[PDF] Top 20 Improving Neural Question Generation Using Answer Separation
Has 10000 "Improving Neural Question Generation Using Answer Separation" found on our website. Below are the top 20 most common "Improving Neural Question Generation Using Answer Separation".
Improving Neural Question Generation Using Answer Separation
... target answer informa- tion plays an important role in generating the intended ques- ...of answer-separated decoder, ASs2s- <a> still outperforms the previous NQG models except for ROUGE-L on data ... See full document
8
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question Answer Corpus
... large-scale question- answer corpora ...Factoid Question- Answer Corpus, an enormous question- answer pair corpus produced by apply- ing a novel neural network ... See full document
11
Neural Question Generation using Interrogative Phrases
... the neural QG model for the SQuAD dataset (Kim et ...target answer using answer-separated seq2seq and the keyword- net ...of using interrog- ative phrases as ...passage using the ... See full document
6
Improving Question Generation With to the Point Context
... Question generation (QG) is the task of gen- erating a question from a reference sen- tence and a specified answer within the sen- ...tify answer-relevant context words to finish the ... See full document
11
Neural Models for Key Phrase Extraction and Question Generation
... While a significant fraction of answers in QA datasets like SQuAD are entities, entities alone may be insufficient for detecting different aspects of a document. Many documents are entity-less, and entity taggers may ... See full document
11
Machine Comprehension by Text to Text Neural Question Generation
... pretrained question-answering system and use that system’s accuracy as a ...recurrent neural networks, applies an attention mechanism, and points to the start and end tokens of the answer in ... See full document
11
Learning to Ask: Neural Question Generation for Reading Comprehension
... We study automatic question generation for sentences from text passages in read- ing comprehension. We introduce an attention-based sequence learning model for the task and investigate the effect of en- ... See full document
11
Generating Question Answer Hierarchies
... duplicate question candidates 9 and pass the remaining QA pairs through the multi- stage question filtering process described ...other neural text generation systems (Holtzman et ...low ... See full document
14
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
... Commonsense-based Consistent QA. While the logic-based consistent QA set provides a first step into large-scale examination of VQA consistency, the generated questions require limited reasoning and commonsense and are, ... See full document
6
Answer focused and Position aware Neural Question Generation
... feed-forward neural net- work that emits a single scalar ...label answer position, where B,I,O de- note the begin of an answer, the non-begin of the answer and the non-answer context ... See full document
10
Ontology Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation
... specific question or topic when using only a traditional search ...Biomedical Question Answering systems au- tomatically identify the most relevant docu- ments and pinpointed answers, given an in- ... See full document
11
Towards Answer unaware Conversational Question Generation
... systems, question generation has attracted larger research attention in NLP com- ...in question generation has shifted from template-based generation sys- tems to neural ... See full document
9
Self Attention Architectures for Answer Agnostic Neural Question Generation
... Neural architectures based on self-attention, such as Transformers, recently attracted inter- est from the research community, and obtained significant improvements over the state of the art in several tasks. We ... See full document
6
A. Question Clustering and Answer Prediction
... Community QUestion Answering ...both question clustering and answer prediction ...functionalities. Question clustering is accomplished using a quadripartite graph-based clustering ... See full document
6
Leveraging Context Information for Natural Question Generation
... use answer position information. S2S+cp+f uses both answer position and rich features (NE and POS tags) by concatenating their embeddings with the word em- bedding on the encoder side (Peng et ... See full document
6
If technology is the answer, what is the question?
... Digital Pedagogy is precisely not about using digital technologies for teaching and, rather, about approaching those tools from a critical pedagogical perspective.. So, it is as much abo[r] ... See full document
84
A Factoid Question Answering System Using Answer Pattern Matching
... language question. The aim of a question answering system is to present the required in- formation directly, instead of documents contain- ing potentially relevant ...toid question has exactly one ... See full document
5
Passage Retrieval Using Answer Type Profiles in Question Answering
... of answer type given a question. Earlier ap- proaches for question classification used manually constructed set of rules to map a question to an answer ... See full document
10
Factual open cloze question generation for assessment of learner’s knowledge
... MCQ generation from a textbook on ...semi-automatic generation of grammar based test items by using NLP ...automatic generation of MCQs from domain ...selected using a set of pattern ... See full document
12
Paraphrasing Using Given and New Information in a Question Answer System
... In CO-OP, an internal representation of the user's question is passed to the paraphraser which then generates a new version of the question for the user.. Upon seeing the paraphrase, the[r] ... See full document
6
Related subjects