[PDF] Top 20 Leveraging Context Information for Natural Question Generation
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Leveraging Context Information for Natural Question Generation
... of natural question generation is to generate a corresponding question given the input passage (fact) and ...other context within the ... See full document
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A Policy Based Approach to Context Dependent Natural Language Generation
... resource, context plays a vital role in sup- porting the selection of information to be displayed to the ...force context-dependent preferences while the text is being generated by the Text ... See full document
7
Towards natural language question generation for the validation of ontologies and mappings
... validation. Natural Language Processing (NLP) techniques have been extensively used to retrieve and extract information from textual sources in order to automatically identify con- cepts, instances, and ... See full document
15
Underspecified Query Refinement via Natural Language Question Generation
... tags. Information about the relation of the candidate to the query and the category of the queried record is captured using the features candidate is a substring of the query and candidate contains the queried ... See full document
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Syntax and Semantics Question Analysis Using User Modelling and Relevance Feedback
... the Question Answering (QA) systems are progressing towards solving research issues in handling complex questions such as comparative, evaluation, superlative and negation question types [7], [11], [12], ... See full document
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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
... cific question additionally has: (1) the answer to the question ...using information retrieval or a knowledge base search coupled with tem- plates; (2) relevant noun and verb phrases ... See full document
10
Intelligent Questions and Summary Generator Examally
... key information regarding the ...uses natural language processing (NLP) for the implementation of question generation, and knowledge base is used to generate answers for the generated ... See full document
6
BERT for Question Generation
... various natural language understanding tasks, such as document summa- rization, document classification, ...tackle question generation ...for question gen- eration ...sequential ... See full document
5
Context aware Natural Language Generation for Spoken Dialogue Systems
... the information contained in the DA and the naturalness is defined as whether the response could plausibly have been produced by a human as proposed by Wen et ... See full document
10
Building a system based on natural languages processing to automatic question generation from arabic texts
... driven method and simplified the process by extracting elementary sentences from the complex sentences using syntactic information and Part Of Speech Tagging (POS).After classifying the elementary sentences based ... See full document
6
Efficient algorithm for Context Sensitive Aggregation in Natural Language generation
... the context (communicative goal of the text). The issue of context in semantic group- ing gains importance especially in systems that present the same information in different views (Example: QA ... See full document
6
Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks
... Soft labeling, or the association of one train- ing instance with multiple, weighted, conflict- ing labels, is a technique to model noisy training data. Thiel (2008) found that soft labeled train- ing data produced more ... See full document
7
Improving Question Generation With to the Point Context
... keep the extractions as informative as possible and avoid extracting too many similar relations in dif- ferent granularities from one sentence. We join all arguments in the extracted n-ary relation into a sequence as our ... See full document
11
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
... for natural language generation ...future generation. We evaluate Scratchpad in the context of three well-studied natural language generation tasks — Machine Translation, ... See full document
11
Image Grounded Conversations: Multimodal Context for Natural Question and Response Generation
... Das et al. (2017a) extend the VQA scenario by collecting sequential questions from people who are shown only an automatically generated caption, not the image itself. The utterances in this dataset, called ‘Visual ... See full document
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Title: Rule Based Question Generation System from Punjabi Text Contain Historical Information
... Automatic Question generation is a computer program of generating questions automatically from a ...generate question from Punjabi historical documents or ... See full document
6
Cognitive Functionality based Question Answering System
... planning information retrieval and reaching the goal of finding the best ...uses natural language processing and semantic web to analyze and clas- sify ...query. Information retrieval tools based ... See full document
6
Deep Learning Approaches to Text Production
... In data-driven approaches, it is used for instance, to generate dialogue turns from dialogue moves [Wen et al., 2015, Wen et al., 2016, Novikova et al., 2017], to verbalise the content of Knowledge bases [Gardent et al., ... See full document
6
Generating Natural Language Question Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model
... fusion between is/are and do/does (ii) incorrect use of determiners (missing articles, confusion be- tween a/the and addition of extra articles). An- other problem occurs when the extracted keyword sequence contains a ... See full document
10
Leveraging Multiple MT Engines for Paraphrase Generation
... Pivot approach can also be used in paraphrase generation. It generates paraphrases by translating sentences from a source language to one (single- pivot) or more (multi-pivot) pivot languages and then translating ... See full document
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