Question Prediction Language Model
نویسندگان
چکیده
This paper proposes the use of a language representation that specifies the relationship between terms of a sentence using question words. The proposed representation is tailored to help the search for documents containing an answer for a natural language question. This study presents the construction of this language model, the framework where it is used, and its evaluation.
منابع مشابه
Using Generalized Language Model for Question Matching
Question and answering service is one of the popular services in the World Wide Web. The main goal of these services is to finding the best answer for user's input question as quick as possible. In order to achieve this aim, most of these use new techniques foe question matching. . We have a lot of question and answering services in Persian web, so it seems that developing a question matching m...
متن کاملWritten word recognition by the elementary and advanced level Persian-English bilinguals
According to a basic prediction made by the Revised Hierarchical Model (RHM), at early stages of language acquisition, strong L2-L1 lexical links are formed. RHM predicts that these links weaken with increasing proficiency, although they do not disappear even at higher levels of language development. To test this prediction, two groups of highly proficie...
متن کاملInteractive Grounded Language Acquisition and Generalization in a 2D World
We build a virtual agent for learning language in a 2D maze-like world. The agent sees images of the surrounding environment, listens to a virtual teacher, and takes actions to receive rewards. It interactively learns the teacher’s language from scratch based on two language use cases: sentence-directed navigation and question answering. It learns simultaneously the visual representations of th...
متن کاملNteractive G Rounded L Anguage a Cquisition and G Eneralization in a 2 D W Orld
We build a virtual agent for learning language in a 2D maze-like world. The agent sees images of the surrounding environment, listens to a virtual teacher, and takes actions to receive rewards. It interactively learns the teacher’s language from scratch based on two language use cases: sentence-directed navigation and question answering. It learns simultaneously the visual representations of th...
متن کاملIndexing on Semantic Roles for Question Answering
Semantic Role Labeling (SRL) has been used successfully in several stages of automated Question Answering (QA) systems but its inherent slow procedures make it difficult to use at the indexing stage of the document retrieval component. In this paper we confirm the intuition that SRL at indexing stage improves the performance of QA and propose a simplified technique named the Question Prediction...
متن کامل