open-domain question
Ranking and Sampling in Open Domain Question Answering
... Open-domain question answering (OpenQA) aims to answer questions based on a num- ber of unlabeled paragraphs. Existing ap- proaches always follow the distantly super- vised setup where some of the ...
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HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
... This paper is concerned with open-domain question answer- ing (i.e., OpenQA). Recently, some works have viewed this problem as a reading comprehension (RC) task, and directly applied successful RC ...
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Methods for Using Textual Entailment in Open Domain Question Answering
... Open-Domain Question Answering (Q/A) sys- tems return a textual expression, identified from a vast document collection, as a response to a question asked in natural ...the ...
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... on open domain question answer- ing (QA) assumes strong supervision of the supporting evidence and/or assumes a black- box information retrieval (IR) system to re- trieve evidence ...from ...
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PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
... consider open-domain question answering (QA) where answers are drawn from either a corpus, a knowledge base (KB), or a combina- tion of both of ...a question-specific sub- graph that contains ...
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XQA: A Cross lingual Open domain Question Answering Dataset
... Open-domain question answering (OpenQA) aims to answer questions through text retrieval and reading ...the question set of the target language ...
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
... Open Domain Question Answering (QA) is evolving from complex pipelined systems to end-to-end deep neural ...a question-specific subgraph containing text and KB entities and ...
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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
... on domain-specific, task-oriented applications ...each domain, and do not benefit from examples that may be available for other ...multi- domain dialog applications or open-domain ...
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A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
... existing Question Answering system for each of these To this end, we used YourQA (Quarteroni and Manandhar, 2009), our open-domain Question Answering system, de- signed to address both factoid ...
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RECIPE: Applying Open Domain Question Answering to Privacy Policies
... Open domain question answering approaches of- fer a promising glimpse into a future in which ma- chines are able to perform sophisticated cognitive tasks on behalf of a ...
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Denoising Distantly Supervised Open Domain Question Answering
... pervised open-domain question answering system which contains a paragraph selector to skim over paragraphs and a paragraph reader to perform an intensive reading on the selected ...
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Evaluation of baseline information retrieval for Polish open-domain Question Answering system
... an Open Domain Question Answering system for ...of question–answer pairs from various Polish sources and we performed an empirical evaluation of two re-ranking ...
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Real Time Open Domain Question Answering with Dense Sparse Phrase Index
... Existing open-domain question answering (QA) models are not suitable for real-time us- age because they need to process several long documents on-demand for every input query, which is ...
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Learning to Attend On Essential Terms: An Enhanced Retriever Reader Model for Open domain Question Answering
... Open-domain question answering remains a challenging task as it requires models that are capable of understanding questions and an- swers, collecting useful information, and rea- soning over ...the ...
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End to End Open Domain Question Answering with BERTserini
... to question answering to sequence ...the open-source Anserini IR toolkit to create BERT- serini, an end-to-end open-domain question an- swering (QA) ...
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WikiQA: A Challenge Dataset for Open Domain Question Answering
... the open-domain question answering (QA) prob- lem, with the goal of extracting answers from a set of pre-selected sentences (Heilman and Smith, 2010; Yao et ...
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Similarity Based Language Model Construction for Voice Activated Open Domain Question Answering
... Our Open-Domain QA System (Ikkyu) Before presenting the proposed method, we ex- plain about Ikkyu, our open domain QA system, to clarify the motivation behind the task settings and the ...
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Multi passage BERT: A Globally Normalized BERT Model for Open domain Question Answering
... Passage ranker reranks all retrieved passages, and selects a list of high-quality passages for the multi-passage BERT model. We implement the passage ranker as another BERT model, which is similar to multi-passage BERT ...
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Performance Issues and Error Analysis in an Open Domain Question Answering System
... Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics ACL, Philadelphia, July 2002, pp... Question System Modules.[r] ...
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FriendsQA: Open Domain Question Answering on TV Show Transcripts
... Many datasets have been presented for various QA tasks (Section 2.1). While numerous models have shown remarkable results with these datasets (Sec- tion 2.2), the evidence passages, where the contexts of questions are ...
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