[PDF] Top 20 Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
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Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
... on question q, the generation of the compact-answer representations by F and R is conditioned by question q, like in the con- ditional GANs (Mirza and Osindero, ... See full document
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Training a Ranking Function for Open Domain Question Answering
... deep learning methods for machine ...the answer from the given ground truth ...comprehension-style question an- swering (QA) ...tackle open-domain ...the answer to the ...the ... See full document
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A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
... learning algorithms exploiting to the robustness of Support Vector Machines (SVMs) to irrelevant features (Vapnik, 1995). More recent work, e.g. (Shen and Lapata, 2007) has shown that shallow semantic information ... See full document
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Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
... on answer selection in QA can be classified into four ...correct answer from the candidates according to the distance be- tween a candidate and all question ...the question and the ... See full document
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Denoising Distantly Supervised Open Domain Question Answering
... relevant texts, which do not always exist in real-world question answering (QA) ...of open domain QA. In re- cent years, researchers attempt to answer open- domain ... See full document
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Methods for Using Textual Entailment in Open Domain Question Answering
... rent question-answering systems with valuable se- mantic information that can be leveraged to iden- tify exact answers from ranked lists of candidate ...of texts evaluated in the RTE Challenge with ... See full document
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RECIPE: Applying Open Domain Question Answering to Privacy Policies
... Motivated by their success, we set to apply one such model (Chen et al., 2017) to evaluate an out- of-domain QA task to assist in analysis and un- derstanding of privacy policies. The text in pri- vacy policies is ... 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 ...end-to-end learning is that retrieval over the ... See full document
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End to End Open Domain Question Answering with BERTserini
... different texts, we only evaluate with respect to the SQuAD answer spans ...correct answer ap- pears in any retrieved segment; this is what ... See full document
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XQA: A Cross lingual Open domain Question Answering Dataset
... to answer open-domain ...tracting answer of the ...to answer the questions, while Lin et ...shared-normalization learning objective on sam- pling ... See full document
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Learning to Attend On Essential Terms: An Enhanced Retriever Reader Model for Open domain Question Answering
... for open-domain ...the answer text as posi- tive samples during ...the answer span. Although these works have achieved progress on open-domain QA by improv- ing the ranking or ... See full document
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Paraphrase Driven Learning for Open Question Answering
... machine learning techniques to automatically construct question answering systems from data (Zelle and Mooney, 1996; Popescu et ...small domain-specific databases like GeoQuery (Tang and ... See full document
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Multi Hop Paragraph Retrieval for Open Domain Question Answering
... a question Q and a paragraph P and extracts the most probable answer span to Q from ...Therefore, question-to-parargaph attention is not used, and we set a ij = −∞ if i = ... See full document
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FriendsQA: Open Domain Question Answering on TV Show Transcripts
... the answer predictions overly rely on the question types. For why questions, the model tends to blindly selects spans following certain keywords such as because even though they are placed in wrong ... See full document
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Learning Strategies for Open Domain Natural Language Question Answering
... wider domain coverage through the acquisition of more transformation ...rule learning and use for the two learning versions of ...to answer an answer (where a correct answer was ... See full document
6
Domain agnostic Question Answering with Adversarial Training
... Face’s open-source BERT implementation 1 in Py- torch (Paszke et ...a learning rate 3e-5 and a batch size of ...of adversarial loss as described in the equation ...and adversarial model are ... See full document
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HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
... the question as a key to attention paragraph (Wang and Jiang 2016; Chen et ...to question (Seo et ...task. Answer decoder aims to generate an- swer string based on the context ...generate ... See full document
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Answer guided and Semantic Coherent Question Generation in Open domain Conversation
... intriguing question is a key step to- wards building human-like open-domain chat- ...the answer has strong semantic coherence to its question and post, which can be used to guide ques- ... See full document
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Question Condensing Networks for Answer Selection in Community Question Answering
... the domain- specific unannotated corpus, and embeddings for out-of-vocabulary words are set to ...initial learning rate [1 × 10 −6 , 3 × 10 −6 , 1 × 10 −5 ], L2 regularization parameter [1 × 10 −7 , 3 × 10 ... See full document
10
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering
... reinforcement learning, the search space of possible actions and paths grows expo- nentially with the path ...imitation learning ap- proach could be beneficial here where we provide a number of expert paths ... See full document
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