• No results found

Question Answering (Information Retrieval)

Islamic Applications of Automatic Question-Answering

Islamic Applications of Automatic Question-Answering

... a question answering system aims to extract the exact ...A question answering system involves the process of accepting a NL (Natural Language) question, analyzing, and processing to ...

7

Building a Question Classification Model for a Malay Question Answering System

Building a Question Classification Model for a Malay Question Answering System

... the Question Answering for the Holy ...the Question Classification component of a Malay QAS and to report on the performance evaluation of the classifiers that are built with different machine ...

7

Neural Arabic Question Answering

Neural Arabic Question Answering

... Open-domain Arabic question answering. The state of current Arabic QA systems is summarized in (Shaheen and Ezzeldin, 2014): research has focused mostly on open-ended QA using classi- cal information ...

11

Routing Questions for Collaborative Answering in Community Question Answering

Routing Questions for Collaborative Answering in Community Question Answering

... the question answering as an information retrieval process with the purpose of satisfying the question ...of question asker and found information seeking patterns that correlate with ...the ...

8

An Analysis of Clarification Dialogue for Question Answering

An Analysis of Clarification Dialogue for Question Answering

... which Question Answering systems constrain possible answers is by restricting the number of documents in which an answer is sought by filtering the total number of available documents through the use of an ...

8

APPROCHES FOR QUESTION ANSWERING SYSTEMS

APPROCHES FOR QUESTION ANSWERING SYSTEMS

... Question Answering (QA) system is a man machine communication device. The basic idea of QA systems in Natural Language Processing (NLP) is to provide correct responses to the questions in a human like ...

6

Evaluating Question Answering Evaluation

Evaluating Question Answering Evaluation

... Because of the inherent limitations of n-gram metrics, recent work has focused on using met- rics that have been learned or are based on word representations. In image captioning, Cui et al. (2018) train a model that ...

6

Manhattan Siamese LSTM for Question Retrieval in Community Question Answering

Manhattan Siamese LSTM for Question Retrieval in Community Question Answering

... Community Question Answering (cQA) are platforms where users can post their questions, expecting for other users to provide them with ...of question retrieval in cQA which aims to retrieve previous ...

18

Question Answering Evaluation Survey

Question Answering Evaluation Survey

... Evaluating Question Answering (QA) Systems is a very complex task: state-of-the-art systems involve processing whose influences and contributions on the final result are not clear and need to be ...

6

Using Question Series to Evaluate Question Answering System Effectiveness

Using Question Series to Evaluate Question Answering System Effectiveness

... recent question answering evaluations as a means of mod- eling dialogues between questioners and ...for answering contextualized questions and for tracking (some forms of) the way objects are re- ...

8

Automated Approaches to Community Question Answering

Automated Approaches to Community Question Answering

... community Question Answering websites have gained popularity ...any question to a community of ...any question and expect some good, honest ...of question-comment threads created by a ...

130

Generating Question Relevant Captions to Aid Visual Question Answering

Generating Question Relevant Captions to Aid Visual Question Answering

... Visual question answering (VQA) and im- age captioning require a shared body of gen- eral knowledge connecting language and vi- ...ing question-relevant captions using an on- line gradient-based ...

10

Data-Intensive Question Answering

Data-Intensive Question Answering

... TREC Question Answering ...the question formulation and the string containing its ...some Question/Answer pairs, deep reasoning is needed to relate the ...to question answering ...

8

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Improving the Robustness of Question Answering Systems to Question Paraphrasing

... With the release of large-scale, high-quality, and increasingly challenging question answering (QA) datasets (Rajpurkar et al., 2016; Nguyen et al., 2016; Joshi et al., 2017; Reddy et al., 2018), the ...

11

Neural Generative Question Answering

Neural Generative Question Answering

... Question answering (QA) can be viewed as a special case of single-turn dialogue: QA aims at providing correct answers to the questions in natural language, while dialogue emphasizes on generating relevan- t ...

7

Learning to Paraphrase for Question Answering

Learning to Paraphrase for Question Answering

... Enabling computers to automatically answer ques- tions posed in natural language on any domain or topic has been the focus of much research in re- cent years. Question answering (QA) is challeng- ing due to ...

12

Revisiting Question Answering in Vampire

Revisiting Question Answering in Vampire

... Question answering is the process of taking a conjecture existentially quantified at the outer- most level and providing one or more instantiations of the quantified variable(s) as a form of an answer to ...

11

Question Condensing Networks for Answer Selection in Community Question Answering

Question Condensing Networks for Answer Selection in Community Question Answering

... community question answering (CQA). In a real-world CQA forum, a question is often represented as two parts: a sub- ject that summarizes the main points of the question, and a body that ...

10

Question Answering in the Biomedical Domain

Question Answering in the Biomedical Domain

... synthetic question- answer pairs; (3) SQuAD (Rajpurkar et ...the question-answering datasets provided on MediQA 2019 4 ; (5) the question entailment dataset and MedQuAD (Ben Abacha and ...

10

Question Generation for Question Answering

Question Generation for Question Answering

... of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), the other is a generation-based method using recurrent neural network (RNN); Second, we ...

9

Show all 2384 documents...

Related subjects