Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 6
- 보존된 평가 기록
- 42
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.
Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepset-ai/FARM
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/demelin/nematode
https://github.com/deping-1/2019-false-news-detection-challenge
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/derronxu/sparsebert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/derylucio/Transformer
https://github.com/deterministic-algorithms-lab/Large-XLM
https://github.com/devJWSong/bert-crf-entity-recognition-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dhansmair/flamingo-mini
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/dhiraa/tener
https://github.com/dhlee347/pytorchic-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/diabhaque/Sixth-Sense
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dialogue-evaluation/AGRR-2019
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
https://github.com/dispink/xpt
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dl-nlp/dl-nlp.github.io
https://github.com/dmis-lab/olaph
https://github.com/dmitriy-serdyuk/arxiv2kindle
https://github.com/dmlc/gluon-nlp
https://github.com/dqqcasia/st
https://github.com/dreamgonfly/BERT-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dreamgonfly/Transformer-pytorch
https://github.com/dreamnotover/english_chinese_machine_translation_baseline
https://github.com/drumpt/Transformer
https://github.com/dscripka/openwakeword
Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
https://github.com/dsindex/iclassifier
https://github.com/duyunshu/bert-sentiment-analysis
https://github.com/dyq0811/EEG-Transformer-seq2seq
https://github.com/dzqjorking/transpose
https://github.com/eagle705/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/eaishwa/quora-ques-pair-similarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/eify/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/eilon47/DL_Ass4
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
https://github.com/eleanorye00/Gamifier
https://github.com/elenalenaelena/machine-learning-viz
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/elijahcn/TextCNN-AdversarialTraining
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
https://github.com/emanuele-progr/PSSP
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.