视频问答兴起，多跳问答热度衰退，92篇论文看智能问答的发展趋势
作者：互联网
2019年的时候，舒意恒Y.Shu整理了一份《2019年，智能问答有哪些研究方向？》，如今2020年已经过去了一半，该领域的研究趋势发生了一些有趣的变化。于是Y.Shu继续为大家整理了今年ACL、AAAI、IJCAI、SIGIR、CVPR、ICML、KDD等顶级会议上智能问答方向的92篇论文，进行了分方向梳理，并为大家打包了这92篇的论文PDF挂在订阅号后台方便大家下载。
在智能问答涉及的各个小方向上，视觉/视频问答、对话、问题生成等主题成为最热门的研究方向。不同于关于 2019 年 QA 研究的统计，多跳问答在今年上半年似乎没有持续的热度。
在订阅号 「夕小瑶的卖萌屋」 后台回复关键词【0713】，即可下载92篇论文pdf合集。
基准测试
- AAAI 2020｜Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks 新的阅读理解数据集，包含基于文本的世界知识和无法回答的问题
- ACL 2020｜What Question Answering can Learn from Trivia Nerds 问答系统能从冷知识书呆子那儿学到啥？
常识问答 - AAAI 2020｜Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
- AAAI 2020｜PIQA: Reasoning about Physical Commonsense in Natural Language
- ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning 常识推理数据集
社区问答 - AAAI 2020｜Attentive User-Engaged Adversarial Neural Network for Community Question Answering
- AAAI 2020｜Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
文档级问答 - ACL 2020｜Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
- ACL 2020｜RikiNet: Reading Wikipedia Pages for Natural Question Answering 长文档阅读
片段选择 - ACL 2020｜Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
ACL 2020｜Span Selection Pre-training for Question Answering
ACL 2020｜CorefQA: Coreference Resolution as Query-based Span Prediction 基于片段预测的共指消解
开放域问答
ACL 2020｜Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
ACL 2020｜Dense Passage Retrieval for Open-Domain Question Answering
ACL 2020｜Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
知识库问答与多跳问答
ACL 2020｜Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings 利用知识图谱嵌入的多跳问答模型，获得 SOTA
ACL 2020｜Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering 多跳问答的迭代解释检索
ACL 2020｜Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases 知识库问答的多跳复杂问题查询图生成
AAAI 2020｜Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
高效的问答系统
ACL 2020｜DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering 问题和文段分别编码
ACL 2020｜Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
对话
AAAI 2020｜Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering
AAAI 2020｜An Empirical Study of Content Understanding in Conversational Question Answering
SIGIR 2020｜Open-Retrieval Conversational Question Answering
ACL 2020｜Fluent Response Generation for Conversational Question Answering
ACL 2020｜Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering
ACL 2020｜Learning to Identify Follow-Up Questions in Conversational Question Answering
ACL 2020｜DoQA - Accessing Domain-Specific FAQs via Conversational QA
视觉问答
包括针对图像、视频的问答。
IJCAI 2020｜Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
ICML 2020｜Probing Emergent Semantics in Predictive Agents via Question Answering
IEEE TGRS｜RSVQA: Visual Question Answering for Remote Sensing Data
CVPR 2020｜Counterfactual Samples Synthesizing for Robust Visual Question Answering
AAAI 2020 workshop｜A Study on Multimodal and Interactive Explanations for Visual Question Answering
CVPR 2020 oral｜Hierarchical Conditional Relation Networks for Video Question Answering
CVPR 2020｜On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
IEEE SEMANTIC COMPUTING｜Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach
AAAI 2020｜Re-Attention for Visual Question Answering
AAAI 2020｜Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering
AAAI 2020｜Segment-then-Rank: Non-factoid Question Answering on Instructional Videos
AAAI 2020｜Location-aware Graph Convolutional Networks for Video Question Answering
AAAI 2020｜Multi-Question Learning for Visual Question Answering
AAAI 2020｜Reasoning with Heterogeneous Graph Alignment for Video Question Answering
AAAI 2020｜Unified Vision-Language Pre-Training for Image Captioning and VQA
AAAI 2020｜KnowIT VQA: Answering Knowledge-Based Questions about Videos
AAAI 2020｜Overcoming Language Priors in VQA via Decomposed Linguistic Representations
AAAI 2020｜Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
ACL 2020｜Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
ACL 2020｜Multimodal Neural Graph Memory Networks for Visual Question Answering
ACL 2020｜TVQA+: Spatio-Temporal Grounding for Video Question Answering
ACL 2020｜Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
ACL 2020｜A negative case analysis of visual grounding methods for VQA
问题生成
ACL 2020 workshop｜A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
ACL 2020｜Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
ACL 2020｜On the Importance of Diversity in Question Generation for QA
AAAI 2020｜Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
AAAI 2020｜Conclusion-Supplement Answer Generation for Non-Factoid Questions
AAAI 2020｜Visual Dialogue State Tracking for Question Generation
AAAI 2020｜Neural Question Generation with Answer Pivot
*AAAI 2020｜Capturing Greater Context for Question Generation
数据集
值得注意的是，以下一些文章未发现正式发表在会议/期刊上。
RuBQ: A Russian Dataset for Question Answering over Wikidata 俄语问答数据集
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning 常识推理数据集
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
FQuAD: French Question Answering Dataset
AAAI 2020｜JEC-QA: A Legal-Domain Question Answering Dataset
AAAI 2020｜QASC: A Dataset for Question Answering via Sentence Composition
ACL 2020｜The TechQA Dataset 包含技术论坛上的实际问题的数据集
ACL 2020｜Controlled Crowdsourcing for High-Quality QA-SRL Annotation 其中 SRL 指语义角色标签
AAAI 2020｜How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
表格问答
AAAI 2020｜CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
无监督 QA
ACL 2020｜Harvesting and Refining Question-Answer Pairs for Unsupervised QA
ACL 2020｜Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Facebook｜Unsupervised Question Decomposition for Question Answering
垂直领域问答
ACL 2020 workshop｜Entity-Enriched Neural Models for Clinical Question Answering
ACL 2020｜Talk to Papers: Bringing Neural Question Answering to Academic Search
IEEE TMI｜A Question-Centric Model for Visual Question Answering in Medical Imaging
ACL 2020｜Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
AAAI 2020｜On the Generation of Medical Question-Answer Pairs
AAAI 2020｜Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
对问答系统的评估/利用问答评估
ACL 2020｜MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
ACL 2020｜FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
ACL 2020｜Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
ACL 2020｜MLQA: Evaluating Cross-lingual Extractive Question Answering
**问答系统的解释***
- ACL 2020｜Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering 多跳问答的迭代解释检索
其他
ACL 2020｜Selective Question Answering under Domain Shift
KDD 2020｜Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
ACL 2020｜Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
AAAI 2020｜Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering
AAAI 2020｜ManyModalQA: Modality Disambiguation and QA over Diverse Inputs 多模态 QA
ACL 2020｜A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
*ACL 2020｜Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering
好啦，只能帮大家到这里了。
在订阅号 「夕小瑶的卖萌屋」 后台回复关键词【0713】，即可下载92篇论文pdf合集。
标签：AnsweringACL,热度,Answering,Question,ACL,2020,92,问答 来源： https://blog.51cto.com/15061930/2570335