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Found 53 papers, 2 papers with code
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).
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.
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).
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.
L1-L2 Parallel Dependency Treebank as Learner Corpus
This opinion paper proposes the use of parallel treebank as learner corpus.
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.
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.
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.
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.
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.
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.
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.
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.
Parallel Unbalanced Optimal Transport Regularization for Large Scale Imaging Problems
The modeling of phenomenological structure is a crucial aspect in inverse imaging problems.
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.
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.
Automatic Assistance for Academic Word Usage
This paper describes a writing assistance system that helps students improve their academic writing.
Using Bilingual Patents for Translation Training
While bilingual corpora have been instrumental for machine translation, their utility for training translators has been less explored.
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.
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP
Multidimensional scaling is a statistical process that aims to embed high dimensional data into a lower-dimensional space; this process is often used for the purpose of data visualisation.
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients
Accuracy, time-gain, and OOD detection are analyzed for our method in this particular application and compared with the popular MCDO and DE.
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
The upper layer is called Speed Planner, and is a centralized optimal control algorithm.
Paraphrasing Compound Nominalizations
A nominalization uses a deverbal noun to describe an event associated with its underlying verb.
Unsupervised Adverbial Identification in Modern Chinese Literature
In Chinese, the derivation may be marked either with the standard adverbial marker DI, or the non-standard marker DE.
A Corpus of Simulated Counselling Sessions with Dialog Act Annotation
We present a corpus of simulated counselling sessions consisting of speech- and text-based dialogs in Cantonese.
Text Retrieval for Language Learners: Graded Vocabulary vs. Open Learner Model
When the user makes at least half of the expected updates to the open learner model, simulation results show that it outperforms the graded approach in retrieving texts that fit user preference for new-word density.
Restatement and Question Generation for Counsellor Chatbot
We obtained the best performance in both restatement and question generation by fine-tuning BertSum, a state-of-the-art summarization model, with the in-domain manual dataset augmented with a large-scale, automatically mined open-domain dataset.
Character Set Construction for Chinese Language Learning
To promote efficient learning of Chinese characters, pedagogical materials may present not only a single character, but a set of characters that are related in meaning and in written form.
