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Found 18 papers, 1 papers with code
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, with lung adenocarcinoma being the most prevalent form of lung cancer.
Context-Aware Scene Graph Generation With Seq2Seq Transformers
In this task, the model needs to detect objects and predict visual relationships between them.
TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners
We present a writing prototype feedback system, TellMeWhy, to provide explanations of errors in submitted essays.
Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners
We introduce a system aimed at improving and expanding second language learners{'} English vocabulary.
Level-Up: Learning to Improve Proficiency Level of Essays
We introduce a method for generating suggestions on a given sentence for improving the proficiency level.
Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings
We present a method for learning bilingual word embeddings in order to support second language (L2) learners in finding recurring phrases and example sentences that match mixed-code queries (e. g., {``}接 受 sentence{''}) composed of words in both target language and native language (L1).
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora
This paper presents a grammatical error correction (GEC) system that provides corrective feedback for essays.
LanguageNet: Learning to Find Sense Relevant Example Sentences
In this paper, we present a system, LanguageNet, which can help second language learners to search for different meanings and usages of a word.
Learning Synchronous Grammar Patterns for Assisted Writing for Second Language Learners
A synchronous grammar pattern describes a grammar pattern in the target language (e. g., English) and its counterpart in an other language (e. g., Mandarin), serving the purpose of native language support.
Verb Replacer: An English Verb Error Correction System
According to the analysis of Cambridge Learner Corpus, using a wrong verb is the most common type of grammatical errors.
Linggle Knows: A Search Engine Tells How People Write
This paper shows the great potential of incorporating different approaches to help writing.
Parallel Sampling of HDPs using Sub-Cluster Splits
We develop a sampling technique for Hierarchical Dirichlet process models.
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
We present a novel MCMC sampler for Dirichlet process mixture models that can be used for conjugate or non-conjugate prior distributions.
A Video Representation Using Temporal Superpixels
We develop a generative probabilistic model for temporally consistent superpixels in video sequences.
