https://github.com/shimisalant/RaSoR
Learning Recurrent Span Representations for Extractive Question Answering
Papers with Code 아카이브
Answer Selection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.
Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shining-spring/nvlda
https://github.com/sunsiqi26/Entailment-with-TensorFlow
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
https://github.com/wayalhruhi/julianser
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/winter1997/Attentive-Pooling-Networks
https://github.com/wszcaswsz/Conversation_Model
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/yangliuy/HybridNCM
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/yangliuy/NeuralResponseRanking
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/yf0726/SemeterProjectSpring19
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/younggns/comparative-abusive-lang
https://github.com/ysmiao/nvdm
https://github.com/zhaojinglong/Attentive-Pooling-Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.