This paper reports our submissions to community question answering task in SemEval2015, which consists of two subtasks: (1) predict the quality of answers to given question as good, bad, or potentially relevant and (2) identify yes, no or unsure response to a given YES/NO question based on the good answers identified by subtask 1. For both subtasks, we adopted supervised classification method a...

Question answering (QA) is the study on the methodology that returns exact answers to natural language questions. This paper attempts to increase the coverage and accuracy of QA systems by narrowing the semantics gap between questions with terms written in abbreviations and their potential answers. To achieve this objective, the processing includes (1) identifying terms that might be abbreviati...

In this paper, we have proposed a rule based Automated QuestionAnswering system which aims at delivering concise information that contains answers to user questions. The context would be the domain specific systems. This technique is the solution to the problem of unlimited or irrelevant data which is bombarded on the user as a result of his query on any search engine. Given a question, our sys...

Is There an Answer? is intended to serve as a forum in which readers to IUBMB Life may pose questions of the type that intrigue biochemists but for which there may be no obvious answer or one may be available but not widely known or easily accessible. Readers are invited to e-mail [email protected] if they have questions to contribute or if they can provide answers to questions that are provi...

In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in a batch mode. Experiments show that the answers to the many of the questions in the series usually have a high degree of co-occurrence in relevant document passages. This feature sometimes can’t be easily utilized in a...

Traditional question answering systems adopt the following framework: parsing questions, searching for relevant documents, and identifying/generating answers. However, this framework does not work well for questions with hidden assumptions and implicatures. In this paper, we describe a novel idea, a cascading guidance strategy, which can not only identify potential traps in questions but furthe...

Daunting for users to formulate precise queries and search correct answers. Therefore, approximate matching is introduced to trot out the problem in respondent users’ queries, and this matching might be addressed by 1st reposeful the structure and content of a given question, so longing for answers that match the relaxed queries. Ranking and returning the foremost relevant results of a question...

Grahne et al. have presented a graph algorithm for evaluating a subset of recursive queries [14], [15]. This method consists of two phases. In the first phase, the method transforms a linear binary-chain program into a set of equations over expressions containing predicate symbols. In the second phase, a graph is constructed from the equations and the answers are produced by traversing the rele...

In this paper, we argue that layering a question answering system on the Web of Data based on user preferences, leads to the derivation of more knowledge from external sources and customisation of query results based on user’s interests. As various users may find different things relevant because of different preferences and goals, we can expect different answers to the same query. We propose a...

Platforms for community-based Question Answering (cQA) are playing an increasing role in the synergy of information-seeking and social networks. Being able to categorize user questions is very important, since these categories are good predictors for the underlying question goal, viz. informational or subjective. Furthermore, an effective cQA platform should be capable of detecting similar past...