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- Abstractive Summarization of Spoken and Written Instructions with BERT
- A Survey on Automatic Text Summarization
- Leveraging BERT for Extractive Text Summarization on Lectures Derek Miller Georgia Institute of Technology Atlanta, Georgia [email protected]
- Improving Summarization of Biomedical Documents Using Word Sense Disambiguation
- Using Semantic Folding with Textrank for Automatic Summarization
- Automatic Text Summarization Using Lexical Clustering
- Improving Text Summarization Using Fuzzy Logic & Latent Semantic
- What Is ROUGE and How It Works for Evaluation of Summarization Tasks?
- Automatic Summarization by Ani Nenkova and Kathleen Mckeown Contents
- Using Semantic Graphs and Word Sense Disambiguation Techniques to Improve Text Summarization
- Automatic Multiple Document Text Summarization Using Wordnet and Agility Tool
- CS276B Text Mining Summarization What Is A
- Studying the Correlation Between Different Word Sense
- Automatic Summarization
- Using Supervised Bigram-Based ILP for Extractive Summarization
- Longsumm 2021: Session Based Automatic Summarization Model for Scientific Document
- Text Summarization Using Natural Language Processing and Google Text to Speech Api
- Automatic Text Summarization with Lexical Clustering
- Diverse Decoding for Abstractive Document Summarization
- Automated Text Summarization Base on Lexicales Chain and Graph Using of Wordnet and Wikipedia Knowledge Base
- Automatic Summarization of Customer Reviews: an Integrated Approach Wingyan Chung [email protected]
- This Is Your Turnitin Digital Receipt
- TR-LDA: a Cascaded Key-Bigram Extractor for Microblog Summarization
- Summarization System Evaluation Revisited: N-Gram Graphs
- A Semantic Approach to Summarization Divyanshu Bhartiya (10250) 1, Ashudeep Singh (10162) 2 Department of Computer Science and Engineering, IIT Kanpur
- Topic-Based Multi-Document Summarization with Probabilistic Latent Semantic Analysis
- The Framenet Data and Software
- Exploring Sentence Vector Spaces Through Automatic Summarization
- An Automatic Document Summarization System Using a Fusion Method
- Single-Document Summarization Using Latent Semantic Analysis
- Automatic Summarization Full Text Available At
- Abstractive Multi-Document Summarization with Semantic Infor- Mation Extraction
- Distributional Semantics for Robust Automatic Summarization
- Framenet Meets the Semantic Web: Lexical Semantics for the Web
- Automatic Summarization of News Using Wordnet Concept Graphs
- Extractive Summarization Using Sentence Embeddings
- Automatic Speech Summarisation: a Scoping Review Dana Rezazadegan1,2,*, Shlomo Berkovsky2, Juan C
- Extractive Text Summarization of Greek News Articles Based on Sentence-Clusters
- Automatic Summarization of Natural Language Literature Review and Synthesis Marc Everett Johnson1 Minneapolis, Minnesota, USA [email protected]
- Automatic Summarization of Corporate Disclosures
- Distributional Semantic Models for Clinical Text Applied to Health Record Summarization Doctoral Thesis Doctoral
- Word Sense Disambiguation Using Hybrid Swarm Intelligence Approach
- NLP Based Text Summarization Using Semantic Analysis Hamza Shabbir Moiyadi 1, Harsh Desai 2, Dhairya Pawar 3, Geet Agrawal 4, Nilesh M.Patil 5
- Summarization System Evaluation Variations Based on N-Gram Graphs
- Text Summarization Using Framenet-Based Semantic Graph Model
- Building High‐Quality Datasets for Abstractive Text Summarization – a Filtering‐Based Method Applied on Swedish News Articles
- A Survey of Automatic Text Summarization Using Lexical Chains
- A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning
- Wordnet-Based Document Summarization
- The Elements of Automatic Summarization
- Abstractive Summarization of Spoken and Written Instructions with BERT
- LSA Based Text Summarization
- Linguistic Challenges in Automatic Summarization Technology
- Automatic Vector Space Based Document Summarization Using Bigrams
- Optimizing Accuracy of Document Summarization Using Rule Mining
- A Study of Semantic Augmentation of Word Embeddings for Extractive Summarization
- Better Summarization Evaluation with Word Embeddings for ROUGE
- Text Summarization Using Natural Language Processing
- Frame Semantics Guided Network for Abstractive Sentence Summarization
- Extractive Summarization with Very Deep Pretrained Language Model
- Abstractive News Summarization Based on Event Semantic Link Network
- Automating News Summarization with Sentence Vectors Offset
- Redalyc.Using Semantic Graphs and Word Sense Disambiguation
- Lexical Chaining and Word- Sense-Disambiguation
- A Framework for Automatic Evaluation of Knowledge- Driven Automatic Summarization
- Automatic Evaluation of Summaries Using N-Gram Co-Occurrence Statistics
- On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
- Automatic Microblog Summarization Based on Unsupervised Key-Bigram Extraction
- Automatic Evaluation of Summaries Using N-Gram Co-Occurrence Statistics
- Framenet Meets the Semantic Web: a DAML+OIL Frame Representation
- An Evolutionary Algorithm for Automatic Summarization
- Using Latent Semantic Analysis in Text Summarization and Summary Evaluation
- Automatic Documents Summarization Using Ontology Based Methodologies
- A Reinforced Topic-Aware Convolutional Sequence-To-Sequence Model for Abstractive Text Summarization
- A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization