Add to ORKGThis paper describes the retrieval experiments for the main task and list task of the TREC-2002 question-answering track. The question answering system described automatically finds answers to questions in a large document collection. The system uses a two-stage retrieval approach to answer finding based on matching of named entities, linguistic patterns, keywords, and the use of a new inference module. In answering a question, the system carries out a detailed query analysis that produces a logical query representation, an indication of the question focus, and answer clue words
The TREC 2003 question answering track contained two tasks, the passages task and the main task. In ...
We present a question answering system with a hybrid design, combining techniques from knowledge rep...
AnswerFinder combines lexical, syntactic, and semantic information in various stages of the question...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questi...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questi...
This paper describes a question answering system that automatically finds answers to questions in a ...
This paper describes a question answering system that automatically finds answers to questions in a ...
The importance of Question Answering is growing with the expansion of information and text documents...
This article provides a comprehensive and comparative overview of question answering technology. It ...
We present a question answering system that combines information at the lexical, syntactic, and sema...
In TREC 2007, Language Computer Corporation ex-plored how a new, semantically-rich framework for in-...
Research on question answering dates back to the 1960s but has more recently been revisited as part ...
Answering open-domain factual questions requires Natural Language processing for refining document s...
The TREC 2004 Question Answering track contained a single task in which question series were used to...
This paper describes the architecture, operation and results obtained with the Question Answering pr...
The TREC 2003 question answering track contained two tasks, the passages task and the main task. In ...
We present a question answering system with a hybrid design, combining techniques from knowledge rep...
AnswerFinder combines lexical, syntactic, and semantic information in various stages of the question...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questi...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questi...
This paper describes a question answering system that automatically finds answers to questions in a ...
This paper describes a question answering system that automatically finds answers to questions in a ...
The importance of Question Answering is growing with the expansion of information and text documents...
This article provides a comprehensive and comparative overview of question answering technology. It ...
We present a question answering system that combines information at the lexical, syntactic, and sema...
In TREC 2007, Language Computer Corporation ex-plored how a new, semantically-rich framework for in-...
Research on question answering dates back to the 1960s but has more recently been revisited as part ...
Answering open-domain factual questions requires Natural Language processing for refining document s...
The TREC 2004 Question Answering track contained a single task in which question series were used to...
This paper describes the architecture, operation and results obtained with the Question Answering pr...
The TREC 2003 question answering track contained two tasks, the passages task and the main task. In ...
We present a question answering system with a hybrid design, combining techniques from knowledge rep...
AnswerFinder combines lexical, syntactic, and semantic information in various stages of the question...