[PDF] Top 20 Experiments with Open Domain Textual Question Answering
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Experiments with Open Domain Textual Question Answering
... coling2k dvi Experiments with Open Domain Textual Question Answering Sanda M Harabagiu and Marius A Pa?sca and Steven J Maiorano Department of Computer Science and Engineering Southern Methodist Unive[.] ... See full document
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FriendsQA: Open Domain Question Answering on TV Show Transcripts
... challenging question answering dataset that contains 1,222 dialogues and 10,610 open-domain questions, to tackle machine comprehension on everyday ... See full document
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Open domain Factoid Question Answering via Knowledge Graph Search
... Knowledge graphs contain large amounts of factual information about entities (i.e., well-known places, people and things) and their attributes such as place of birth or profession. Large knowledge graphs gen- erally ... See full document
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A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
... for textual classification is that an overlap in the structure of two texts indicates a semantic relation, such as ques- tion/answer ...the question and the ... See full document
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Question Answering in the Biomedical Domain
... QA requires the retrieval of long answers be- fore summarisation or retrieval of answer spans. Punyakanok et al. (2004) introduced the use of a question’s dependency trees and candidate an- swers’ dependency trees and ... 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 model, ... See full document
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RECIPE: Applying Open Domain Question Answering to Privacy Policies
... The inaccurate results for these answers can be partially attributed to the fact that our approach has to produce an answer (label) each time, which in some cases is not explicitly stated in the text. Furthermore, some ... See full document
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... lematic. Question writing is not motivated by an information ...the question that would not be present in natu- rally occurring questions, as shown in the exam- ples in Table ...the question askers ... 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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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 ... See full document
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
... The one exception is the KB-only case for WebQuestionsSP where GRAFT-Net does 6.2% F1 points worse than Neural Symbolic Machines (Liang et al., 2017). Analysis suggested three ex- planations: (1) In the KB-only setting, ... 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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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
... of experiments, we investigate the effect of using increasingly larger ontologies with regards to slot types on the perfor- mance of our NLG models for ...of experiments, we investigate whether jointly ... See full document
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PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
... be interpreted as identifying an entity based on a relationship and related entity, plus additional re- strictions described in text, and it is unclear how to extend such approaches to multi-hop questions. GRAFT-Net (Sun ... See full document
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Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
... why- question answering (why-QA) that uses an ad- versarial learning ...of experiments using Japanese why-QA datasets, we show that these representations improve the performance of our why-QA neu- ... See full document
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Real Time Open Domain Question Answering with Dense Sparse Phrase Index
... We introduce a model for real-time open-domain question answering by learning indexable phrase representations independent of the query. Our phrase representations leverage sparse and dense ... See full document
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Denoising Distantly Supervised Open Domain Question Answering
... the question “Which country’s capital is Dublin?”, we may encounter that: (1) The retrieved paragraph “Dublin is the largest city of Ireland ...the question; (2) The second “Dublin” in the retrieved ... See full document
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End to End Open Domain Question Answering with BERTserini
... end-to-end question an- swering system that integrates BERT with the open-source Anserini information retrieval ...most question answer- ing and reading comprehension models today, which operate over ... See full document
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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 ... See full document
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SVM Answer Selection for Open Domain Question Answering
... ????? ????? ??? ??????????????????????? ???? ???"!$#%??&(')??? *,+?? ? ????? ??????? ??? /???"0 132547652?8925 ?;?<3=?25>@?A ?,65?/BC?A ?;?< ?A45D7E";FBC?A ?2HGI?AJKD?? LNMOMQPSRUTVTXWAYAZ\[@] ^$Z`RUY[.] ... See full document
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