The task of Named Entity Disambiguation (NED), which maps mentions of ambiguous names in natural language onto a set of known entities, has been an important issue in many areas including machine translation and information extraction. Working with a huge amount of data (e.g. more than three million entities in Yago), some parts in an NED system which estimate the probability of a mention match...

Coreference resolution and semantic role labeling are NLP tasks that capture different aspects of semantics, indicating respectively, which expressions refer to the same entity, what roles serve in sentence. However, they often closely interdependent, both generally necessitate natural language understanding. Do form a coherent abstract representation documents? We present neural network archit...

Quantum coherence has wide-ranging applications from quantum thermodynamics to metrology, channel discrimination and even biology. Thus, detecting quantifying are two fundamental problems in resource theory. Here, we introduce feasible methods detect estimate the by constructing witnesses for any finite-dimensional states. Our coherent states testing whether expectation value of witness is nega...

Bridging resolution plays an important role in establishing (local) entity coherence. This paper proposes a rule-based approach for the challenging task of unrestricted bridging resolution, where bridging anaphors are not limited to definite NPs and semantic relations between anaphors and their antecedents are not restricted to meronymic relations. The system consists of eight rules which targe...

Entity linking involves mapping ambiguous mentions in documents to the correct entities a given knowledge base. Most existing methods failed link when mention appears multiple times document, since conflict of its contexts different locations may lead difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used resolve above issue. I...

Two of the mechanisms for creating natural transitions between adjacent sentences in a text, resulting in local coherence, involve discourse relations and switches of focus of attention between discourse entities. These two aspects of local coherence have been traditionally discussed and studied separately. But some empirical studies have given strong evidence for the necessity of understanding...

When reasoning about the facts of a case, we typically use stories to link the known events into coherent wholes. One way to establish coherence is to appeal to past examples, real or fictitious. These examples can be chosen and critiqued using the case-based reasoning (CBR) techniques from the AI and Law literature. In this paper, we apply these techniques to factual stories, assessing a story...