When learning grammar of the new language, a teacher should routinely check student’s exercises for grammatical correctness. The paper describes a method of automatically detecting and reporting grammar mistakes, regarding an order of tokens in the response. It could report extra tokens, missing tokens and misplaced tokens. The method is useful when teaching language, where order of tokens is i...

We present an implementation of pstable model semantics. Our implementation uses the well known tools: MiniSat and Lparse.

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We examine the practicality for a user of using Answer Set Programming (ASP) for representing logical formalisms. Our example is a formalism aiming at capturing causal explanations from causal information. We show the naturalness and relative efficiency of this translation job. We are interested in the ease for writing an ASP program. Limitations of the earlier systems made that in practice, th...

Tables in technical papers often provide much useful information that is not present in text. This paper focuses on the specific problem of automated table reading (ATR): automating the interpretation and extraction of information from proteinreaction information (PRI) tables in the molecular biology literature (MBL), in the context of a general knowledge-based approach to automating table read...

This paper describes a new architecture for ATR classifiers based on the premise that the pose of the target is known within a precision of 10 degrees. We recently developed such a pose estimator. The advantage of our classifier is that the input space complexity is decreased by the information of the pose, which enables fewer features to classify targets with higher degree of accuracy. Moreove...

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...

From the ocean of text data, Extracting the important and query based text is a big NLP problem. It is a difficult task, as it requires mining text content in shortest answer length accurately and efficiently. This paper describes an attempt toward solving this problem with an intelligent approach. The proposed idea is based on the human intelligence-once a document is seen; it takes less time ...