In this paper, we present the experiments we made to recover the original page layout structure into two columns from layout damaged digitized files. We designed several CRF-based approaches, either to identify column separator or to classify each token from each line into left or right columns. We achieved our best results with a model trained on homogeneous corpora (only files composed of 2 c...

In this paper, we present a Conditional Random Fields (CRFs) framework for the Clause Splitting problem. We adapt the CRFs model to this problem in order to use a very large sets of arbitrary, overlapping and non-independent features. In addition, we propose the use of rich linguistic information along with a new bottomup dynamic algorithm for decoding to split a sentence into clauses. The expe...

In this paper, we present Thai named entity recognition (NER) systems using supervised Conditional Random Fields (CRFs) with various answer patterns to find out whether different answer patterns would affect the performance of the systems. Every system used the same set of features except the answers in the training corpus. There are 5 patterns of answer used in this study. The results show tha...

The human brain can be described as containing a number of functional regions. These regions, as well as the connections between them, play a key role in information processing in the brain. However, most existing multi-voxel pattern analysis approaches either treat multiple regions as one large uniform region or several independent regions, ignoring the connections between them. In this paper ...

Oftentimes, the challenge in disseminating research results to the practitioner is to package and present the results in a manner that is accessible and easy to use, while still providing the depth, guidance, and necessary information. In most cases, final research reports are made available in printed form and online, however, for some applications converting the report to a more interactive o...

C. R. Fricker (corresponding author) CRF Consulting, Child’s Acre, Church Lane, Three Mile Cross, Reading RG7 1HD, UK Tel.:0774

Chinese tweets segmentation is a critical problem in natural language processing area. While segmentation of in-vocabulary words is well studied to date, few research findings are yet available concerning the prediction of new words on twitter. In this paper, we attempt to exploit multiple features for segmenting tweets in real text. To this end, we first take morpheme as the basic component un...

Classifying what-type questions into proper semantic categories is found more challenging than classifying other types in question answering systems. In this paper, we propose to classify what-type questions by head noun tagging. The approach highlights the role of head nouns as the category discriminator of whattype questions. To reduce the semantic ambiguities of head noun, we integrate local...

This paper describes VUACLTL, the system the CLTL Lab submitted to the SemEval 2016 Task Clinical TempEval. The system is based on a purely data-driven approach based on a cascade of seven CRF classifiers which use generic features and little domain knowledge. The challenge consisted in six subtasks related to temporal processing clinical notes from raw text (event and temporal expression detec...