The phenomenon of coreference, covering entities, their mentions and their properties, is intricately linked to the phenomenon of coherence, covering the structure of rhetorical relations in a discourse. A text corpus that has both phenomena annotated can be used to test hypotheses about their interrelation or to detect other phenomena. We present the process by which C-3, a new corpus, was obt...

We propose an approach for retrieving a sequence of natural sentences for an image stream. Since general users often take a series of pictures on their special moments, it would better take into consideration of the whole image stream to produce natural language descriptions. While almost all previous studies have dealt with the relation between a single image and a single natural sentence, our...

For multi-agent systems to interact meaningfully in a distributed environment, the coherence among the entities’ states must be maintained. Because continuous state updates normally require large amounts of network bandwidth, Newtonian-based equations (i.e., dead-reckoning models) are frequently used to reduce the number of communications updates. However, even with the use of such dead-reckoni...

We present two methods for entity linking in two of our systems submitted to TAC-KBP 2012. The first one, implemented in JVNTDT1 system, learns coherence among cooccurrence entities referred to within a text by exploiting Wikipedia’s link structure and the second one, implemented in JVN_TDT2 system, combines some heuristics with a statistical model, for entity linking. The method implemented in...

BACKGROUND It has long been debated whether Asperger's Syndrome (ASP) should be considered part of the Autism Spectrum Disorders (ASD) or whether it constitutes a unique entity. The Diagnostic and Statistical Manual, fourth edition (DSM-IV) differentiated ASP from high functioning autism. However, the new DSM-5 umbrellas ASP within ASD, thus eliminating the ASP diagnosis. To date, no clear biom...

Active learning is a critical technique for reducing labelling load by selecting the most informative data. Most previous works applied active on Named Entity Recognition (token-level task) similar to text classification (sentence-level task). They failed consider heterogeneity of uncertainty within each sentence and required access entire annotator when labelling. To overcome mentioned limitat...

Research on coreference resolution and summarization has modeled the way entities are realized as concrete phrases in discourse. In particular there exist models of the noun phrase syntax used for discourse-new versus discourse-old referents, and models describing the likely distance between a pronoun and its antecedent. However, models of discourse coherence, as applied to information ordering...