https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Semantic Textual Similarity
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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/soutsios/pos-tagger-bert-tensorflow
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/souvikshanku/translit-former
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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/stefan-it/europeana-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/stefan-it/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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/suinleelab/path_explain
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/sulcantonin/text_icalepcs23
https://github.com/sunsiqi26/Entailment-with-TensorFlow
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
https://github.com/sunyilgdx/prompts4keras
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/surancy/nlp-classification-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/svakulenk0/response_eval
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sydney-machine-learning/sentimentanalysis-uselections
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tchebonenko/Automated-Topic_Modeling-and-NER
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/tcnguyen/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tdd-ai/data-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/teghub/TurkishNER-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/official/nlp
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tensorflow/models/tree/master/official/nlp/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/tensorflow/models/tree/master/official/nlp/projects/bigbird
https://github.com/textflint/textflint
https://github.com/thanhlong1997/bert_quora
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/the-Quert/iNLPfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/theQuert/inlpfun
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thecodemasterk/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thecodemasterk/Text-to-Text-transfer-transformers
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/thefonseca/factorsum
https://github.com/theneuralbeing/bert-finetuning-webinar
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/theoremone/llm-benchmarker-suite
https://github.com/thethirdwheel/malumagraph
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thisisclement/STS-Benchmark-SentEval
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/thu-keg/omnievent
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/thudm/swissarmytransformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.