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Showing 376–400 of 407 papers

TitleStatusHype
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia—0
Filtering and Mining Parallel Data in a Joint Multilingual Space—0
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity—0
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity TasksCode0
Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision—0
On the Vector Representation of Utterances in Dialogue Context—0
A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search—0
Learning Sentence Embeddings for Coherence Modelling and Beyond—0
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence RepresentationsCode0
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models—0
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction—0
UNSUPERVISED SENTENCE EMBEDDING USING DOCUMENT STRUCTURE-BASED CONTEXT—0
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingCode0
MappSent: a Textual Mapping Approach for Question-to-Question Similarity—0
Improving Machine Translation Quality Estimation with Neural Network Features—0
EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion IntensityCode0
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesCode0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
Skip-Prop: Representing Sentences with One Vector Per Proposition—0
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification—0
Mapping Between fMRI Responses to Movies and their Natural Language AnnotationsCode0
Open-Ended Visual Question-AnsweringCode0
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksCode0
Learning Joint Representations of Videos and Sentences with Web Image Search—0
Sentence Embedding Evaluation Using Pyramid Annotation—0
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