With the advent of Web 2.0, there exist many online platforms that result in massive textual-
data production. With ever-increasing textual data at hand, it is of immense importance to …

Paragraph-based datasets are hard to analyze by a simple RNN, because a long sequence
always contains lengthy problems of long-term dependencies. In this work, we propose a …

Purpose This paper aims to propose a method for better discovering topic evolution path
and semantic relationship from the perspective of patent entity extraction and semantic …

This paper provides empirical and experimental assessments of thematic knowledge
discourses based on two case studies in the US Virgin Islands and Florida. We utilize a …

Graph clustering is a fundamental task to discover community ties in multi-layer networks. In
this paper, we propose a network embedding technique to find covert communities in multi …

(北京交通大学计算机与信息技术学院, 北京100044) 摘要: 利用实体关系从网络大规模单语语料
获取复述模板的方法可以规避对单语平行语料或可比语料的依赖, 但是后期需要人工对有语义 …

Learning distributed representations for relation instances is a central technique in
downstream NLP applications. In order to address semantic modeling of relational patterns …

The semantic relation detection among entities from unstructured text is an important task in
automatic knowledge construction to discover new knowledge. Word embeddings have …

We propose a new method for unsupervised learning of embeddings for lexical relations in
word pairs. The model is trained on predicting the contexts in which a word pair appears …

Surface mining vehicles are used to excavate and transport earth containing ore and
overburden to processing points. Mining vehicles are large, weighing hundreds of tonnes …