https://github.com/a-chicharito-s/opinsummeval
공식 코드OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization
Papers with Code 아카이브
Opinion Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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The task of generating a summary of user opinions from reviews (and question-answers, etc)
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/abrazinskas/FewSum
공식 코드https://github.com/abrazinskas/selsum
공식 코드Learning Opinion Summarizers by Selecting Informative Reviews
https://github.com/abrazinskas/sigir2022-opinion-summarization-tutorial
공식 코드Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
https://github.com/amazon-research/adasum
공식 코드https://github.com/brcsomnath/coversumm
공식 코드Incremental Extractive Opinion Summarization Using Cover Trees
https://github.com/brcsomnath/semae
공식 코드Unsupervised Extractive Opinion Summarization Using Sparse Coding
https://github.com/engsalem/reflectsumm
공식 코드ReflectSumm: A Benchmark for Course Reflection Summarization
https://github.com/ibm/kpa-hierarchy
공식 코드From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
https://github.com/ixlan/CopyCat-abstractive-opinion-summarizer
공식 코드Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/leehaoyuan/ration
공식 코드https://github.com/mankeerat/orsum-meta-review-generation
공식 코드Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
https://github.com/megagonlabs/cocosum
공식 코드Comparative Opinion Summarization via Collaborative Decoding
https://github.com/megagonlabs/coop
공식 코드https://github.com/megagonlabs/napa
공식 코드Noisy Pairing and Partial Supervision for Stylized Opinion Summarization
https://github.com/megagonlabs/opiniondigest
공식 코드https://github.com/misonuma/recursum
공식 코드https://github.com/nc-ai/MultimodalSum
공식 코드https://github.com/rajdeep345/ControllableSumm
공식 코드Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews
https://github.com/rktamplayo/DenoiseSum
공식 코드Unsupervised Opinion Summarization with Noising and Denoising
https://github.com/rktamplayo/PlanSum
공식 코드https://github.com/rktamplayo/acesum
공식 코드https://github.com/salomeeeee/subsumm
공식 코드Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
https://github.com/stangelid/oposum
공식 코드https://github.com/stangelid/qt
공식 코드Extractive Opinion Summarization in Quantized Transformer Spaces
https://github.com/swaroop-nath/reward-approx-social-choice-opp-summ
공식 코드https://github.com/testzer0/zs-summ-gpt3
공식 코드https://github.com/tjsiledar/summeval-op
공식 코드One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
https://github.com/tomhosking/hercules
공식 코드https://github.com/tomhosking/hiro
공식 코드Hierarchical Indexing for Retrieval-Augmented Opinion Summarization
https://github.com/yuanyuanlei-nlp/polarity_calibration_naacl_2024
공식 코드https://github.com/zhaochaocs/AspMem
공식 코드Weakly-Supervised Opinion Summarization by Leveraging External Information
https://github.com/abrazinskas/Copycat-abstractive-opinion-summarizer
Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/maria-liakata-nlp-group/wassos
Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/tpfeifle/MILNET_tensorflow
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.