naacl 2016 论文列表Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@NAACL-HLT 2016, June 16, 2016, San Diego, California, USA. |
Investigating Active Learning for Short-Answer Scoring.
Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categories.
Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays.
Automatically Extracting Topical Components for a Response-to-Text Writing Assessment.
Spoken Text Difficulty Estimation Using Linguistic Features.
Candidate re-ranking for SMT-based grammatical error correction.
Combining Off-the-shelf Grammar and Spelling Tools for the Automatic Evaluation of Scientific Writing (AESW) Shared Task 2016.
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction.
Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism Detection.
Augmenting Course Material with Open Access Textbooks.
Combined Tree Kernel-based classifiers for Assessing Quality of Scientific Text.
Automatically Scoring Tests of Proficiency in Music Instruction.
Cost-Effectiveness in Building a Low-Resource Morphological Analyzer for Learner Language.
Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing.
Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners.
Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context.
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises.
Feature-Rich Error Detection in Scientific Writing Using Logistic Regression.
Detecting Context Dependence in Exercise Item Candidates Selected from Corpora.
Pictogrammar: an AAC device based on a semantic grammar.
Fernando Javier Martínez Santiago Miguel Ángel García Cumbreras Arturo Montejo-Ráez Manuel Carlos Díaz-Galiano
Model Combination for Correcting Preposition Selection Errors.
Automated scoring across different modalities.
The NTNU-YZU System in the AESW Shared Task: Automated Evaluation of Scientific Writing Using a Convolutional Neural Network.
Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner Language.
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection.
Unsupervised Modeling of Topical Relevance in L2 Learner Text.
Characterizing Text Difficulty with Word Frequencies.
Predicting the Spelling Difficulty of Words for Language Learners.
Topicality-Based Indices for Essay Scoring.
A Report on the Automatic Evaluation of Scientific Writing Shared Task.
Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study.
Automated classification of collaborative problem solving interactions in simulated science tasks.
Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams.
Text Readability Assessment for Second Language Learners.
The Effect of Multiple Grammatical Errors on Processing Non-Native Writing.