Question Answering

Using Large Pretrained Language Models for Answering User Queries from Product Specifications ACL 2020 Using the Poly-encoder for a COVID-19 Question Answering System EMNLP 2020 Video Question Answering on Screencast Tutorials IJCAI 2020 Visuo-Linguistic Question Answering (VLQA) Challenge EMNLP 2020 Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation AACL 2020 What do Models Learn from Question Answering Datasets? EMNLP 2020 What do we expect from Multiple-choice QA Systems? EMNLP 2020 “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL EMNLP 2020 What Question Answering can Learn from Trivia Nerds ACL 2020 Academic Reader: An Interactive Question Answering System on Academic Literatures AAAI 2019 Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy ACL 2019 ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering AAAI 2019 Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering EMNLP 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System AAAI 2019 A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019 Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching AAAI 2019 AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering SemEval 2019 Alignment over Heterogeneous Embeddings for Question Answering NAACL 2019 A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset AAAI 2019 A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning EMNLP 2019 An Adaptive Framework for Conversational Question Answering AAAI 2019 Analysing Mathematical Reasoning Abilities of Neural Models ICLR 2019 An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering EMNLP 2019 Annotating and Characterizing Clinical Sentences with Explicit Why-QA Cues NAACL 2019 Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks AAAI 2019