Low Dimensional Representations

Distributional semantic models (DSMs) have been effective at representing seman- tics at the word level, and research has re- cently moved on to building distributional representations for larger segments of …...

Accurate scoring of syntactic structures such as head-modifier arcs in dependency parsing typically requires rich, dimensional feature representations.high- small subset of such features is often se-A lected manually. This is …...

This paper presents a detailed compar- ative framework for assessing the use- fulness of unsupervised word representa- tions for identifying so-called implicit dis- course relations. Specifically, we compare standard one-hot …...

AbstractLinguistic features have shown promising applications for detecting various cognitive impairments. To improve detection accuracies, increasing the amount of data or the number of linguistic features have been two applicable …...