Answering Definition Questions via Temporally-Anchored Text Snippets

نویسنده

  • Marius Pasca
چکیده

A lightweight extraction method derives text snippets associated to dates from the Web. The snippets are organized dynamically into answers to definition questions. Experiments on standard test question sets show that temporally-anchored text snippets allow for efficiently answering definition questions at accuracy levels comparable to the best systems, without any need for complex lexical resources, or specialized processing modules dedicated to finding definitions.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Automatic Definition Extraction in Arabic Language

During the last few years, a lot of researches have focused on automatic definition extraction in the context of question answering systems. Although, these researches have been conducted for different languages, no research has been proposed for Arabic. In this paper, we tackle the automatic definition extraction in the context of Question Answering systems. We propose a method based on patter...

متن کامل

Overview of the TREC 2003 Question Answering Track

The TREC 2003 question answering track contained two tasks, the passages task and the main task. In the passages task, systems returned a single text snippet in response to factoid questions; the evaluation metric was the number of snippets that contained a correct answer. The main task contained three separate types of questions, factoid questions, list questions, and definition questions. Eac...

متن کامل

Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions

In the context of question-answering systems, there are several strategies for scoring candidate answers to definition queries including centroid vectors, bi-term and context language models. These techniques use only positive examples (i.e., descriptions) when building their models. In this work, a maximum entropy based extension is proposed for context language models so as to account for reg...

متن کامل

Can Click Patterns across User's Query Logs Predict Answers to Definition Questions?

In this paper, we examined click patterns produced by users of Yahoo! search engine when prompting definition questions. Regularities across these click patterns are then utilized for constructing a large and heterogeneous training corpus for answer ranking. In a nutshell, answers are extracted from clicked web-snippets originating from any class of web-site, including Knowledge Bases (KBs). On...

متن کامل

Mining Web Snippets to Answer List Questions

This paper presents ListWebQA, a question answering system that is aimed specifically at extracting answers to list questions exclusively from web snippets. Answers are identified in web snippets by means of their semantic and syntactic similarities. Initial results show that they are a promising source of answers to list questions.

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008