This paper presents a syntax-based formalism for representing atomic propositions extracted from textual documents. A method is described for constructing a network of concept nodes for indexing such logical forms based on the discourse entities they contain. The decomposition of meaningful questions into Boolean combinations of question patterns using the same formalism is presented, in which free variables represent the desired answers. A method is described for using this formalism for robust question answering using the concept network and WordNet synonym, hypernym, and antonym relationships. Finally, the encouraging performance of an implementation of this formalism against the factoid questions from the 2005 Text Retrieval Conference,...
AbstractDomain ontology is used as a reliable source of knowledge in information retrieval systems s...
We present a question answering system that combines information at the lexical, syntactic, and sema...
This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language...
Question answering (QA) stands squarely along the path from document retrieval to text understanding...
The SEMEX tool for question answering is presented. Its architecture and features for extracting fro...
The SEMEX tool tor question answering is presented. Its architecture and features for extracting fro...
This paper describes the architecture, operation and results obtained with the Question Answering pr...
Finding textual answers to open-domain questions in large text collections is a difficult problem. I...
AbstractWe present an implemented approach for domain-restricted question answering from structured ...
We present an implemented approach for domain-restricted question answering from structured knowledg...
Abstract. In this project we propose a model for answer extraction component of a question answering...
We present a system that couples techniques belonging to Information Extraction and deep linguistic ...
Semantic network model for representing data and knowledge was analysed. Selection of this model for...
This article provides a comprehensive and comparative overview of question answering technology. It ...
In the field of information extraction and automatic question answering access to a domain ontology ...
AbstractDomain ontology is used as a reliable source of knowledge in information retrieval systems s...
We present a question answering system that combines information at the lexical, syntactic, and sema...
This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language...
Question answering (QA) stands squarely along the path from document retrieval to text understanding...
The SEMEX tool for question answering is presented. Its architecture and features for extracting fro...
The SEMEX tool tor question answering is presented. Its architecture and features for extracting fro...
This paper describes the architecture, operation and results obtained with the Question Answering pr...
Finding textual answers to open-domain questions in large text collections is a difficult problem. I...
AbstractWe present an implemented approach for domain-restricted question answering from structured ...
We present an implemented approach for domain-restricted question answering from structured knowledg...
Abstract. In this project we propose a model for answer extraction component of a question answering...
We present a system that couples techniques belonging to Information Extraction and deep linguistic ...
Semantic network model for representing data and knowledge was analysed. Selection of this model for...
This article provides a comprehensive and comparative overview of question answering technology. It ...
In the field of information extraction and automatic question answering access to a domain ontology ...
AbstractDomain ontology is used as a reliable source of knowledge in information retrieval systems s...
We present a question answering system that combines information at the lexical, syntactic, and sema...
This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language...