https://github.com/ketranm/fan_vs_rnn
공식 코드The Importance of Being Recurrent for Modeling Hierarchical Structure
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kevinkrahn/ancient-greek-datasets
공식 코드Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
https://github.com/keyonvafa/sequential-rationales
공식 코드https://github.com/khanhptnk/bandit-nmt
공식 코드Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
https://github.com/kid-liet/reg-gan
공식 코드https://github.com/kinit-sk/gest
공식 코드https://github.com/kit-hua/ETFA2019
공식 코드Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation
https://github.com/klarh/flowws-keras-geometry
공식 코드https://github.com/kmccurdy/w2v-gender
공식 코드Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings
https://github.com/kocmitom/mt-thresholds
공식 코드Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies
https://github.com/koeldc/towards-debiasing-translation-artifacts
공식 코드https://github.com/kpkqwq/lspg
공식 코드Multilingual Lexical Simplification via Paraphrase Generation
https://github.com/krisaesoey/atomictranslation
공식 코드Rule Learning as Machine Translation using the Atomic Knowledge Bank
https://github.com/kritisingh24/active_learning_nmt
공식 코드https://github.com/krystalan/RAGtrans
공식 코드Retrieval-Augmented Machine Translation with Unstructured Knowledge
https://github.com/krystalan/drt
공식 코드https://github.com/krystalan/drt-o1
공식 코드DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought
https://github.com/kshitij98/vita
공식 코드https://github.com/kt2k01/petci
공식 코드PETCI: A Parallel English Translation Dataset of Chinese Idioms
https://github.com/ku-nlp/speechbsd
공식 코드Towards Speech Dialogue Translation Mediating Speakers of Different Languages
https://github.com/ku-nlp/video-helpful-mmt
공식 코드https://github.com/ku-nlp/visa
공식 코드VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation
https://github.com/kunalchelani/Line2Point
공식 코드How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
https://github.com/kurdishblark/kurdishnamedentities
공식 코드A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
https://github.com/kvmduc/bdbm
공식 코드https://github.com/kyunghyuncho/WordVectorManifold
공식 코드Context-Dependent Word Representation for Neural Machine Translation
https://github.com/kyutai-labs/hibiki
공식 코드https://github.com/kzh23/replication-package-icse-nier-2023-unsupervised-ml
공식 코드https://github.com/l-zhe/btmpg
공식 코드Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
https://github.com/l-zhe/vipg
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering
https://github.com/laeubli/parity
공식 코드Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
https://github.com/laihuiyuan/generic-resources-for-tst
공식 코드https://github.com/lama-west/sparql_query_generation_aacl-ijcnl2022
공식 코드A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation
https://github.com/lancopku/AdaNorm
공식 코드https://github.com/lancopku/DeconvDec
공식 코드Deconvolution-Based Global Decoding for Neural Machine Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.