https://github.com/komeijiforce/cotam
공식 코드Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kongds/prompt-bert
공식 코드https://github.com/kongds/scaling_sentemb
공식 코드https://github.com/kornwtp/mixsp
공식 코드https://github.com/koudounasalkis/AI4Voice
공식 코드https://github.com/koudounasalkis/mvp
공식 코드https://github.com/kovvalsky/LangPro
공식 코드Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference
https://github.com/kovvalsky/prove_sick_nl
공식 코드A Logic-Based Framework for Natural Language Inference in Dutch
https://github.com/kpkqwq/lspg
공식 코드Multilingual Lexical Simplification via Paraphrase Generation
https://github.com/kracr/cross-doc-relation-extraction
공식 코드https://github.com/kracr/document-level-relation-extraction
공식 코드Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
https://github.com/kracr/reonto-relation-extraction
공식 코드ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction
https://github.com/krishgoel/chronocept-baseline-models
공식 코드https://github.com/ksirts/EWTB_sentence_seg
공식 코드Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts
https://github.com/kssteven418/ltp
공식 코드https://github.com/ku-dmlab/vpo
공식 코드VPO: Leveraging the Number of Votes in Preference Optimization
https://github.com/ku-nlp/visa
공식 코드VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation
https://github.com/kuanghuei/SCAN
공식 코드https://github.com/kukrishna/usb
공식 코드USB: A Unified Summarization Benchmark Across Tasks and Domains
https://github.com/kulkarniadithya/cptam
공식 코드https://github.com/kuntalkumarpal/FlowGraph
공식 코드Constructing Flow Graphs from Procedural Cybersecurity Texts
https://github.com/kuriyan1204/sentence-encoder-word-weighting
공식 코드Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words
https://github.com/kushalchauhan98/ticket-segmentation
공식 코드https://github.com/kwang2049/pytorch-bertflow
공식 코드https://github.com/kwang2049/useb
공식 코드https://github.com/kwanwaichung/coad
공식 코드CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
https://github.com/kyunghyuncho/WordVectorManifold
공식 코드Context-Dependent Word Representation for Neural Machine Translation
https://github.com/kyunghyuncho/strawman
공식 코드Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis
https://github.com/l-zhe/btmpg
공식 코드Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
https://github.com/l-zhe/corpg
공식 코드Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
https://github.com/l294265421/AC-MIMLLN
공식 코드Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
https://github.com/l294265421/ASOTE
공식 코드A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task
https://github.com/l294265421/GTS-ASOTE
공식 코드A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task
https://github.com/l294265421/OTE-MTL-ASOTE
공식 코드A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task
https://github.com/l294265421/SCAN
공식 코드Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
https://github.com/l294265421/SIGIR22-TOWE
공식 코드Training Entire-Space Models for Target-oriented Opinion Words Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.