80 citations · 145 across the 6 of their papers we have counts for
6 papers
Combining Neural Networks and Log-linear Models to Improve Relation Extraction
Thien Huu Nguyen, Ralph Grishman
The last decade has witnessed the success of the traditional feature-based method on exploiting the discrete structures such as words or lexical patterns to extract relations from…
Parallel Knowledge Embedding with MapReduce on a Multi-core Processor
Miao Fan, Qiang Zhou, Thomas Fang Zheng +1
This article firstly attempts to explore parallel algorithms of learning distributed representations for both entities and relations in large-scale knowledge repositories with {\it…
Probabilistic Belief Embedding for Knowledge Base Completion
Miao Fan, Qiang Zhou, Andrew Abel +2
This paper contributes a novel embedding model which measures the probability of each belief in a large-scale knowledge repository via simultaneously learn…
Large Margin Nearest Neighbor Embedding for Knowledge Representation
Miao Fan, Qiang Zhou, Thomas Fang Zheng +1
Traditional way of storing facts in triplets ({\it head\_entity, relation, tail\_entity}), abbreviated as ({\it h, r, t}), makes the knowledge intuitively displayed and easily acqu…
Jointly Embedding Relations and Mentions for Knowledge Population
Miao Fan, Kai Cao, Yifan He +1
This paper contributes a joint embedding model for predicting relations between a pair of entities in the scenario of relation inference. It differs from most stand-alone approache…
Comlex Syntax: Building a Computational Lexicon
Ralph Grishman, Catherine Macleod, Adam Meyers
We describe the design of Comlex Syntax, a computational lexicon providing detailed syntactic information for approximately 38,000 English headwords. We consider the types of error…