Simple and Effective Multi-Paragraph Reading Comprehension

We consider the problem of adapting neural paragraph-level question answering models to the case where entire documents are given as input. Our proposed solution trains models to produce well calibrated confidence scores for their results on individual paragraphs. We sample multiple paragraphs from the documents during training, and use a shared-normalization training objective that encourages the model to produce globally correct output. We combine this method with a state-of-the-art pipeline for training models on document QA data. Experiments demonstrate strong performance on several document QA datasets. Overall, we are able to achieve a score of 71.3 F1 on the web portion of TriviaQA, a large improvement from the 56.7 F1 of the previous best system.Comment: 11 pages, updated a referenc

Association between demographic factors and VL relapse.

<p>^a The remaining data were missing or incorrectly coded in the database.</p><p>^b The data from years 2007 and 2008 were combined, as operations began mid-2007. Patients treated in 2012 were excluded, as there would be limited time for relapse to present.</p><p>^c Fisher's Exact test.</p

Clinical characteristics of treated patients with visceral leishmaniasis (N = 8749).

<p>Where n<8749, data is missing.</p><p>Patients may have been diagnosed by rK39 and/or parasite confirmation.</p><p>Includes HIV +ve patients.</p

Risk factors for late presentation with visceral leishmaniasis (N = 8741)^a.

<p>^a Length of illness data missing in 8 patients.</p

Long-term outcomes of visceral leishmaniasis patients treated with 20 mg/kg Ambisome and monitored by active follow-up.

<p>Time periods and lost to follow-ups are progressive and inclusive, but deaths and number of relapses are mutually exclusive.</p><p>Excludes Lost to Follow Up in denominator.</p

Characteristics of patients with Visceral Leishmaniasis and HIV co-infection (N = 161).

<p>ART, antiretroviral therapy; VL, visceral leishmaniasis.</p

Admissions by month between 2007 and 2012.

<p>Admissions by month between 2007 and 2012.</p

Characteristics of the study population (N = 8749).

<p>Characteristics of the study population (N = 8749).</p

Association between clinical features and relapse of VL.

<p>^a Where patient numbers are <8537, the remaining data were missing or incorrectly coded in the database.</p

Multivariate analysis of risk factors for relapse.

<p>Multivariate analysis of risk factors for relapse.</p