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Found 42 papers, 1 papers with code
DICE: Deep Significance Clustering for Outcome-Aware Stratification
Following the representation learning and clustering steps, we embed the objective function in DICE with a constraint which requires a statistically significant association between the outcome and cluster membership of learned representations.
Using Bilingual Patents for Translation Training
While bilingual corpora have been instrumental for machine translation, their utility for training translators has been less explored.
Automatic Assistance for Academic Word Usage
This paper describes a writing assistance system that helps students improve their academic writing.
A Dataset for Investigating the Impact of Feedback on Student Revision Outcome
The dataset consists of student-written sentences in their original and revised versions with teacher feedback provided for the errors.
Using Verb Frames for Text Difficulty Assessment
This paper presents the first investigation on using semantic frames to assess text difficulty.
A Counselling Corpus in Cantonese
In a case study, we created a chatbot with a domain-specific subcorpus that addressed 25 issues in test anxiety, with 436 inputs solicited from native speakers of Cantonese and 150 chatbot replies harvested from mental health websites.
Personalized Substitution Ranking for Lexical Simplification
In the typical LS pipeline, the Substitution Ranking step determines the best substitution out of a set of candidates.
Parallel Unbalanced Optimal Transport Regularization for Large Scale Imaging Problems
The modeling of phenomenological structure is a crucial aspect in inverse imaging problems.
Hierarchical Optimal Transport for Multimodal Distribution Alignment
Our results demonstrate that when clustered structure exists in datasets, and is consistent across trials or time points, a hierarchical alignment strategy that leverages such structure can provide significant improvements in cross-domain alignment.
Personalized Text Retrieval for Learners of Chinese as a Foreign Language
This paper describes a personalized text retrieval algorithm that helps language learners select the most suitable reading material in terms of vocabulary complexity.
Personalizing Lexical Simplification
A lexical simplification (LS) system aims to substitute complex words with simple words in a text, while preserving its meaning and grammaticality.
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer
Tracking algorithms such as the Kalman filter aim to improve inference performance by leveraging the temporal dynamics in streaming observations.
Carrier Sentence Selection for Fill-in-the-blank Items
Fill-in-the-blank items are a common form of exercise in computer-assisted language learning systems.
Identifying Speakers and Listeners of Quoted Speech in Literary Works
We present the first study that evaluates both speaker and listener identification for direct speech in literary texts.
Lexical Simplification with the Deep Structured Similarity Model
We explore the application of a Deep Structured Similarity Model (DSSM) to ranking in lexical simplification.
Automatic Difficulty Assessment for Chinese Texts
We present a web-based interface that automatically assesses reading difficulty of Chinese texts.
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network
Here, we use a deep neural network of the variational autoencoder type to construct a parametric low-dimensional base model parameterization of complex binary geological media.
Splitting Complex English Sentences
This paper applies parsing technology to the task of syntactic simplification of English sentences, focusing on the identification of text spans that can be removed from a complex sentence.
L1-L2 Parallel Dependency Treebank as Learner Corpus
This opinion paper proposes the use of parallel treebank as learner corpus.
Distractor Generation for Chinese Fill-in-the-blank Items
This paper reports the first study on automatic generation of distractors for fill-in-the-blank items for learning Chinese vocabulary.
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia).
Developing Universal Dependencies for Mandarin Chinese
This article proposes a Universal Dependency Annotation Scheme for Mandarin Chinese, including POS tags and dependency analysis.
A Customizable Editor for Text Simplification
We present a browser-based editor for simplifying English text.
A Reading Environment for Learners of Chinese as a Foreign Language
We present a mobile app that provides a reading environment for learners of Chinese as a foreign language.
A Dependency Treebank of the Chinese Buddhist Canon
We present a dependency treebank of the Chinese Buddhist Canon, which contains 1, 514 texts with about 50 million Chinese characters.
An Annotated Corpus of Direct Speech
We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC).
