Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Abstract. This paper describes our participation in the Ontology Alignment Evaluation Initiative (OAEI) 2009 with the AgreementMaker system for ontology matching, in which we obtai...
Isabel F. Cruz, Flavio Palandri Antonelli, Cosmin ...
Incorporating information from the short-time phase spectrum into a feature set for automatic speech recognition (ASR) may possibly serve to improve recognition accuracy. Currentl...
We present a novel fully unsupervised algorithm for POS induction from plain text, motivated by the cognitive notion of prototypes. The algorithm first identifies landmark cluster...
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...