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Answer Selection

Question Answering › Answer Selection 10 평가 기록 6 datasets

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.

<span class="description-source">Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection </span>

논문

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

2203.13926 2022-03-25 이 페이지의 평가 2건

Exact Match: 77.68

Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering

1710.03430 2017-10-10 이 페이지의 평가 2건

1 in 10 R@1: 0.6841 in 2 R@1: 0.9161 in 10 R@2: 0.8221 in 10 R@5: 0.960

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

2205.10455 2022-05-20 이 페이지의 평가 2건

MAP: 0.743MRR: 0.800

RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

2301.02807 2023-01-07 이 페이지의 평가 2건

MAP: 0.913MRR: 0.998

Keep Learning: Self-supervised Meta-learning for Learning from Inference

2021-04-01 이 페이지의 평가 1건

1 in 10 R@1: 82.4

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

2205.01228 2022-05-02 이 페이지의 평가 1건

MAP: 0.673MRR: 0.737