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Language Models

705 directly classified papers

Papers per year

Papers

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NIPS 2018
Improving Abstraction in Text Summarization EMNLP 2018
Encoding Gated Translation Memory into Neural Machine Translation EMNLP 2018
Learning Neural Templates for Text Generation EMNLP 2018
Hierarchical Quantized Representations for Script Generation EMNLP 2018
Direct Output Connection for a High-Rank Language Model EMNLP 2018
Pyramidal Recurrent Unit for Language Modeling EMNLP 2018
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models EMNLP 2018
Universal Sentence Encoder for English EMNLP 2018
What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items EMNLP 2018
Closing Brackets with Recurrent Neural Networks EMNLP 2018
Deep contextualized word representations for detecting sarcasm and irony EMNLP 2018
Diachronic degradation of language models: Insights from social media ACL 2018
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers ACL 2018
Token-level and sequence-level loss smoothing for RNN language models ACL 2018
Sequence-to-sequence Models for Cache Transition Systems ACL 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018
High-risk learning: acquiring new word vectors from tiny data EMNLP 2017
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones EMNLP 2017
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU EMNLP 2017
Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017
Dynamic Entity Representations in Neural Language Models EMNLP 2017
Towards Quantum Language Models EMNLP 2017