document...