38 research outputs found
Evaluating and Improving the Coreference Capabilities of Machine Translation Models
Machine translation (MT) requires a wide range of linguistic capabilities,
which current end-to-end models are expected to learn implicitly by observing
aligned sentences in bilingual corpora. In this work, we ask: \emph{How well do
MT models learn coreference resolution from implicit signal?} To answer this
question, we develop an evaluation methodology that derives coreference
clusters from MT output and evaluates them without requiring annotations in the
target language. We further evaluate several prominent open-source and
commercial MT systems, translating from English to six target languages, and
compare them to state-of-the-art coreference resolvers on three challenging
benchmarks. Our results show that the monolingual resolvers greatly outperform
MT models. Motivated by this result, we experiment with different methods for
incorporating the output of coreference resolution models in MT, showing
improvement over strong baselines.Comment: EACL pape
Integration of new biological and physical retrospective dosimetry methods into EU emergency response plans : joint RENEB and EURADOS inter-laboratory comparisons
Purpose: RENEB, 'Realising the European Network of Biodosimetry and Physical Retrospective Dosimetry,' is a network for research and emergency response mutual assistance in biodosimetry within the EU. Within this extremely active network, a number of new dosimetry methods have recently been proposed or developed. There is a requirement to test and/or validate these candidate techniques and inter-comparison exercises are a well-established method for such validation.
Materials and methods: The authors present details of inter-comparisons of four such new methods: dicentric chromosome analysis including telomere and centromere staining; the gene expression assay carried out in whole blood; Raman spectroscopy on blood lymphocytes, and detection of radiation induced thermoluminescent signals in glass screens taken from mobile phones.
Results: In general the results show good agreement between the laboratories and methods within the expected levels of uncertainty, and thus demonstrate that there is a lot of potential for each of the candidate techniques.
Conclusions: Further work is required before the new methods can be included within the suite of reliable dosimetry methods for use by RENEB partners and others in routine and emergency response scenarios
DS1_ST_10.1177_0735275118759697 – Supplemental material for The Love of Neuroscience: A Sociological Account
<p>Supplemental material, DS1_ST_10.1177_0735275118759697 for The Love of Neuroscience: A Sociological Account by Gabriel Abend in Sociological Theory</p