Abstract Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from web resources. Assessment is most important in any learning system. An assessment system can find self-learning gaps of and improve progress learning. The manual question generation takes much time labor. Therefore, automatic resources primary task an automated This paper p...

In 1999, AT&T participated in the ad-hoc task and the Question Answering (QA), Spoken Document Retrieval (SDR), and Web tracks. Most of our eeort for TREC-8 focused on the QA and SDR tracks. Results from SDR track show that our document expansion techniques, presented in 8, 9], are very eeective for speech retrieval. The results for question answering are also encouraging. Our system designed i...

In 1999, AT&T participated in the ad-hoc task and the Question Answering (QA), Spoken Document Retrieval (SDR), and Web tracks. Most of our e ort for TREC-8 focused on the QA and SDR tracks. Results from SDR track show that our document expansion techniques, presented in [8, 9], are very e ective for speech retrieval. The results for question answering are also encouraging. Our system designed ...

In 1999, AT&T participated in the ad-hoc task and the Question Answering (QA), Spoken Document Retrieval (SDR), and Web tracks. Most of our eeort for TREC-8 focused on the QA and SDR tracks. Results from SDR track show that our document expansion techniques, presented in 8, 9], are very eeective for speech retrieval. The results for question answering are also encouraging. Our system designed i...

Th e paper presents an analysis of the meaning and discourse eff ects of the German discourse particle nämlich that unifi es its diff erent readings and explains its distributional properties. I suggest that nämlich is most adequately analysed in terms of it indicating a specifi cational relation between its host and the preceding sentence, which in a question-based framework can be implemented...

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...