[PDF] Top 20 Using Semantic Roles to Improve Question Answering
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Using Semantic Roles to Improve Question Answering
... style semantic role information. We present an auto- matic method for semantic role assignment which is conceptually simple and does not require extensive feature ... See full document
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Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering
... Text-based Question Generation (QG) aims at generating natural and relevant questions that can be answered by a given answer in some ...model-generated question drifts away from the given context and ... See full document
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Large Scale Semantic Indexing and Question Answering in Biomedicine
... All the above models were combined in an en- semble, using the MULE framework (Papaniko- laou et al., 2014). MULE is a statistical signif- icance multi-label ensemble that performs classi- fier selection. The key ... See full document
5
The Role of Lexico Semantic Feedback in Open Domain Textual Question Answering
... of semantic information that is easily mined. Seven types of semantic relations span concepts, enabling the retrieval of synonyms and other semantically related ...alternations improve the recall of ... See full document
8
Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System
... to improve the performance of the answer selection ...external semantic resources such as ...employs semantic roles to improve NER-based answer ... See full document
8
The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... questions using a text editor is obviously not an efficient way to provide semantic parses even for ...to improve the labeling ...a question, the UI first presents entities detected in the ... See full document
6
Decoupled Box Proposal and Featurization with Ultrafine Grained Semantic Labels Improve Image Captioning and Visual Question Answering
... visual question an- ...corresponding semantic labels, mak- ing it less amenable as a primitive task for transfer ...visual question answering models, as measured on publicly- available ... See full document
7
Applying deep matching networks to Chinese medical question answering: a study and a dataset
... by semantic match- ing in various ...information using a bidirectional LSTM [22] and replaced the cosine similar- ity with multiple layer perceptron ...level using CNNs [23], which could capture rich ... See full document
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Question Answering Using Enhanced Lexical Semantic Models
... the question and a word from the candidate ...and semantic relat- edness as ...the question word is the WH-word, we check if the paired word belongs to some phrase that has the correct answer type ... See full document
10
Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering
... Question answering (QA) has been studied since 1990s. Large-scale benchmarks developed by inter- national evaluation projects improved the performance of QA techniques in a great deal. Since 1999, TREC ... See full document
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On Generating Characteristic rich Question Sets for QA Evaluation
... Motivated by the graph-structured nature of knowl- edge bases, we adopt a graph-centric approach. We hinge on a formal representation named graph query (e.g., Figure 1(c)), developed on the basis of Yih et al. (2015) and ... See full document
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Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
... meaningless. Semantic relations between drugs, as captured in UMLS, provide an effective method for organizing results—these relations cannot be captured by keyword content ... See full document
8
Latent Semantic Tensor Indexing for Community based Question Answering
... Since each triple in CQA has three parts, the natural representation of the CQA collection is a three-dimensional array, or 3rd-order ten- sor, rather than a matrix. Based on the tensor decomposition, we can model the ... See full document
6
Science Question Answering using Instructional Materials
... Alignment is a common technique in many NLP applications such as MT (Blunsom and Cohn, 2006), RTE (Sammons et al., 2009; MacCartney et al., 2008; Yao et al., 2013; Sultan et al., 2014), QA (Berant et al., 2013; Yih et ... See full document
7
Using Question Series to Evaluate Question Answering System Effectiveness
... each of the questions of the same type, while aggre- gating by series gives equal weight to each series. This is the same difference as between micro- and macro-averaging of document retrieval scores. For the set of runs ... See full document
8
Question Generation for Question Answering
... for question pattern prediction, both retrieval-based and generation-based methods per- form ...QG, question top- ic selection is based on the attention mechanis- m, which is optimized together with ... See full document
9
Question Answering Biographic Information and Social Network Powered by the Semantic Web
... by Semantic Web resources that represent the same informa- tion in a machine-readable form, as had been envisioned ...able using Semantic Web ...the Semantic Web in mind, but are derived ... See full document
5
Arabic Question Answering: A Study on Challenges, Systems, and Techniques
... like Question Answering to bridge the gap between general end users and the web with its different data ...Arabic Question Answering Systems building processes and the challenges met by the ... See full document
9
A Semantic Based Question Answering System for Thailand Tourism Information
... The Semantic Web can provide significant im- pact on an information intensive industry such as tourism where information plays an important role for decision and action ... See full document
5
A SYSTEMATIC REVIEW OF MOBILE BASED ASSESSMENT ACCEPTANCE STUDIES FROM 2009 TO 2019
... the semantic natural ...and semantic web technologies for solving the ...a semantic approach for question answering using DBpedia and WordNet, it has proposed the approach to ... See full document
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