Answer Generation
56 papers with code • 2 benchmarks • 3 datasets
Libraries
Use these libraries to find Answer Generation models and implementationsMost implemented papers
Quiz-Style Question Generation for News Stories
As a first step towards measuring news informedness at a scale, we study the problem of quiz-style multiple-choice question generation, which may be used to survey users about their knowledge of recent news.
Knowing More About Questions Can Help: Improving Calibration in Question Answering
We study calibration in question answering, estimating whether model correctly predicts answer for each question.
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
We present Cross-lingual Open-Retrieval Answer Generation (CORA), the first unified many-to-many question answering (QA) model that can answer questions across many languages, even for ones without language-specific annotated data or knowledge sources.
Engage the Public: Poll Question Generation for Social Media Posts
This paper presents a novel task to generate poll questions for social media posts.
Change Detection Meets Visual Question Answering
In order to provide every user with flexible access to change information and help them better understand land-cover changes, we introduce a novel task: change detection-based visual question answering (CDVQA) on multi-temporal aerial images.
KAT: A Knowledge Augmented Transformer for Vision-and-Language
The primary focus of recent work with largescale transformers has been on optimizing the amount of information packed into the model's parameters.
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted increasing attention as it can act as an intelligent online shopping assistant and improve the customer shopping experience.
SCAI-QReCC Shared Task on Conversational Question Answering
Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search.
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
This paper addresses the problem of dialogue reasoning with contextualized commonsense inference.
ELQA: A Corpus of Metalinguistic Questions and Answers about English
We present ELQA, a corpus of questions and answers in and about the English language.