Sentence
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ltgoslo/definition_modeling
공식 코드https://github.com/ltgoslo/slide
공식 코드https://github.com/ltguo19/VSUA-Captioning
공식 코드Aligning Linguistic Words and Visual Semantic Units for Image Captioning
https://github.com/lttsmn/LXMERT-S
공식 코드Multi-stage Pre-training over Simplified Multimodal Pre-training Models
https://github.com/lucadiliello/transformers-framework
공식 코드https://github.com/lucasgris/wav2vec4bp
공식 코드https://github.com/lucasmllr/xsbert
공식 코드https://github.com/lucienwang1009/lifted_sampling_ufo2
공식 코드On Exact Sampling in the Two-Variable Fragment of First-Order Logic
https://github.com/lucyyyw/ambicoref
공식 코드AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
https://github.com/lujunru/eventqaviapr
공식 코드Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering
https://github.com/lujunru/napss
공식 코드https://github.com/luka-group/CoIN
공식 코드https://github.com/luka-group/diagnoseet
공식 코드https://github.com/luka-group/dpoe
공식 코드From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
https://github.com/luka-group/sure
공식 코드Summarization as Indirect Supervision for Relation Extraction
https://github.com/lukasberglund/reversal_curse
공식 코드The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
https://github.com/lukecq1231/generalized-pooling
공식 코드https://github.com/lululuyi/longheads
공식 코드LongHeads: Multi-Head Attention is Secretly a Long Context Processor
https://github.com/lumia-group/leveraging-self-supervised-learning-for-avsr
공식 코드Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
https://github.com/luohongyin/esp
공식 코드Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
https://github.com/luosx18/biomedical-sentence-aligner
공식 코드Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
https://github.com/luoxiaoheics/cobe
공식 코드Mere Contrastive Learning for Cross-Domain Sentiment Analysis
https://github.com/luxinyu1/trans-ss
공식 코드An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
https://github.com/lvapeab/nmt-keras
공식 코드NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning
https://github.com/lvyiwei1/StylePTB
공식 코드StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
https://github.com/lwang114/unsuptts
공식 코드Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition
https://github.com/lx865712528/JMEE
공식 코드Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
https://github.com/lxasqjc/mcpl
공식 코드https://github.com/lxmeng/mms_answer_selection
공식 코드https://github.com/lxucs/multilingual-mrc-isdg
공식 코드Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
https://github.com/lydianish/rolaser
공식 코드https://github.com/lylylylylyly/simplefsre
공식 코드A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
https://github.com/lzhengchun/tomotx
공식 코드https://github.com/lzrobots/DeepEmbeddingModel_ZSL
공식 코드https://github.com/m-almagro-cadiz/lea
공식 코드LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.