ACL
2003
14 years 27 days ago
2003
Recent work in Question Answering has focused on web-based systems that extract answers using simple lexicosyntactic patterns. We present an alternative strategy in which patterns...
FLAIRS
2006
14 years 27 days ago
2006
The SEMEX tool for question answering is presented. Its architecture and features for extracting from input text a network of concept nodes that index syntax-based logical forms, ...
EMNLP
2004
14 years 28 days ago
2004
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
CLIN
2004
14 years 28 days ago
2004
Research on Question Answering is focused mainly on classifying the question type and finding the answer. Presenting the answer in a way that suits the user's needs has recei...
ACL
2006
14 years 28 days ago
2006
This paper explores the role of information retrieval in answering "relationship" questions, a new class complex information needs formally introduced in TREC 2005. Sinc...
ACL
2006
2006
Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
14 years 28 days ago
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
LREC
2008
14 years 29 days ago
2008
This paper presents the sequential evaluation of the question answering system SQuaLIA. This system is based on the same sequential process as most statistical question answering ...
LREC
2008
14 years 29 days ago
2008
Question Answering systems are systems that enable the user to ask questions in natural language and to also receive an answer in natural language. Most existing systems, however,...
LREC
2008
14 years 29 days ago
2008
With the appearance of Semantic Web technologies, it becomes possible to develop novel, sophisticated question answering systems, where ontologies are usually used as the core kno...
LREC
2008
14 years 29 days ago
2008
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...