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Automatic extraction of core learning goals and generation of pedagogical sequences through a collection of digital library resources.

, , and . JCDL, page 67-76. ACM, (2013)

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Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence., , and . TACL, (2014)Dense Event Ordering with a Multi-Pass Architecture., , , and . TACL, (2014)A survey on the application of recurrent neural networks to statistical language modeling., , and . Computer Speech & Language, 30 (1): 61-98 (2015)Towards automatic identification of core concepts in educational resources., , and . JCDL, page 379-388. IEEE Computer Society, (2014)Domain Adaptation in Semantic Role Labeling Using a Neural Language Model and Linguistic Resources., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (11): 1812-1823 (2015)CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features., and . SemEval@ACL, page 129-132. The Association for Computer Linguistics, (2007)Not All Character N-grams Are Created Equal: A Study in Authorship Attribution., , , and . HLT-NAACL, page 93-102. The Association for Computational Linguistics, (2015)Alignment over Heterogeneous Embeddings for Question Answering., , and . NAACL-HLT (1), page 2681-2691. Association for Computational Linguistics, (2019)Neural Temporal Relation Extraction., , , , and . EACL (2), page 746-751. Association for Computational Linguistics, (2017)CUAB: Supervised Learning of Disorders and their Attributes using Relations., , and . SemEval@NAACL-HLT, page 417-421. The Association for Computer Linguistics, (2015)