| other,23-9-J05-1003,ak | the <term> feature space </term> in the <term> | parsing data | </term> . Experiments show significant efficiency | #8249 The article also introduces a new algorithm for the boosting approach which takes advantage of the sparsity of the feature space in the parsing data . | |
| tech,23-12-J05-1003,ak | should be applicable to many other <term> | NLP problems | </term> which are naturally framed as <term> | #8324 Although the experiments in this article are on natural language parsing (NLP), the approach should be applicable to many other NLP problems which are naturally framed as ranking tasks, for example, speech recognition, machine translation, or natural language generation. |
