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Sentence Embeddings

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Showing 526550 of 615 papers

TitleStatusHype
RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation EvaluationCode0
Encoding Gated Translation Memory into Neural Machine Translation0
Similarity-Based Reconstruction Loss for Meaning Representation0
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data0
Semantic Sentence Embeddings for Paraphrasing and Text Summarization0
Learning and Evaluating Sparse Interpretable Sentence Embeddings0
Categorizing Comparative SentencesCode0
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks0
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions0
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural TherapyCode0
Attention-based Neural Text SegmentationCode0
Generating Text through Adversarial Training using Skip-Thought VectorsCode0
Sentence Embeddings in NLI with Iterative Refinement EncodersCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Deep Bayesian Learning and Understanding0
Convolutional Neural Network for Universal Sentence Embeddings0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings0
Unsupervised Online Multitask Learning of Behavioral Sentence Embeddings0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification0
Connecting Supervised and Unsupervised Sentence Embeddings0
Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring0
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline0
A Multi-task Approach to Learning Multilingual Representations0
What you can cram into a single \$\&!\#* vector: Probing sentence embeddings for linguistic properties0
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations0
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