Классификация семантических отношений

This paper addresses the automatic classifi- cation of semantic relations in noun phrases based on cross-linguistic evidence from a set of five Romance languages. A set of novel semantic and …...

This paper describes a system for classify- ing semantic relations among nominals, as in SemEval task 4. This system uses a corpus of 2,500 compounds annotated with WordNet senses and …...

This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation classification. First, the training data is partitioned …...

Seed sampling is critical in semi-supervised learning. This paper proposes a clustering- based stratified seed sampling approach to semi-supervised learning. First, various clus- tering algorithms are explored to partition the …...

In this paper, we present a recursive neural network (RNN) model that works on a syn- tactic tree. Our model differs from previous RNN models in that the model allows …...

We compare different word embeddings from a standard window based skipgram model, a skipgram model trained using dependency context features and a novel skipgram variant that utilizes additional information from …...