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Natural Language Processing
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Question Answering
4032 directly classified papers
Papers per year
2006: 1
2009: 1
2011: 1
2013: 1
2014: 1
2015: 6
2016: 26
2017: 83
2018: 135
2019: 275
2020: 307
2021: 392
2022: 419
2023: 476
2024: 699
2025: 1036
2026: 173
Papers
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering
EMNLP 2021
Open Domain Question Answering over Tables via Dense Retrieval
NAACL 2021
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning
SEMEVAL 2021
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
NIPS 2021
ChainCQG: Flow-Aware Conversational Question Generation
EACL 2021
Complementary Evidence Identification in Open-Domain Question Answering
EACL 2021
‘Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks
EACL 2021
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
EACL 2021
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?
EACL 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
IJCNLP 2021
Question Answering Over Temporal Knowledge Graphs
IJCNLP 2021
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains
EMNLP 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
EMNLP 2021
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
NAACL 2021
Check It Again:Progressive Visual Question Answering via Visual Entailment
IJCNLP 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
IJCNLP 2021
Open-domain clarification question generation without question examples
EMNLP 2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
IJCNLP 2021
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
IJCNLP 2021
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
IJCNLP 2021
Multi-Task Retrieval for Knowledge-Intensive Tasks
IJCNLP 2021
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
NAACL 2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
EACL 2021
Can NLI Models Verify QA Systems’ Predictions?
EMNLP 2021
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable
EMNLP 2021
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