The paper presents a novel sentence trimmer in Japanese, which combines a non-statistical yet generic tree generation model and Conditional Random Fields (CRFs), to address improving the grammaticality of compression while retaining its relevance. Experiments found that the present approach outperforms in grammaticality and in relevance a dependency-centric approach (Oguro et al., 2000; Morooka...

Half of the world’s population is estimated to be at least bilingual. Due to this fact many people use multiple languages interchangeably for effective communication. At the Second Workshop on Computational Approaches to Code Switching, we are presented with a task to label codeswitched, Spanish-English (ES-EN) and Modern Standard Arabic-Dialect Arabic (MSA-DA), tweets. We built a Conditional R...

We describe a supervised system that uses optimized Conditional Random Fields and lexical features to predict the sentiment of a tweet. The system was submitted to the English version of all subtasks in SemEval-2017 Task 4.

In this project, we approach the problem of English-word hyphenation using a linear-chain conditional random field model. We measure the effectiveness of different feature combinations and two different learning methods: Collins perceptron and stochastic gradient following. We achieve the accuracy rate of 77.95% using stochastic gradient descent.

Intestinal enteroendocrine cells secrete hormones that are vital for the regulation of glucose metabolism but their differentiation from intestinal stem cells is not fully understood. Asymmetric stem cell divisions have been linked to intestinal stem cell homeostasis and secretory fate commitment. We monitored cell divisions using 4D live cell imaging of cultured intestinal crypts to characteri...

Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a large portion of the images. We present a novel approach that can cope with extensive clutter as well as large scale and appearance variations between object instances. To make this possible we propose a conditional ...