It is estimated that 20% of genes in the human genome code for integral membrane proteins(IMPs) and some estimates are much higher. IMPs control a broad range of events essential to the proper functioning of cells, tissues and organisms. IMPs include the most common targets of clinically useful drugs, such as the G protein coupled receptors (GPCR), the target for more than 50% of prescription d...

This paper describes a new methodology for enhancing the quality and relevance of suggestions provided to users of interactive Q/A systems. We show that by using Conditional Random Fields to combine relevance feedback gathered from users along with information derived from discourse structure and coherence, we can accurately identify irrelevant suggestions with nearly 90% F-measure.

Many acoustic approaches to prosodic labeling in English have employed only local classifiers, although text-based classification has employed some sequential models. In this paper we employ linear chain and factorial conditional random fields (CRFs) in conjunction with rich, contextually-based prosodic features, to exploit sequential dependencies and to facilitate integration with lexical feat...

In this paper, we apply a bidirectional Long Short-Term Memory with a Conditional Random Field to the task of disfluency detection. Long-range dependencies is one of the core problems for disfluency detection. Our model handles long-range dependencies by both using the Long Short-Term Memory and hand-crafted discrete features. Experiments show that utilizing the hand-crafted discrete features s...

Following classical antiquity, European poetic meter was complicated by traditions negotiating between the prosodic stress of vernacular dialects and a classical system based on syllable length. Middle High German (MHG) epic poetry found a solution in a hybrid qualitative and quantitative meter. We develop a CRF model to predict the metrical values of syllables in MHG epic verse, achieving an F...

This paper reports about the development of clause identification and classification techniques for Bengali language. A syntactic rule based model has been used to identify the clause boundary. For clause type identification a Conditional random Field (CRF) based statistical model has been used. The clause identification system and clause classification system demonstrated 73% and 78% precision...

Many acoustic approaches to prosodic labeling in English have employed only local classifiers, although text-based classification has employed some sequential models. In this paper we employ linear chain and factorial conditional random fields (CRFs) in conjunction with rich, contextually-based prosodic features, to exploit sequential dependencies and to facilitate integration with lexical feat...

Supervised methods have been the dominant approach for Chinese word segmentation. The performance can drop significantly when the test domain is different from the training domain. In this paper, we study the problem of obtaining partial annotation from freely available data to help Chinese word segmentation on different domains. Different sources of free annotations are transformed into a unif...

Thanks to advances in DNA sequencing and bioinformatics methods, for many species we know their genomic sequence as well as sequences of proteins produced by their cells. However, the exact function of those proteins is often unknown. The goal of our work is to automatically recognize neuropeptides, special proteins involved in communication between neurons. Neuropeptides are created in a cell ...

The quality of communication in videoconferencing is compromised by the fact that participants cannot maintain eye contact. We propose an original solution to this problem. Using color and depth information from a Kinect camera, we will use a Conditional Random Field to model each participant’s eye position in 3D space, which will allow us to reorient the image to create the illusion of looking...