Answer

Retrieval Answer Question AQUAINT Proximity Based Answer Extraction Redundancy Based Answer Extraction Answer Extraction Question Classification WordNet

Our QA system consists of two different components. One is for the factoid and list questions, and the other is for the other questions. The components are processed individually, and each result is combined into our submitted run. For the factoid questions, we have tried to find answers by proximity-based named entity search. Given a question, fine-grained named entities for candidate answers ...

Answer Extraction

Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user’s query. This paper describes a system that attempts to retrieve a much smaller section of text, namely, a direct answer to a user’s question. The SMART IR system is used to extract a ranked set of passages that are relevant to the query. Entities are extracted from these pass...

Answer Sets

This chapter is an introduction to Answer Set Prolog a language for knowledge representation and reasoning based on the answer set/stable model semantics of logic programs [44, 45]. The language has roots in declarative programing [52, 65], the syntax and semantics of standard Prolog [24, 23], disjunctive databases [66, 67] and nonmonotonic logic [79, 68, 61]. Unlike “standard” Prolog it allows...

Puzzle - Answer

Answer Sets and the Language of Answer Set Programming

Answer set programming is a declarative programming paradigm based on the answer set semantics of logic programs. This introductory article provides the mathematical background for the discussion of answer set programming in other contributions to this special issue.