A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Neural Models for Key Phrase Detection and Question Generation

We propose a two-stage neural model to tackle question generation from documents. Our model first estimates the probability that word sequences in a document compose “interesting” answers using a neural model trained on a questionanswering corpus. We thus take a data-driven approach to interestingness. Predicted key phrases then act as target answers that condition a sequence-tosequence questio...

متن کامل

Question Generation for Question Answering

This paper presents how to generate questions from given passages using neural networks, where large scale QA pairs are automatically crawled and processed from Community-QA website, and used as training data. The contribution of the paper is 2-fold: First, two types of question generation approaches are proposed, one is a retrieval-based method using convolution neural network (CNN), the other...

متن کامل

Multi-Strategy Information Extraction for Question Answering

This paper presents a flexible approach using a utilitybased planner to choose between different extraction methods in a question-answering (QA) system, enabling multiple run-time strategies. We model the QA process as a set of probabilistic actions, and use the planner to select an action sequence maximizing the expected value of information. The planner exploits redundancy and diversity by dy...

متن کامل

Program Synthesis for Multi-agent Question Answering

Techniques that were developed for program synthesis are being applied to allow multiple agents to communicate with each other and cooperate to solve a single problem. We illustrate the use of program synthesis techniques in a system that answers questions about geography.

متن کامل

A Multi-agent Approach to Question Answering

In this paper we present a multi-agent approach to question answering for the Portuguese language. Our proposal is composed by three modules: (1) document and query processing; (2) ontology construction; and (3) answer generation. Each module is composed by multiple cooperative agents which adopt distinct strategies to generate its outputs and cooperate to create a global result. This approach ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence

سال: 2019

ISSN: 2374-3468,2159-5399

DOI: 10.1609/aaai.v33i01.33017168