https://github.com/galkesten/Domestic-Violence-Classifier
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Papers with Code 아카이브
Word Embeddings
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Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.
Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.
<span style="color:grey; opacity: 0.6">( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/georgwiese/biomedical-qa
https://github.com/gerardoasilva/NLP-DepressionDetection
https://github.com/ghlee0304/NLP-with-tensorflow-pytorch
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
https://github.com/glnmario/emo2vec
Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings
https://github.com/google/meta_tagger
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
https://github.com/groovychoons/GlobalBias
https://github.com/guilhermevarela/deep_srl-br
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
https://github.com/guilhermevarela/deep_srlbr
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
https://github.com/hammerlabml/plmbiasmeasurebenchmark
Semantic Properties of cosine based bias scores for word embeddings
https://github.com/hanfeng108/Language-Detection
https://github.com/harshvivek14/NLP-Word-Embedding-Techniques
https://github.com/heidelberg-nlp/amr-argument-sim
Classification and Clustering of Arguments with Contextualized Word Embeddings
https://github.com/hithisisdhara/doc2vec
https://github.com/hjzzang/ETM
https://github.com/horizonheart/ELMO
Evaluation of sentence embeddings in downstream and linguistic probing tasks
https://github.com/hougrammer/emoji_project
emoji2vec: Learning Emoji Representations from their Description
https://github.com/howardhsu/L-DEM
https://github.com/hscells/cui2vec
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
https://github.com/hsgodhia/hred
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
https://github.com/hufscapstone/Fast_text
https://github.com/huspacy/huspacy
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit
https://github.com/idanmoradarthas/text-summarization
https://github.com/idiap/mhan
https://github.com/if1015-datascience-ufpe/2018.2-ex3
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
https://github.com/ikergarcia1996/Iker-Garcia-Ferrero
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/ikergarcia1996/easy-label-projection
https://github.com/inconnu11/Objective-evaluation_speech_synthesis
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
https://github.com/indix/whatthelang
https://github.com/inejc/paragraph-vectors
https://github.com/ioangatop/super_tml
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
https://github.com/jacobdanovitch/spine
https://github.com/jaketae/alibi
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
https://github.com/jaketae/tupe
https://github.com/jasonshaoshun/amsal
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
https://github.com/jbaek080/unreasonable-word-vectors
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.