Papers with Code 아카이브
Semantic Textual Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.
Image source: Learning Semantic Textual Similarity from Conversations
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nellish123/contrib
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
https://github.com/nerdimite/bert-finetuning-webinar
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/neuralmind-ai/coliee
https://github.com/nghuyong/ERNIE-Pytorch
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/nguyenvulebinh/vietnamese-roberta
https://github.com/nicholasbao/nlp_job
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nickyeolk/info_retrieve
https://github.com/nicolashernandez/readi-lrec22
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nihitsaxena95/sentence-similarity-wordnet-sementic
https://github.com/nmfisher/bert-modified
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/noelkelias/multitok
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/noise-learning/selfmix
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/nosaydomore/MobileBert_paddle
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
https://github.com/nyk510/scdv-python
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
https://github.com/obi-ml-public/ehr_deidentification
https://github.com/octanove/grammartagger
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/octanove/shiba
https://github.com/okanvk/ENELPI---Soru-Cevap-Sistemi
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/om00839/machine-suneung
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/oneflow-inc/libai
https://github.com/ongunuzaymacar/comparatively-finetuning-bert
https://github.com/osmanio2/multi-domain-belief-tracking
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
https://github.com/osu-nlp-group/mind2web
https://github.com/oto-labs/librarian
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/overfitter/biobert_embedding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/owainwest/uniprot_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/p208p2002/Sentence-BERT-mean-operation
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/paolanu/BERT_epitope
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pathway/crosslang_embed
https://github.com/pauldevos/python-notes
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/peglegpete/mixmood
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
https://github.com/pengming617/bert_classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/pengshuyuan/Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/perceptiveshawty/RankCSE
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.