Adapter-based Query-focused Abstractive Summarization
Adapter-based Abstractive Summarization
Approximate Discourse Graph
Attentive Encoder-based Summarization
Automatic Impression Generation
Active Learning
Amazon Multidocument Opinion Summarization
Augmented Multi-party Interaction
Abstract Meaning Representation
Analysis of Variance
Answer Selection and Abstractive Summarization
Across Sentence Boundary LSTM
Abstractive Summarization with Graph-Augmentation and semantic-driven RewarD
Attribute-aware Sequence Network
Aspect-aware memory
Automatic Speech Recognition
After-visit summary note, EHR
Bidirectional and Auto-Regressive Transformer
Bidirectional Encoder Representations from Transformers
BERT Sequence-to-Sequence
BERT-based Summary
BERT-based Score
Bidirectional Encoder Representations from Transformers for Summarization
Bidirectional Inference for Multi-Document Opinion Summarization with Variational Autoencoders
Bacronymic Language model Approach for summary quality estimatioN
Bilingual Evaluation Understudy
Bag-of-Words
Bandit Learning based Neural Summarization
BERT-based extractive summarization model
BERT-based Extractive-Abstractive summarization model
Bidirectional Gated Recurrent Unit
Bidirectional Long Short-Term Memory
Bi-directional Selective Encoding with Template.
Cross-domain Aspect/Sentiment-aware Abstractive review Summarization
Category-based Alignment and Sparse Transformer
Concerns About Vaccines with Explanations and Summaries.
Citation-Graph based Summarization
Consumer Health Questions
Confidence Interval
Contrastive Learning
Computational Linguistics Scientific Document Summarization
Conditional Language Model
Coherence Measures
Convolutional Neural Network
Convolutional Neural Network Language Model
Comparative Opinion Summarization framework
Contrastive Learning based re-ranking framework for one-stage summarization
Cross-lingual Optimized Metric for Evaluation of Summarization
Cross-lingual Optimized Metric for Evaluation of Translation
Convex Combination Optimization for Opinion Summarization
Copy and Generate Abstractive Summarization
Cross Product Diversity of summaries
Community Question Answering
Community Question Answering Summarization
Compression-Reconstruction
Collaborative Decoding algorithm
Counterfactual Consistency
Correlational Copying Network
Contextualized Vector
Conversation Summarization
Copy-augmented Transformer
Dependency Arc Entailment
Domain-Adaptive Pre-Training
Denoising-based Abstractive Summarization
Dependency Labeling
Dependency-based Entailment
Discourse-Aware BERT for Text Summarization
Dynamic Key-Value Memory-Augmented Attention
Determinantal Point Processes
Deep Q-Network
Deep Recurrent Generative Decoder
Document-Related Modulation
Distributed Semantic Reward
Diverse Convolutional Seq2Seq Model
End-to-End
Extract-Abstract
Edit-based Automatic Language Model
Entity Control Code
Extractive Document Summarization
Elementary Discourse Unit
Electronic Health Record
English as a second language
Embeddings from Language Models
Entity Linking System
Expectation Maximization
Entity SUMmarization
Enhanced Representation through kNowledge IntEgration
Entity-Relation Pointer Generator Network
Extractive Summarization
Explainable Selection module to Control the generation of Abstractive summaries
English as a Second or Other Language
Estimator of Summary-to-Text Inconsistency by Mismatched Embeddings
Extended Transformer model for Abstractive Document Summarization
Editorial Network
reward for logical entailment
Facet-Aware Mappings
Fact-Aware Summarization model
Fact-Aware Summarization
Factual Corrector
Fixed Length Text Summarization
Frechét Question Distance
Focused and Relevant Annotation of Keyphrases
Freeze entity-level information in abstractive summarization with planning
Fact Checking with Confidence Estimation
Fast Abstractive RL
Generative Adversarial Network
Graph Convolutional Network
Graph Contrastive Topic Model
Guidance Induction and Summary Generation
General Language Understanding Evaluation
Gaussian Mixture Model
Graph Neural Network
Grounding Output with Factuality Inference and Evaluation Resources
Generative Pretrained Transformer
Generative Pretrained Transformer 2
Generative Pretrained Transformer 3
Generative Pre-trained Transformer 2
Generative Pre-trained Transformer 3
Gated Recurrent Unit
Global Vectors for Word Representation
Hierarchical Attention Networks
Health Level 7 (HL7) Annotation and Retrieval Toolkit for Extraction, Summarization, and Translation
Hybrid learning model for Abstractive Text Summarization
Head-wise positional strides
Human-bEing-Reading inspired extractive summarization
Hallucinated Entity Recognition and Modification for Abstractive News Summarization
Hierarchical Heterogeneous Graph
Hierarchical BERT
Hierarchical Biases foR Incorporating Document Structure
Human-in-the-loop
Health Level 7
Hierarchical Multi-Scale Abstraction Modeling
Hybrid Evaluation Measure for Summarization
Hierarchical and Sequential Context Modeling
Heterogeneous Graph-based Neural Network
Hierarchical Transformer Encoder
Hallucination Risk Measurement
Heterogeneous Graph Neural Network
Hierarchical structure information
Hotpot Question Answering
Information Bottleneck
Image Caption Generation
Information Extraction
Integer Linear Programming
Summary of critical findings
Implicit Quote Extractor
Information Retrieval
Information Theory
Iterative Text Summarization
Idea Unit
Jaccard Similarity-2
Jensen-Shannon Divergence
Knowledge Base
Learning-to-Rank
Length-Aware Attention Mechanism
Length-Balanced Dataset
Longest Common Subsequence
Likert scale
Language Model
Length-based Prototype Attention Summarization
Learned Scorer Score
Long Short-Term Memory
Top-3 sentences as Summary
Leave k out
Transformer-based model for long documents
Multi-factor attention fusion network for aspect/sentiment-aware Abstractive Review Summarization
Summary-level framework for extractive summarization
Medical Information Extraction
Masked Document Generation
Minimum Description Length
Markov Decision Process
Multi-document Summarization
Mean Summarization
Medical Question Summarization
Metric for Evaluation of Translation with Explicit ORdering
Masked-and-Fill with Masked Article
Mixed Integer Programming
Masked Language Model
Multi-Layer Perceptron
MultiLingual SUMmarization
Maximum Mean Discrepancy with emphasis on classification accuracy
Maximum Mean Discrepancy with emphasis on summary diversity
Multi-Level Memory Networks
Maximum-Marginal Relevance
Minimum Risk Training
Microsoft Common Objects in Context
Multi-hop Selective Generator
Machine Translation
Marian Neural Machine Translation
Mover Distance Score
Named Entity Labeling
Named Entity Recognition
Neural Extractive document Summarization
Neural headline generation
Natural Language Generation
Natural Language Inference
Negative Log-Likelihood
Natural Language Processing
Natural Language Understanding
Neural Network Language Model
Non-deterministic Polynomial-time hard
Next Sentence Generation
Neural Topic Model
Nested Tree-based Extractive Summarization Model on RoBERTa
Online Analytical Processing
Out-of-Vocabulary
Opinion mining
Optimal Transport
Open Information Extraction
Opinion Summarization with Hierarchical Transformers
Open Parallel Corpus-Machine Translation
Predicate-argument structure
Pre-training via Adversarial Semantic Similarity
Programming-by-example
Pseudo-cross-lingual Summarization
Pre-training with Extracted Gap-sentences for Abstractive SUmmarization
Poisson Factorization
Pointer-Generator Network
Pseudo-labeling with Larger Attention TEmperature
Pretrained Language Model
Pointwise Mutual Information
Part-of-speech tagging
Proximal Policy Optimization
Personalized PageRank
Precision Recall Question Distance
Pre-training with Extracted Gap-sentences for Abstractive Summarization
Points of Correspondence
Propagation-Fused Transformer Network
Question Answering
Question-Answering based Evaluation
Question-Answering for Generating Summaries
Query-biased Summarization
Quality Estimation
Question-focus Recognition Reward
Query-Focused Summarization
Question Generation
Question-Summary
Question Semantic Volume
Quantized Transformer
Question-type Identification Reward
Reading Comprehension
Reinforced Hard Typed Decoder
Reinforcement Learning
Reward Model
Relation Matching Rate
Reinforcement Learning based Neural Extractive Summarization
Recurrent Neural Networks
Recall-Oriented Understudy for Gisting Evaluation
Recall-Oriented Understudy for Gisting Evaluation F1
Recall-Oriented Understudy for Gisting Evaluation - Unigram
Graph-based ROUGE
Recall-Oriented Understudy for Gisting Evaluation - Longest Common Subsequence
Recall-Oriented Understudy for Gisting Evaluation-N Gram Overlap
saliency-based ROUGE reward
Rhetorical Structure Theory
Round-Trip Translation
Reading-for-Understanding
Recursive Adam Optimization Algorithm
A Robustly Optimized BERT Pretraining Approach
Self-Attention
Speed Accuracy Tradeoff
Sentence Classification with Context
A BERT-based model pretrained on scientific articles
Summary Content Unit
Semantic Distribution Correlation
Source Domain Pre-Training
Single-document Summarization
Simple Yet Effective Hybrid Model
Select and Summarize
System for ENtity-drivEn Coherent Abstractive summarization
Sequence-to-Sequence model
Semantic-Informed Attention
Semantic Overlap Summarization
Semantic Propositional Image Caption Evaluation
Set-Pairwise-ROUGE
Stanford Question Answering Dataset
Sentence Reordering
Semantic Role Labeling
Sequential Sentence Classification
Semantic Triplet Unit
Semantic Unit
SUBjective SUMmary Extraction dataset
Summarization by example interface
Summary Quality Estimation
Structured Attention for Extractive Summarization
Summarization Evaluation with Pseudo References and BERT
Support Vector Machine
Support Vector Regression
Situations With Adversarial Generations
Semantic-aware normalized cumulative gain
Semantic Autoencoder
Sequence-to-Sequence
Sequence-to-sequence
Siamese network structure with BERT embeddings
Summary evaluation by Negative sampling
Summarization Evaluation
Text-to-Text Transfer Transformer
Topic Assistant
Task-Adaptive Pre-Training
Task-based Dataset for Query-Focused Summarization
Topic Embedding with Masked Attention
Term Frequency-Inverse Document Frequency
Term Frequency-Inverse Document Frequency
Too Long; Didn't Read
Too Long; Didn't Read
Transformer Language Models
Tensor Product Representation
Transformer Reasoning Network for personalized review Summarization
Text Summarization
Unified Language Model
User-aware Sequence Network
Unified Language Model Pre-training for Natural Language Understanding and Generation
Variational Autoencoder
Variational Encoder Decoder
Variational Hierarchical Topic-Aware Mechanism
Vector-Quantized Variational Autoencoders
Variational Bayesian BART
Variational Bayesian PEGASUS
Crossentropy Loss
Bidirectional Across Sentence Boundary LSTM
End of Sequence
Normalized cumulative gain
sequence-to-sequence
sequence-to-sequence
Sequence-to-sequence
weakly supervised Latent Dirichlet Allocation