COREFERENCE RESOLUTION IN VIETNAMESE ELECTRONIC MEDICAL RECORDS

Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific literature.

40. You have been asked to speak at a local organization about the electronic health record. You have been asked "Why has it taken so long to use computerized health records - other industries have conducted business by computer for a long time." How will you answer? Answe[r]

Our goals are twofold: to measure the level of performance of state-of-the-art corefer-ence resolvers on different types of anaphora, and to develop a quantitative measure for estimating[r]

Bone metastases commonly occur in conjunction with solid tumors, and are associated with serious bone complications. Population-based estimates of bone metastasis incidence are limited, often based on autopsy data, and may not reflect current treatment patterns.

coli_ reference laboratory in Montreal 3 Finalise production records from test and control farms 4 Site visit and training programme for Vietnamese scientists for 004/05VIE so they can d[r]

4 NP COREFERENCE USING MANY FEATURES This section describes the second major extension to the Soon approach investigated here: we explore the effect of including 41 additional, potential[r]

TRANG 5 PRO-PAIRWISE VERBAL FEATURES edit-distance a numerical measure of the string simi-larity between the two NPs exact-match true if the two NPs have identical sur-face forms str-mat[r]

For instance, in or-der to solve the coreference chain of event men-tions that refer to the event e2, we need to take into account the following issues: i a coreference chain can encode [r]

MEDICAL RECORDS OFFICER 5 ADMINISTRATION UNITS SELECTED FROM: • BSBADM401B Produce complex texts from shorthand notes • BSBADM405B Organise meetings • BSBADM406B Organise business travel[r]

4We used two variants of ACE Phase 2: ACE-2 and TRANG 6 Markable Pairs Filtering Association Calculation Pair Generation Filter Templates Association Information Train/Test Markable Pair[r]

4 PATTERNED BASED SEMANTIC RELATEDNESS 4.1 ACQUIRING THE PATTERNS To derive patterns to indicate a specific semantic re-lation, a set of seed NP pairs that have the relation of interest [r]

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relation to the education level and experience of indivi- dual EMS personnel would have to be performed.
Seven different ground ambulance record templates
were in use in the study area, each template with a vari- ety of options for documenting patient physiology (Table 5). Given[r]

Among them, S-List, a version of centering algorithm, uses well-defined heuristic rules to rank the antecedent candidates; Ng and Cardie’s ap-proach employs the standard single-candidate[r]

Women may have incomplete understanding of a breast cancer diagnosis, leading to inaccurate reporting in epidemiological studies. However, it is not feasible to obtain consent for medical records from all women participating in a study.

TRANG 1 SEMANTIC ROLE LABELING FOR COREFERENCE RESOLUTION SIMONE PAOLO PONZETTOandMICHAEL STRUBE EML Research gGmbH Schloss-Wolfsbrunnenweg 33 69118 Heidelberg, Germany http://www.eml-re[r]

Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks.

To characterize prognostic and risk factors of central nervous system (CNS) metastases in patients with epithelial ovarian cancer (EOC). Methods: A retrospective analysis of Xijing Hospital electronic medical records was conducted to identify patients with pathologically confirmed EOC and CNS metast[r]

Colorectal cancer is an important public health problem in Spain. Over the last decade, several regions have carried out screening programmes, but population participation rates remain below recommended European goals. Reminders on electronic medical records have been identified as a low-cost and hi[r]

We build a pairwise logistic classifier, trained on all pairs of mentions, and then at test time we use an ILP solver equipped with transitivity constraints to find the most likely legal[r]