[PDF] Top 20 The Structure and Performance of an Open Domain Question Answering System
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The Structure and Performance of an Open Domain Question Answering System
... Documents Answers Question Question Processing Question Type Answer Type.. Answer Processing Parse.[r] ... See full document
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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] ... See full document
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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- ... See full document
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Evaluation of baseline information retrieval for Polish open-domain Question Answering system
... A question must have syntactic structure of a question (rather than a string of query terms), be simple (one question per a sentence), not requiring any additional con- text for its ...a ... See full document
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Methods for Using Textual Entailment in Open Domain Question Answering
... original question, all AGQs that do not reach TE are fil- tered from consideration; remaining passages are assigned an entailment confidence score and are sent to the AP module in order to provide an ex- act ... See full document
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FriendsQA: Open Domain Question Answering on TV Show Transcripts
... Question answering (QA) has received lots of hype over the recent years as deep learning models have progressively pushed the limit of machine compre- hension to the level of human ...for answering ... See full document
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Learning Strategies for Open Domain Natural Language Question Answering
... Table 2 compares the performance of different versions of QABLe with those reported by the three systems described above. We wish to discern the particular contribution of transformation rule learning in the QABLe ... See full document
6
RECIPE: Applying Open Domain Question Answering to Privacy Policies
... We describe our experiences in us- ing an open domain question answering model (Chen et al., 2017) to evaluate an out-of-domain QA task of assisting in analyzing privacy policies of ... See full document
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... first Open- Retrieval Question Answering system ...an open corpus, and is supervised only by question- answer string ...the open corpus must be considered a latent ... See full document
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XQA: A Cross lingual Open domain Question Answering Dataset
... Although trained and tested in different lan- guages, the multilingual BERT model achieves relatively good results on the XQA dataset. This may indicate that multilingual BERT could trans- fer the ability of capturing ... See full document
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ANU CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge
... our system for textual inference and question entailment in the medical do- main for the ACL BioNLP 2019 Shared Task, ...text. Question entailment involves iden- tifying pairs of questions which have ... See full document
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Real Time Open Domain Question Answering with Dense Sparse Phrase Index
... our system with previous state-of-the-art models for open-domain question ...for open-domain QA, and is re- cently made available on ... See full document
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
... KV-KB is the Key Value Memory Networks model from Miller et al. (2016); Das et al. (2017c) but using only KB and ignoring the text. KV-EF (early fusion) is the same model with access to both KB and text as memories. For ... See full document
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PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
... In this paper we follow previous research (Sawant et al., 2019; Sun et al., 2018) in deriving answers using both a corpus and a KB. We focus on tasks in which questions require compositional (sometimes called ... See full document
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Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
... Japanese open-domain why-QA dataset, which was created using general web texts as a source of answer passages, revealed that the generator net- work significantly improved the accuracy of the top-ranked ... See full document
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Open domain Factoid Question Answering via Knowledge Graph Search
... of these studies, a static lexicon is used for mapping surface forms of the entities to their logical forms. Scaling up such lexicons which usually contain from hundreds to several thousands entities is neither easy nor ... See full document
7
Reuse of Chinese Domain Ontology for the Restricted Domain Question Answering System
... The structure of domain ontology for question answering system (QA) was formally defined, and the relations between ontology elements and semantic analysis of question and answer ... See full document
7
Question Answering in the Biomedical Domain
... precise question- specific answers (Pudaruth et ...the domain to evolve from shallow keyword matching to contextual and semantic retrieval sys- tems (Kadam et ...the open- domain (Soares and ... See full document
10
The Role of Lexico Semantic Feedback in Open Domain Textual Question Answering
... Q&/A system that em- ploys several feedback mechanisms that provide lexical and semantic alternations to the question ...large, open-domain lin- guistic resources such as WordNet we ... See full document
8
Multi Hop Paragraph Retrieval for Open Domain Question Answering
... is open-domain QA, in which questions are given without any accompa- nying contexts, and one is required to locate the relevant contexts to the questions from a large knowledge source ...its ... See full document
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