We describe our experience with two new, builtfrom-scratch, web-based question answering systems applied to the TREC 2005 Main Question Answering task, which use complementary models of answering questions over both structured and unstructured content on the Web. Our approaches depart from previous question answering (QA) work in several ways. For unstructured content, we used a web-based syste...

There are vast amounts of text data on World Wide Web and in encyclopedias and newspapers. For efficient information access to such text data, Question Answering is an option. Question Answering which this thesis uses is defined that a technique to find an answer from a large amount of text data for a given question written in natural language. Evaluation workshops for Question Answering starte...

This work focuses on the relation matching problem in knowledge based question answering systems. Finding the right relation a natural question asks is a key step in current knowledge based question answering systems, while also being the most difficult one, because of the mismatch between natural language question and formal relation type definitions. In this paper, we present two approaches t...

Segregation and matching are techniques to estimate variance components in mixed models. A question arising is whether segregation can be applied in situations where matching does not apply. Our motivation for this research relies on the fact that we want an answer to that question and to explore this important class of models that can contribute to the development of mixed models. That is poss...

ontology is the main infrastructure of the semantic web which provides facilities for integration, searching and sharing of information on the web. development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. by emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

The annotated streaming model was originally introduced by Chakrabarti, Cormode and McGregor [ICALP 09]. In this extension of the conventional streaming model, a single query on the stream has to be answered by a client with the help from an untrusted annotator that provides an annotated data stream (to be used with the input stream). Only one-way communication is allowed. We extend the model b...

Relation detection is a core component for Knowledge Base Question Answering (KBQA). In this paper, we propose a KB relation detection model via multi-view matching which utilizes more useful information extracted from question and KB. The matching inside each view is through multiple perspectives to compare two input texts thoroughly. All these components are designed in an endto-end trainable...

Question retrieval is a crucial subtask for community question answering. Previous research focus on supervised models which depend heavily on training data and manual feature engineering. In this paper, we propose a novel unsupervised framework, namely reduced attentive matching network (RAMN), to compute semantic matching between two questions. Our RAMN integrates together the deep semantic r...