Search Results for author: Ted Briscoe

Found 29 papers, 6 papers with code

Emergent Word Order Universals from Cognitively-Motivated Language Models

no code implementations19 Feb 2024 Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin

This also showcases the advantage of cognitively-motivated LMs, which are typically employed in cognitive modeling, in the computational simulation of language universals.

Analyzing Neural Discourse Coherence Models

1 code implementation EMNLP (CODI) 2020 Youmna Farag, Josef Valvoda, Helen Yannakoudakis, Ted Briscoe

In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation.


Automatic learner summary assessment for reading comprehension

no code implementations NAACL 2019 Menglin Xia, Ekaterina Kochmar, Ted Briscoe

Automating the assessment of learner summaries provides a useful tool for assessing learner reading comprehension.

Reading Comprehension

Language Model Based Grammatical Error Correction without Annotated Training Data

no code implementations WS 2018 Christopher Bryant, Ted Briscoe

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.

Grammatical Error Correction Language Modelling +1

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

1 code implementation NAACL 2018 Youmna Farag, Helen Yannakoudakis, Ted Briscoe

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.

Automated Essay Scoring

Curriculum Q-Learning for Visual Vocabulary Acquisition

no code implementations29 Nov 2017 Ahmed H. Zaidi, Russell Moore, Ted Briscoe

The structure of curriculum plays a vital role in our learning process, both as children and adults.


An Error-Oriented Approach to Word Embedding Pre-Training

no code implementations WS 2017 Youmna Farag, Marek Rei, Ted Briscoe

Additionally, extending the model with corrections provides further performance gains when data sparsity is an issue.

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

1 code implementation ACL 2017 Christopher Bryant, Mariano Felice, Ted Briscoe

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.

Annotated Code Search Grammatical Error Correction +3

Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments

no code implementations COLING 2016 Mariano Felice, Christopher Bryant, Ted Briscoe

We propose a new method of automatically extracting learner errors from parallel English as a Second Language (ESL) sentences in an effort to regularise annotation formats and reduce inconsistencies.

Grammatical Error Correction Machine Translation +1

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