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Natural Language Understanding

678 directly classified papers

Papers per year

Papers

Reference-Aware Language Models EMNLP 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary ACL 2017
A Neural Local Coherence Model ACL 2017
Naturalizing a Programming Language via Interactive Learning ACL 2017
Sequence-to-Dependency Neural Machine Translation ACL 2017
Deep Learning in Semantic Kernel Spaces ACL 2017
A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing ACL 2017
A* CCG Parsing with a Supertag and Dependency Factored Model ACL 2017
Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017
FOIL it! Find One mismatch between Image and Language caption ACL 2017
Obtaining referential word meanings from visual and distributional information: Experiments on object naming ACL 2017
Incremental Graph-based Neural Dependency Parsing EMNLP 2017
Universal Semantic Parsing EMNLP 2017
End-to-end Neural Coreference Resolution EMNLP 2017
MUSE: Modularizing Unsupervised Sense Embeddings EMNLP 2017
What is it? Disambiguating the different readings of the pronoun ‘it’ EMNLP 2017
Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection EMNLP 2017
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence EMNLP 2017
Neural Discontinuous Constituency Parsing EMNLP 2017
LatticeRnn: Recurrent Neural Networks Over Lattices INTERSPEECH 2016
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding INTERSPEECH 2016
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NIPS 2011
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009