The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words.
SOTA for Entity Disambiguation on TAC2010
In this work, we model abstractive text summarization using Attentional Encoder-Decoder Recurrent Neural Networks, and show that they achieve state-of-the-art performance on two different corpora.
#4 best model for Text Summarization on GigaWord
We present a transition-based parser that jointly produces syntactic and semantic dependencies.