Key-Sun Choi

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This work aims to extract causal relations that exist between two events expressed by noun phrases or sentences. The previous works for the causality made use of causal patterns such as causal verbs. We concentrate on the information obtained from other causal event pairs. If two event pairs share some lexical pairs and one of them is revealed to be(More)
There is increasing concern about English-Korean (E-K) transliteration recently. In the previous works, direct converting methods from English alphabets to Korean alphabets were a main research topic. In this paper, we present an E-K transliteration model using pronunciation and contextual rules. Unlike the previous works, our method uses phonetic(More)
In this paper, we describe a model of information retrieval system that is based on a document reranking method using document clusters. In the ®rst step, we retrieve documents based on the inverted®le method. Next, we analyze the retrieved documents using document clusters, and re-rank them. In this step, we use static clusters and dynamic cluster view.(More)
In Korean text, recently, the use of English words with or without phonetic translation is growing at high speed. To make matters worse the Korean transliterations of an English word may be very various. The mixed use of English words and their various transliterations may cause severe word mismatch problem in Korean information retrieval. There can be two(More)
Machine transliteration is a method for automatically converting words in one language into phonetically equivalent ones in another language. Machine transliteration plays an important role in natural language applications such as information retrieval and machine translation, especially for handling proper nouns and technical terms. Four machine(More)
We propose a technique for specifying universal quantification and existential quantification (combined with negation) in a two-dimensional (graphical) database query language. Unlike other approaches that provide set operators to simulate universal quantification, this technique allows a direct representation of universal quantification. We present(More)
1.Introduction In TREC-10, we participated in two tasks: batch filtering task in the filtering task, and question answering task. In question answering task, we participated in three sub-tasks (main task, list task, and context task). In batching filtering task, we experimented a filtering technique, which unifies the results of support vector machines for(More)