Question Answering (QA) targets answering questions defined in natural language.
Question Answering Systems offer an automated approach to procuring solutions to queries …

We explore probabilistic lexico-syntactic pattern matching, also known as soft pattern
matching, in a definitional question answering system. Most current systems use regular …

Factoid question answering is the most widely studied task in question answering. In this
paper, we survey several different techniques to answer extraction for factoid question …

Graphical models have been applied to various information retrieval and natural language
processing tasks in the recent literature. In this paper, we apply a probabilistic graphical …

This paper explores probabilistic lexico-syntactic pattern matching, also known as soft
pattern matching. While previous methods in soft pattern matching are ad hoc in computing …

Motivation: Ontologies and taxonomies have proven highly beneficial for biocuration. The
Open Biomedical Ontology (OBO) Foundry alone lists over 90 ontologies mainly built with …

Breaking news often contains timely definitions and descriptions of current terms,
organizations and personalities. We utilize such web sources to construct definitions for …

This paper is concerned with the problem of definition search. Specifically, given a term, we
are to retrieve definitional excerpts of the term and rank the extracted excerpts according to …

One particular type of question which was made the focus of its own subtask within the
TREC2003 QA track was the definition question (“What is X?” or “Who is X?”). One of the …

Question Answering (QA) is the task of automatically generating answers to natural
language questions from humans, serving as one of the primary research areas in natural …