https://github.com/raotnameh/AML_Course/tree/main/project
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Papers with Code 아카이브
Semantic Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 28
- 보존된 평가 기록
- 21
The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.
Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/reoneo97/wutr-buildon-2021
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/rmslick/SummarySearch
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/rohitguptacs/ReVal
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/rosinality/semantic-pyramid-pytorch
https://github.com/ruc-aimc-lab/nt2vr
A Joint Sequence Fusion Model for Video Question Answering and Retrieval
https://github.com/rvoleti89/icaasp-2019-word-subs
Investigating the Effects of Word Substitution Errors on Sentence Embeddings
https://github.com/ryankiros/skip-thoughts
https://github.com/s-nlp/russe_detox_2022
https://github.com/sai4july/custext
https://github.com/saulhazelius/transformer-clustering
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/setu4993/convert-labse-tf-pt
https://github.com/sgoldyaev/DeepFashion.ADGAN
Ranking and Classification driven Feature Learning for Person Re_identification
https://github.com/shanzhenren/AFET
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
https://github.com/shepnerd/AttenNorm
https://github.com/sjtu-lit/syncse
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/skojaku/Practical-Guide-to-Sentence-Transformers
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/skoltech-nlp/russe_detox_2022
https://github.com/sleepthroughdifficulties/kernelwhitening
https://github.com/soskek/bookcorpus
https://github.com/soskek/homemade_bookcorpus
https://github.com/statbio/autism4j
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
https://github.com/statbio/ddp2neo4j
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
https://github.com/stevenmsy/directsam-rs
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
https://github.com/styfeng/tinydialogues
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
https://github.com/tensorflow/fold
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/thisisclement/STS-Benchmark-SentEval
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/thomasyue/tf2-skip-thoughts
https://github.com/tiny-smart/sapa
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
https://github.com/tjddus9597/Beyond-Binary-Supervision-CVPR19
https://github.com/tomekkorbak/treehopper
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/ttpro1995/TreeLSTMSentiment
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/usc-isi-i2/kgtk-similarity
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
https://github.com/uzaymacar/comparatively-finetuning-bert
https://github.com/valdecy/pybibx
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/varun-suresh/experiments-with-gpt2/tree/main/language_models
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.