Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Ted Briscoe"'
Autor:
Ted Briscoe
This is a study of how children acquire language and how this affects language change over generations. Written by an international team of experts, the volume proceeds from the basis that we can not only address the language faculty per se within th
In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation. We devise two datasets of various linguistic alterations that undermine coherence and test model sensit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4431c45cfcec33d246203554fdd5bb9f
Autor:
Ted Briscoe, Marek Rei
Publikováno v:
CoNLL
The task of detecting and generating hyponyms is at the core of semantic understanding of language, and has numerous practical applications. We investigate how neural network embeddings perform on this task, compared to dependency-based vector space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::978d3eade1ca952fb48a638378771ec2
Publikováno v:
NAACL-HLT (1)
Automating the assessment of learner summaries provides a useful tool for assessing learner reading comprehension. We present a summarization task for evaluating non-native reading comprehension and propose three novel approaches to automatically ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74a266a66beaac6e2a31cdaa30c26dae
http://arxiv.org/abs/1906.07555
http://arxiv.org/abs/1906.07555
Publikováno v:
BEA@ACL
This paper reports on the BEA-2019 Shared Task on Grammatical Error Correction (GEC). As with the CoNLL-2014 shared task, participants are required to correct all types of errors in test data. One of the main contributions of the BEA-2019 shared task
Publikováno v:
Yannakoudakis, H, Andersen, Ø E, Geranpayeh, A, Briscoe, T & Nicholls, D 2018, ' Developing an automated writing placement system for ESL learners ', APPLIED MEASUREMENT IN EDUCATION, vol. 31, no. 3, pp. 251-267 . https://doi.org/10.1080/08957347.2018.1464447
There are quite a few challenges in the development of an automated writing placement model for non-native English learners, among them the fact that exams that encompass the full range of language proficiency exhibited at different stages of learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e35cce57d50b1e7a95ae0da293ff1b
https://www.repository.cam.ac.uk/handle/1810/289518
https://www.repository.cam.ac.uk/handle/1810/289518
Autor:
Ted Briscoe, Christopher Bryant
Publikováno v:
BEA@NAACL-HLT
Since the end of the CoNLL-2014 shared task on grammatical error correction (GEC), research into language model (LM) based approaches to GEC has largely stagnated. In this paper, we re-examine LMs in GEC and show that it is entirely possible to build
Publikováno v:
BEA@NAACL-HLT
Some language exams have multiple writing tasks. When a learner writes multiple texts in a language exam, it is not surprising that the quality of these texts tends to be similar, and the existing automated text scoring (ATS) systems do not explicitl
Publikováno v:
ACL (1)
Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated. To overcome this problem, we introduce ERRANT, a grammatical ERRor ANnotation Toolkit d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56efe065b0ed9923f7737cdc55898858
This paper addresses the task of readability assessment for the texts aimed at second language (L2) learners. One of the major challenges in this task is the lack of significantly sized level-annotated data. For the present work, we collected a datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::665812372070cdaca045e8660457ad49