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