Answer Selection

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

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Latest papers with code

Review-guided Helpful Answer Identification in E-commerce

13 Mar 2020isakzhang/answer-helpfulness-prediction

In this paper, we propose the Review-guided Answer Helpfulness Prediction (RAHP) model that not only considers the interactions between QA pairs but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.

ANSWER SELECTION COMMUNITY QUESTION ANSWERING

2
13 Mar 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering

22 Nov 2019dengyang17/wikihowQA

Community question answering (CQA) gains increasing popularity in both academy and industry recently.

ANSWER SELECTION COMMUNITY QUESTION ANSWERING TEXT SUMMARIZATION

5
22 Nov 2019

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

24 Aug 2019david-yoon/propagate-selector

In this study, we propose a novel graph neural network called propagate-selector (PS), which propagates information over sentences to understand information that cannot be inferred when considering sentences in isolation.

ANSWER SELECTION

5
24 Aug 2019

BERTSel: Answer Selection with Pre-trained Models

18 May 2019BPYap/BERTSel

we are the first to explore the performance of fine-tuning BERT for answer selection.

ANSWER SELECTION NATURAL LANGUAGE INFERENCE

2
18 May 2019

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

6
06 Dec 2018

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

NAACL 2018 david-yoon/QA_HRDE_LTC

In this paper, we propose a novel end-to-end neural architecture for ranking candidate answers, that adapts a hierarchical recurrent neural network and a latent topic clustering module.

ANSWER SELECTION LEARNING-TO-RANK

26
10 Oct 2017