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Sentence Embedding

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Showing 301–350 of 407 papers

TitleStatusHype
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction—0
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards—0
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
Detection of Reading Absorption in User-Generated Book Reviews: Resources Creation and Evaluation—0
Dialectal and Low-Resource Machine Translation for Aromanian—0
Disney at IEST 2018: Predicting Emotions using an Ensemble—0
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings—0
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation—0
DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings—0
drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM—0
Dual-View Distilled BERT for Sentence Embedding—0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding—0
Efficient comparison of sentence embeddings—0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogues—0
Iterative Hierarchical Attention for Answering Complex Questions over Long Documents—0
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment—0
Evaluating Gender Bias Transfer from Film Data—0
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
Learning to Assemble Neural Module Tree Networks for Visual Grounding—0
Exploiting Sentence Embedding for Medical Question Answering—0
Exploring Semantic Properties of Sentence Embeddings—0
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding—0
MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis—0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
Factor Decomposed Generative Adversarial Networks for Text-to-Image Synthesis—0
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking—0
Filtering and Mining Parallel Data in a Joint Multilingual Space—0
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection—0
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection—0
Get the Point! Graph Enhanced Candidate Retrieval for Zero-shot Entity Linking—0
GUSUM: Graph-Based Unsupervised Summarization using Sentence-BERT and Sentence Features—0
Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data—0
Hierarchical Classification of Transversal Skills in Job Ads Based on Sentence Embeddings—0
Hierarchical Document Encoder for Parallel Corpus Mining—0
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models—0
Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection—0
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection—0
Holistic Sentence Embeddings for Better Out-of-Distribution Detection—0
Improving Machine Translation Quality Estimation with Neural Network Features—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models—0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision—0
In Search for Linear Relations in Sentence Embedding Spaces—0
Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection—0
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