https://github.com/epfl-dlab/Cr5
공식 코드Crosslingual Document Embedding as Reduced-Rank Ridge Regression
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/epfl-dlab/laughing-head
공식 코드Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
https://github.com/epfl-dlab/unfun
공식 코드https://github.com/epfl-ml4ed/unraveling-llm-bias
공식 코드https://github.com/epfml/Bi-Sent2Vec
공식 코드https://github.com/epfml/correlating-tweets
공식 코드Correlating Twitter Language with Community-Level Health Outcomes
https://github.com/epfml/sent2vec
공식 코드Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
https://github.com/epochx/emoatt
공식 코드EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
https://github.com/eqtpartners/pause
공식 코드https://github.com/eques-inc/pharma-llm-eval
공식 코드A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP
https://github.com/eranhirs/sentence_union_generation
공식 코드Revisiting Sentence Union Generation as a Testbed for Text Consolidation
https://github.com/erfan-ghadery/Unsupervised-Aspect-Category-Detection
공식 코드An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
https://github.com/ericashimomoto/parameter-efficient-tvg
공식 코드Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
https://github.com/erxinyu/disbert
공식 코드Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
https://github.com/eumesy/wrd
공식 코드https://github.com/eunseongc/mgfid
공식 코드https://github.com/euranova/CASS-dataset
공식 코드STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
https://github.com/eval4nlp/sharedtask2021
공식 코드The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results
https://github.com/evandez/remedi
공식 코드Inspecting and Editing Knowledge Representations in Language Models
https://github.com/event-ahu/openpar
공식 코드https://github.com/event-ahu/vtf_par
공식 코드Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition
https://github.com/evidence-surveillance/sent2span
공식 코드Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
https://github.com/expertailab/space-ideas
공식 코드SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
https://github.com/exploration-lab/isltranslate
공식 코드https://github.com/eyalbd2/Semantically-Driven-Sentence-Fusion
공식 코드Semantically Driven Sentence Fusion: Modeling and Evaluation
https://github.com/fabrahman/rebart
공식 코드https://github.com/facebookresearch/ActivityNet-Entities
공식 코드https://github.com/facebookresearch/DME
공식 코드Dynamic Meta-Embeddings for Improved Sentence Representations
https://github.com/facebookresearch/DisCo
공식 코드Non-Autoregressive Machine Translation with Disentangled Context Transformer
https://github.com/facebookresearch/ELI5
공식 코드https://github.com/facebookresearch/InferSent
공식 코드Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/facebookresearch/LASER
공식 코드Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/facebookresearch/MLDoc
공식 코드A Corpus for Multilingual Document Classification in Eight Languages
https://github.com/facebookresearch/ResponsibleNLP/tree/main/holistic_bias
공식 코드"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
https://github.com/facebookresearch/SentEval
공식 코드Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/facebookresearch/TreeNLG
공식 코드Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.