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Language Modeling

2,693 papers

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Papers

Should Neural Network Architecture Reflect Linguistic Structure? CoNLL 2017 Sound-Word2Vec: Learning Word Representations Grounded in Sounds EMNLP 2017 Supervised Attention for Sequence-to-Sequence Constituency Parsing IJCNLP 2017 SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NeurIPS 2017 Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones EMNLP 2017 Synthesising isiZulu-English Code-Switch Bigrams Using Word Embeddings Interspeech 2017 The Language of Place: Semantic Value from Geospatial Context EACL 2017 The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy CoNLL 2017 The power of absolute discounting: all-dimensional distribution estimation NeurIPS 2017 Topical Coherence in LDA-based Models through Induced Segmentation ACL 2017 Topically Driven Neural Language Model ACL 2017 Topic Signatures in Political Campaign Speeches EMNLP 2017 To Plan or not to Plan? Discourse Planning in Slot-Value Informed Sequence to Sequence Models for Language Generation Interspeech 2017 Towards Better Decoding and Language Model Integration in Sequence to Sequence Models Interspeech 2017 Towards Quantum Language Models EMNLP 2017 Use of Global and Acoustic Features Associated with Contextual Factors to Adapt Language Models for Spontaneous Speech Recognition Interspeech 2017 Using the Output Embedding to Improve Language Models EACL 2017 Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017 What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017 Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016 Colloquialising Modern Standard Arabic Text for Improved Speech Recognition Interspeech 2016 Compositional Neural Network Language Models for Agglutinative Languages Interspeech 2016 Context-aware Natural Language Generation for Spoken Dialogue Systems COLING 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Different Contexts Lead to Different Word Embeddings COLING 2016