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Language Modeling

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Showing 13551–13600 of 14182 papers

TitleStatusHype
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts—0
Syllable-aware Neural Language Models: A Failure to Beat Character-aware OnesCode0
High-risk learning: acquiring new word vectors from tiny dataCode0
Improving Language Modeling using Densely Connected Recurrent Neural Networks—0
A Simple Language Model based on PMI Matrix Approximations—0
Do Neural Nets Learn Statistical Laws behind Natural Language?—0
Controlling Linguistic Style Aspects in Neural Language Generation—0
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network—0
An Embedded Deep Learning based Word PredictionCode0
Multiscale sequence modeling with a learned dictionary—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation—0
Weighted-Entropy-Based Quantization for Deep Neural Networks—0
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding—0
Improved Word Representation Learning with SememesCode0
Automatically Generating Rhythmic Verse with Neural Networks—0
Detecting annotation noise in automatically labelled data—0
Joint CTC/attention decoding for end-to-end speech recognition—0
Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations—0
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)—0
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting—0
Generative Bridging Network in Neural Sequence Prediction—0
Comparison of Modified Kneser-Ney and Witten-Bell Smoothing Techniques in Statistical Language Model of Bahasa Indonesia—0
Device Placement Optimization with Reinforcement LearningCode0
Exploring the Syntactic Abilities of RNNs with Multi-task LearningCode0
YellowFin and the Art of Momentum TuningCode0
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LMCode0
Gated Recurrent Neural Tensor Network—0
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning—0
Visual attention models for scene text recognition—0
當代非監督式方法之比較於節錄式語音摘要 (An Empirical Comparison of Contemporary Unsupervised Approaches for Extractive Speech Summarization) [In Chinese]—0
Learning to Compute Word Embeddings On the Fly—0
Biased Importance Sampling for Deep Neural Network TrainingCode0
Adversarial Generation of Natural Language—0
Accelerating Neural Architecture Search using Performance PredictionCode0
Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who!—0
Semi-Supervised Model Training for Unbounded Conversational Speech Recognition—0
Deriving Neural Architectures from Sequence and Graph Kernels—0
Fast-Slow Recurrent Neural NetworksCode0
Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition—0
Spelling Correction as a Foreign Language—0
Recurrent Additive NetworksCode0
Mixed Membership Word Embeddings for Computational Social Science—0
Information Density as a Factor for Variation in the Embedding of Relative Clauses—0
Generating Memorable Mnemonic Encodings of NumbersCode0
Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion—0
Going Wider: Recurrent Neural Network With Parallel Cells—0
Exploring Properties of Intralingual and Interlingual Association Measures Visually—0
Finnish resources for evaluating language model semanticsCode0
The Effect of Translationese on Tuning for Statistical Machine Translation—0
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