Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Briscoe Ted"'
Regulatory documents, issued by governmental regulatory bodies, establish rules, guidelines, and standards that organizations must adhere to for legal compliance. These documents, characterized by their length, complexity and frequent updates, are ch
Externí odkaz:
http://arxiv.org/abs/2409.05677
The world's languages exhibit certain so-called typological or implicational universals; for example, Subject-Object-Verb (SOV) languages typically use postpositions. Explaining the source of such biases is a key goal of linguistics. We study word-or
Externí odkaz:
http://arxiv.org/abs/2402.12363
Autor:
Bryant, Christopher, Yuan, Zheng, Qorib, Muhammad Reza, Cao, Hannan, Ng, Hwee Tou, Briscoe, Ted
Publikováno v:
Computational Linguistics (2023) 49 (3): 643-701
Grammatical Error Correction (GEC) is the task of automatically detecting and correcting errors in text. The task not only includes the correction of grammatical errors, such as missing prepositions and mismatched subject-verb agreement, but also ort
Externí odkaz:
http://arxiv.org/abs/2211.05166
Publikováno v:
CODI workshop in EMNLP2020
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:
http://arxiv.org/abs/2011.06306
Autor:
Karamanis Nikiforos, Seal Ruth, Lewin Ian, McQuilton Peter, Vlachos Andreas, Gasperin Caroline, Drysdale Rachel, Briscoe Ted
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 193 (2008)
Abstract Background Despite increasing interest in applying Natural Language Processing (NLP) to biomedical text, whether this technology can facilitate tasks such as database curation remains unclear. Results PaperBrowser is the first NLP-powered in
Externí odkaz:
https://doaj.org/article/d3b6361680f14e75835a66c15aa244e2
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:
http://arxiv.org/abs/1906.07580
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:
http://arxiv.org/abs/1906.07555
Publikováno v:
The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018)
We demonstrate that current state-of-the-art approaches to Automated Essay Scoring (AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent sequences of sentences. We develop a neural model of local coherence t
Externí odkaz:
http://arxiv.org/abs/1804.06898
The structure of curriculum plays a vital role in our learning process, both as children and adults. Presenting material in ascending order of difficulty that also exploits prior knowledge can have a significant impact on the rate of learning. Howeve
Externí odkaz:
http://arxiv.org/abs/1711.10837
Publikováno v:
The 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2017)
We propose a novel word embedding pre-training approach that exploits writing errors in learners' scripts. We compare our method to previous models that tune the embeddings based on script scores and the discrimination between correct and corrupt wor
Externí odkaz:
http://arxiv.org/abs/1707.06841