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Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
This paper describes the participation of UvA.ILPS group at the TREC CAs...
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A Comparison of Question Rewriting Methods for Conversational Passage Retrieval
Conversational passage retrieval relies on question rewriting to modify ...
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Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval
Existing methods for open-retrieval question answering in lower resource...
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A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
The dependency between an adequate question formulation and correct answ...
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Open-Domain Question Answering Goes Conversational via Question Rewriting
We introduce a new dataset for Question Rewriting in Conversational Cont...
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How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Task-agnostic forms of data augmentation have proven widely effective in...
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On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
Recent work (Feng et al., 2018) establishes the presence of short, unint...
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MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Progress in cross-lingual modeling depends on challenging, realistic, an...
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Question Rewriting for Conversational Question Answering
Conversational question answering (QA) requires answers conditioned on t...
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An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
To produce a domain-agnostic question answering model for the Machine Re...
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A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs
LSTMs have become a basic building block for many deep NLP models. In re...
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