Text Summarization
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Text Summarization is a natural language processing (NLP) task that involves condensing a lengthy text document into a shorter, more compact version while still retaining the most important information and meaning. The goal is to produce a summary that accurately represents the content of the original text in a concise form.
There are different approaches to text summarization, including extractive methods that identify and extract important sentences or phrases from the text, and abstractive methods that generate new text based on the content of the original text.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pranavajitnair/dapa
공식 코드Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization
https://github.com/priberam/cera-summ
공식 코드Supervising the Centroid Baseline for Extractive Multi-Document Summarization
https://github.com/priberam/s2tsumm
공식 코드https://github.com/priberam/summebr
공식 코드Improving abstractive summarization with energy-based re-ranking
https://github.com/psunlpgroup/fairsumm
공식 코드https://github.com/psunlpgroup/summ-n
공식 코드Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
https://github.com/pygongnlp/pt-m2
공식 코드Revisiting Grammatical Error Correction Evaluation and Beyond
https://github.com/pytorch/fairseq
공식 코드Classical Structured Prediction Losses for Sequence to Sequence Learning
https://github.com/pytorch/fairseq/tree/master/examples/rxf
공식 코드https://github.com/qiujihao19/artemis
공식 코드Artemis: Towards Referential Understanding in Complex Videos
https://github.com/qqplot/dcpmi
공식 코드Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
https://github.com/question406/learningtofocus
공식 코드Controlling the Focus of Pretrained Language Generation Models
https://github.com/ra-ysa/gender_law_nlp
공식 코드Gender Bias Detection in Court Decisions: A Brazilian Case Study
https://github.com/rajdeep345/ControllableSumm
공식 코드Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews
https://github.com/ramakanth-pasunuru/QmdsCnnIr
공식 코드Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
https://github.com/raphael-sch/HC_Sentence_Summarization
공식 코드Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
https://github.com/ratishsp/centrum
공식 코드Multi-Document Summarization with Centroid-Based Pretraining
https://github.com/recitalAI/summa-qa
공식 코드Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
https://github.com/recitalai/loralay-datasets
공식 코드LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
https://github.com/recitalai/loralay-modeling
공식 코드LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
https://github.com/rktamplayo/DenoiseSum
공식 코드Unsupervised Opinion Summarization with Noising and Denoising
https://github.com/rktamplayo/Entity2Topic
공식 코드Entity Commonsense Representation for Neural Abstractive Summarization
https://github.com/rktamplayo/PlanSum
공식 코드https://github.com/rktamplayo/acesum
공식 코드https://github.com/rlsnlp/sum4simp
공식 코드https://github.com/robustness-gym/summvis
공식 코드SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
https://github.com/ruathudo/tfw2v
공식 코드TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
https://github.com/rucaibox/div-ref
공식 코드Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
https://github.com/rucaibox/para-ref
공식 코드Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
https://github.com/ryanzhumich/AESLC
공식 코드This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
https://github.com/ryokamoi/qa-metrics-human-annotation
공식 코드Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
https://github.com/saiprabhakar/summarization_dpo_salt
공식 코드https://github.com/saketdingliwal/Abstractive-Dialogue-Summarization
공식 코드https://github.com/salesforce/booksum
공식 코드BookSum: A Collection of Datasets for Long-form Narrative Summarization
https://github.com/salesforce/compedit
공식 코드Improving Factual Consistency in Summarization with Compression-Based Post-Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.