https://github.com/DhavalTaunk08/XWikiGen
공식 코드XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Papers with Code 아카이브
Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 14
- 보존된 평가 기록
- 2
Summarization is the task of producing a shorter version of one or several documents that preserves most of the input's meaning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HLTCHKUST/QFS
공식 코드Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance
https://github.com/acohan/long-summarization
공식 코드A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
https://github.com/amazon-science/SumREN
공식 코드https://github.com/applicaai/pyramidions
공식 코드Sparsifying Transformer Models with Trainable Representation Pooling
https://github.com/aviclu/peekacross
공식 코드Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
https://github.com/buptwululu/fg-rag
공식 코드FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
https://github.com/cesare-spinoso/rsasumm-customnlp4u
공식 코드https://github.com/cs329yangzhong/documentstructurelegalsum
공식 코드https://github.com/dcdmllm/ideal_summary
공식 코드https://github.com/devichand579/HPT
공식 코드https://github.com/dwright37/unstructured-evidence-sunset
공식 코드Unstructured Evidence Attribution for Long Context Query Focused Summarization
https://github.com/ghomashudson/muld
공식 코드https://github.com/harlyndn/webcites
공식 코드WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations
https://github.com/hfthair/emerald_crawler
공식 코드Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
https://github.com/jarobyte91/quotes
공식 코드https://github.com/lauramanor/legal_summarization
공식 코드https://github.com/mswellhao/PacSum
공식 코드Sentence Centrality Revisited for Unsupervised Summarization
https://github.com/nlpyang/PreSumm
공식 코드TWEETSUMM -- A Dialog Summarization Dataset for Customer Service
https://github.com/oja/aosumm
공식 코드https://github.com/opensum/bigae
공식 코드https://github.com/ronaldahmed/redundancy-kvd
공식 코드On the Trade-off between Redundancy and Local Coherence in Summarization
https://github.com/salesforce/query-focused-sum
공식 코드https://github.com/seongminp/hyperseg
공식 코드Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
https://github.com/shichaosun/ss4sum
공식 코드Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
https://github.com/swaroop-nath/rl-qfs
공식 코드Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
https://github.com/tafseer-nayeem/BengaliSummarization
공식 코드Unsupervised Abstractive Summarization of Bengali Text Documents
https://github.com/tsosea2/covidet-ext
공식 코드https://github.com/vishakhpk/mi-unsup-summ
공식 코드Unsupervised Extractive Summarization using Pointwise Mutual Information
https://github.com/xssstory/STAS
공식 코드Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
https://github.com/yale-nlp/qtsumm
공식 코드https://github.com/yilunzhao/qtsumm
공식 코드https://github.com/yumoxu/marge
공식 코드Generating Query Focused Summaries from Query-Free Resources
https://github.com/zhichaoxu-shufe/constrained-qfs
공식 코드A Lightweight Constrained Generation Alternative for Query-focused Summarization
https://github.com/zhichaoxu-shufe/context-aware-decoding-qfs
공식 코드Context-aware Decoding Reduces Hallucination in Query-focused Summarization
https://github.com/AlexGidiotis/DANCER-summ
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.