Answer Generation
55 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Answer Generation
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Libraries
Use these libraries to find Answer Generation models and implementations
CICERO
QAMPARI
WeiboPolls
Most implemented papers
Product-Aware Answer Generation in E-Commerce Question-Answering
In this paper, we propose the task of product-aware answer generation, which tends to generate an accurate and complete answer from large-scale unlabeled e-commerce reviews and product attributes.
Review-Driven Answer Generation for Product-Related Questions in E-Commerce
WHUIR/RAGE
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Then, we devise a mechanism to identify the relevant information from the noise-prone review snippets and incorporate this information to guide the answer generation.
AmazonQA: A Review-Based Question Answering Task
Observing that many questions can be answered based upon the available product reviews, we propose the task of review-based QA.
Answering Naturally: Factoid to Full length Answer Generation
kolk/AnsweringNaturally
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WS 2019
A reading comprehension system extracts a span of text, comprising of named entities, dates, small phrases, etc., which serve as the answer to a given question.
VD-BERT: A Unified Vision and Dialog Transformer with BERT
salesforce/VD-BERT
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EMNLP 2020
By contrast, in this work, we propose VD-BERT, a simple yet effective framework of unified vision-dialog Transformer that leverages the pretrained BERT language models for Visual Dialog tasks.
RMM: A Recursive Mental Model for Dialog Navigation
HomeroRR/rmm
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In this paper, we go beyond instruction following and introduce a two-agent task where one agent navigates and asks questions that a second, guiding agent answers.
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
kolk/ConfnetPointerGenBaseline
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This is the first attempt towards generating full-length natural answers from a graph input(confusion network) to the best of our knowledge.
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
dengyang17/OAAG
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There are two main challenges when exploiting the opinion information from the reviews to facilitate the opinion-aware answer generation: (i) jointly modeling opinionated and interrelated information between the question and reviews to capture important information for answer generation, (ii) aggregating diverse opinion information to uncover the common opinion towards the given question.
RMM: A Recursive Mental Model for Dialogue Navigation
HomeroRR/rmm
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Findings of the Association for Computational Linguistics 2020
In this paper, we go beyond instruction following and introduce a two-agent task where one agent navigates and asks questions that a second, guiding agent answers.
End-to-End Video Question-Answer Generation with Generator-Pretester Network
Furthermore, using our generated QA pairs only on the Video QA task, we can surpass some supervised baselines.
