https://github.com/morphology-probing/morph-call
공식 코드Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Part of Speech Tagging
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
BNLP: Natural language processing toolkit for Bengali language
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
Classification of US Supreme Court Cases using BERT-Based Techniques
Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical Category Identification Step
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization
Learning Mutually Informed Representations for Characters and Subwords
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.