We address fine-grained entity classification and propose a novel attention-based recurrent neural network (RNN) encoderdecoder that generates paths in the type hierarchy and can be trained end-to-end. We show that our model performs better on fine-grained entity classification than prior work that relies on flat or local classifiers that do not directly model hierarchical structure.

This paper presents a system for classifying disaster-related tweets. The focus is on Twitter data generated before, during, and after Hurricane Sandy, which impacted New York in the fall of 2012. We propose an annotation schema for identifying relevant tweets as well as the more fine-grained categories they represent, and develop feature-rich classifiers for relevance and fine-grained categori...

to Develop Fine-grained Measures of Interactive Teaching in Undergraduate Science Classrooms (WCER Working Paper 2013-6). Retrieved from University of Wisconsin–Madison, Wisconsin Center for Education Research website: http://www.wcer.wisc.edu/publications/workingPapers/papers.php Exploring the Use of the Teaching Dimensions Observation Protocol to Develop Fine‐grained Measures of Interactive T...

In recent years, question answering (QA) and reading comprehension (RC) has attracted much attention, most research on QA focused multi-hop task which requires connecting multiple pieces of evidence scattered in a long context to answer the question. The key is semantic feature interaction between documents questions, widely processed by Bi-directional Attention Flow (Bi-DAF), but Bi-DAF genera...

In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance applications. We propose an approach orthogonal to recent advancement in fine-grained recognition (automatic part discovery, bilinear pooling). Also, in contrast to other methods focused on fine-grained recognition of vehicles, we do not limit ourselves to frontal/rear viewpoint but allow the vehicles...

Suk, D. Van der Voo, R. and Peacor, D.R., 1992. SEM/STEM observation of magnetic minerals in presumably unremagnetized Paleozoic carbonates from Indiana and Alabama. Tecfonop!tysics, 215: 255-272. The Silurian Wabash Formation in Indiana and the Mississippian Pride Mountain Formation in Alabama appear not to have been affected by a late Paleozoic remagnetization event. In an attempt to characte...

In fine-grained action (object manipulation) recognition, it is important to encode object semantic (contextual) information, i.e., which object is being manipulated and how it is being operated. However, previous methods for action recognition often represent the semantic information in a global and coarse way and therefore cannot cope with fine-grained actions. In this work, we propose a repr...

Structural transformations caused by coarse-grained powdering and fine-grained mechanochemical milling in a dry mode were probed in high-temperature modification of tetra-arsenic tetra-sulfide known as β-As4S4. In respect to X-ray diffraction analysis, the characteristic sizes of β-As4S4 crystallites in these coarse- and fine-grained powdered pellets were 90 and 40 nm, respectively. Positron an...