| W15-3041 | Our submissions use ( i ) a continuous space language model to extract additional features for Task 1 ( SHEF - GP , SHEF-SVM ) , ( ii ) a continuous bagof-words model to produce word embeddings as features for Task 2 ( SHEF-W2V ) and ( iii ) a combination of features produced by QuEst + + and a feature produced with word embedding models ( SHEF - QuEst + + ) . |
| W15-3124 | 2 ) For sen - timental features , word embedding is employed for acquiring expanded topical words and syntactic dependency is adopted for getting topic-related senti - mental words . |
| W15-3814 | Recent advances in word embedding make computation of word distribution more efficient and possible . |
| W15-3820 | Such word vector representations , also known as word embedding , have been shown to improve the performance of machine learning models in several NLP tasks . |
| W15-3822 | We investigated three different methods for deriving word embeddings from a large unlabeled clinical corpus : one existing method called Surrounding based embedding feature ( SBE ) , and two newly developed methods : Left-Right surrounding based embedding feature ( LR_SBE ) and MAX surrounding based embedding feature ( MAX_SBE ) . |
| W15-4005 | We propose the use of partial least square regression to learn the bilingual word embedding using compositional distributional semantics . |
| W15-4310 | Besides word embedding , we use partof-speech ( POS ) tags , chunks , and brown clusters induced from Wikipedia as fea - tures . |
| W96-0413 | As a variable 's restriction is processed the resulting focus set is passed back up to act as the candidate set for the same variable in the embedding structure . |
| W97-0901 | This paper reports on SRA 's experience in embedding name recognition in these three specific ap - plications , and the mutual impacts that oc - cur , both on the algorithmic level and in the role that name recognition plays in user interaction with a system . |
| W98-1311 | Another aspect to consider is the embedding of the single elements of the finite-state tools into a portable object-oriented framework , the architecture of which assures the reuse , the flexibility and the customization of the different parts . |
