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Sentence embedding
Deep Learning for Natural Language Processing Creating Neural Networks with Python
Text Feature Mining Using Pre-Trained Word Embeddings
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
Abusive and Hate Speech Tweets Detection with Text Generation
Learning Sentence Embeddings Using Recursive Networks
Learning Representations of Social Media Users Arxiv:1812.00436V1
Learning Bilingual Sentence Embeddings Via Autoencoding and Computing Similarities with a Multilayer Perceptron
Dependency-Based Convolutional Neural Networks for Sentence Embedding
Automatic Text Summarization Using Reinforcement Learning with Embedding Features
Dependency-Based Convolutional Neural Networks for Sentence Embedding∗
A Sentence Embedding Method by Dissecting BERT-Based Word Models Bin Wang, Student Member, IEEE, and C.-C
Comparing the Quality and Speed of Sentence Classification with Modern Language Models
Arxiv:1703.03130V1 [Cs.CL] 9 Mar 2017
A Structured Self-Attentive Sentence Embedding
Term Based Semantic Clusters for Very Short Text Classification
Learning Semantic Similarity in a Continuous Space
Clustering Semantically Related Questions
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Recognizing Themes in Amazon Reviews Through Unsupervised Multi-Document Summarization
A Simple but Tough-To-Beat Baseline For
Arxiv:1902.10740V1 [Cs.CV] 27 Feb 2019
Enhancing Sentence Embedding with Generalized Pooling
Unsupervised Sentence Embedding Using Document Structure-Based Context
Assessing Composition in Sentence Vector Representations
Learning to Embed Sentences Using Attentive Recursive Trees
A Supervised Method for Extractive Single Document Summarization
Exploiting Sentence Embedding for Medical Question Answering
Comparison of Word Embeddings and Sentence Encodings As Generalized Representations for Crisis Tweet Classification Tasks
Parameter-Free Sentence Embedding Via Orthogonal Basis
Learning Structured Representation for Text Classification Via
Msc. Thesis Semantic Text Similarity Using Autoencoders
Neural Sentence Embedding Using Only In-Domain Sentences for Out-Of-Domain Sentence Detection in Dialog Systems
On the Sentence Embeddings from Pre-Trained Language Models
Deep Sentence Embedding Using Long Short-Term Memory Networks
Survey of Simple Neural Networks in Semantic Textual Similarity Analysis Derek S
UCLA Electronic Theses and Dissertations