In this paper we describe our entry to the SemEval 2015 clinical text analysis task. We participated only in the disorder attribute detection task 2a. Our main goal was to assess how well an information extraction system originally developed for a different task and domain can be utilized in this task. Our system, based on SVM and CRF classifiers, showed promising results, placing 3rd out of 6 ...

Thanks to the Eslo1 (« Enquête sociolinguistique d'Orléans », i.e. « Sociolinguistic Inquiery of Orléans) campain, a large oral corpus has been gathered and transcribed in a textual format. The purpose of the work presented here is to associate a morpho-syntactic label to each unit of this corpus. To this aim, we have first studied the specificities of the necessary labels, and their various po...

We explore the use of conditional random fields (CRFs) to automatically extract important metadata from clinical research articles. These metadata fields include formulaic metadata about the authors, extracted from the title page, as well as free text fields concerning the study’s critical parameters, such as longitudinal variables and medical intervention methods, extracted from the body text ...

This paper discusses about the detection of clause boundaries using a hybrid approach. The Conditional Random fields (CRFs), which have linguistic rules as features, identifies the boundaries initially. The boundary marked is checked for false boundary marking using Error Pattern Analyser. The false boundary markings are re-analysed using linguistic rules. The experiments done with our approach...

Recently, it has been shown that early division patterns, such as cell division timing biomarkers, are crucial to predict human embryo viability. Precise and accurate measurement of these markers requires cell lineage analysis to identify normal and abnormal division patterns. However, current approaches to early-stage embryo analysis only focus on estimating the number of cells and their locat...

Controlled-release fertilizers (CRF) are the newest and most technically advanced way of supplying mineral nutrients to nursery crops. Compared to conventional fertilizers, their gradual pattern of nutrient release better meets plant needs, minimizes leaching, and therefore improves fertilizer use efficiency. In our review of the literature, we found many terms used interchangeably with control...

Detecting and extracting treatments, treatment groups and outcomes is a key step in generating summaries of medical research papers. We describe initial results in applying namedentity recognition methods to the task of extracting such entities from BMJ abstracts. Results are promising, showing that a conditional random field approach using word and semantic features appears to be more useful f...

Automatic opinion recognition involves a number of related tasks, such as identifying the boundaries of opinion expression, determining their polarity, and determining their intensity. Although much progress has been made in this area, existing research typically treats each of the above tasks in isolation. In this paper, we apply a hierarchical parameter sharing technique using Conditional Ran...

In the process of learning and using Chinese, foreigners may have grammatical errors due to negative migration of their native languages. Currently, the computer-oriented automatic detection method of grammatical errors is not mature enough. Based on the evaluating task ---CGED2016, we select and analyze the classification model and design feature extraction method to obtain grammatical errors ...