Answer Selection

11 papers with code · Natural Language Processing
Subtask of Question Answering

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Greatest papers with code

LSTM-based Deep Learning Models for Non-factoid Answer Selection

12 Nov 2015deepmipt/DeepPavlov

One direction is to define a more composite representation for questions and answers by combining convolutional neural network with the basic framework.

ANSWER SELECTION

Neural Variational Inference for Text Processing

19 Nov 2015carpedm20/variational-text-tensorflow

We validate this framework on two very different text modelling applications, generative document modelling and supervised question answering.

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A Compare-Aggregate Model for Matching Text Sequences

6 Nov 2016shuohangwang/SeqMatchSeq

We particularly focus on the different comparison functions we can use to match two vectors.

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Hierarchical Memory Networks for Answer Selection on Unknown Words

COLING 2016 jacoxu/HMN4QA

Recently, end-to-end memory networks have shown promising results on Question Answering task, which encode the past facts into an explicit memory and perform reasoning ability by making multiple computational steps on the memory.

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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

TACL 2016 Leputa/CIKM-AnalytiCup-2018

(ii) We propose three attention schemes that integrate mutual influence between sentences into CNN; thus, the representation of each sentence takes into consideration its counterpart.

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Learning Recurrent Span Representations for Extractive Question Answering

4 Nov 2016shimisalant/RaSoR

In this paper, we focus on this answer extraction task, presenting a novel model architecture that efficiently builds fixed length representations of all spans in the evidence document with a recurrent network.

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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

6 Dec 2018dengyang17/MTQA

Second, these two tasks can benefit each other: answer selection can incorporate the external knowledge from knowledge base (KB), while KBQA can be improved by learning contextual information from answer selection.

ANSWER SELECTION KNOWLEDGE BASE QUESTION ANSWERING MULTI-TASK LEARNING