In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument structure. This is achieved through the...
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...
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that interaction into felicitous d...