https://github.com/jvdbogae/artverc
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Simple and Effective Paraphrastic Similarity from Parallel Translations
A Bilingual Generative Transformer for Semantic Sentence Embedding
Simple and Effective Paraphrastic Similarity from Parallel Translations
An Analysis of Simple Data Augmentation for Named Entity Recognition
word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Multilingual Distributed Representations without Word Alignment
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
A large annotated corpus for learning natural language inference
Unsupervised Machine Translation Using Monolingual Corpora Only
Transforming Question Answering Datasets Into Natural Language Inference Datasets
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
The LAMBADA dataset: Word prediction requiring a broad discourse context
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.