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Answer Selection

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

Papers

Showing 151171 of 171 papers

TitleStatusHype
A Compare-Aggregate Model for Matching Text SequencesCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Representation Learning for Answer Selection with LSTM-Based Importance WeightingCode0
Review-guided Helpful Answer Identification in E-commerceCode0
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsCode0
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQACode0
BERTSel: Answer Selection with Pre-trained ModelsCode0
Sequential Attention with Keyword Mask Model for Community-based Question AnsweringCode0
Gated-Attention Readers for Text ComprehensionCode0
Simple and Effective Text Matching with Richer Alignment FeaturesCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural NetworksCode0
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue SystemsCode0
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsCode0
Attentive Pooling NetworksCode0
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality EvaluationCode0
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
Applying Deep Learning to Answer Selection: A Study and An Open TaskCode0
LSTM-based Deep Learning Models for Non-factoid Answer SelectionCode0
M^2S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer SelectionCode0
Solution of DeBERTaV3 on CommonsenseQACode0
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