A Joint Model for Answer Sentence Ranking and Answer Extraction

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

A Joint Model for Answer Sentence Ranking and Answer Extraction

Answer sentence ranking and answer extraction are two key challenges in question answering that have traditionally been treated in isolation, i.e., as independent tasks. In this article, we (1) explain how both tasks are related at their core by a common quantity, and (2) propose a simple and intuitive joint probabilistic model that addresses both via joint computation but task-specific applica...

متن کامل

Answer Extraction

Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user’s query. This paper describes a system that attempts to retrieve a much smaller section of text, namely, a direct answer to a user’s question. The SMART IR system is used to extract a ranked set of passages that are relevant to the query. Entities are extracted from these pass...

متن کامل

Improving Answer Ranking Using Cohesion between Answer and Keywords

At the NTCIR5 CLQA task, we participated in the Chinese-Chinese (CC) and English-Chinese (EC) QA subtasks. Due to some programming errors in our EC QA system, we will focus on the evaluation of our CC QA system in this paper. We propose a new method to improve answer ranking using the cohesion between answer and keywords. Our experimental results show the effectiveness of this new method. Besid...

متن کامل

Retrieval Answer Question AQUAINT Proximity Based Answer Extraction Redundancy Based Answer Extraction Answer Extraction Question Classification WordNet

Our QA system consists of two different components. One is for the factoid and list questions, and the other is for the other questions. The components are processed individually, and each result is combined into our submitted run. For the factoid questions, we have tried to find answers by proximity-based named entity search. Given a question, fine-grained named entities for candidate answers ...

متن کامل

Deep Learning for Answer Sentence Selection

Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right as well as in the larger context of open domain question answering. We propose a novel approach to solving this task via means of distributed representations, and learn to match questions with answers by considering their semantic encoding. Th...

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: Transactions of the Association for Computational Linguistics

سال: 2016

ISSN: 2307-387X

DOI: 10.1162/tacl_a_00087