Articles

Twitter is an online social networking, which has become an important source of information for marketing strategies and online reputation management. In this paper, we probe the problem of organization name disambiguation on twitter messages. This task is challenging due to the fact of lacking sufficient information both from organization …...

In this paper we report our work on a factoid question answering task that avoids named- entity recognition tool in the answer selection process. We use semantic analogical reason- ing to find the location of the final answer from a textual passage.We demonstrate that without employing any linguistic tools during …...

This study presents the development and evaluation of pattern matching refinements (PMRs) to automatic code switching point (CSP) detection. With all PMRs, evaluation showed an accuracy of 94.51%. This is an improvement to reported accuracy rates of dictionary-based approaches, which are in the range of 75.22%-76.26% (Yeong and Tan, 2010). …...

We describe a method to automatically extract social networks from literary texts. Similar to those in prior research, nodes represent characters found in the texts; edges connect them to other characters with whom they interact, and also display sentences describing their interactions. Furthermore, other nodes encode places and are connected …...

Among various important issues pertaining to the so-called right dislocated construction (RDC) in Korean are the basic word order and the grammatical relation the right dislocated (RDed) element assumes to the rest of the structure. In his series of papers, J.-S. Lee (2007a,b, 2008a, 2009a,b, 2010, 2011, 2012) proposes a …...

Live chats have become a popular form of communication, connecting people all over the globe. We believe that one of the simplest approaches for providing topic information to users joining a chat is keywords. In this paper, we present a method to automatically extract contextually relevant keywords for multi-party live …...

This paper is motivated by the observation that not all adjectives in Chinese have a canonical antonym. For example, most Chinese speakers choose to translate the English word dishonest into a word string bu chengshi ‘not honest’ instead of any antonym candidates of chengshi suggested in antonym dictionaries. Our discourse …...

This paper describes the first year of work constructing the Korean Sentiment Corpus, focusing on the theoretical background such as the annotation scheme. Our aim is to provide a solid theoretical background for the corpus which reflects the characteristics of the Korean language and includes approximately 8,050 sentences taken from …...

Identifying and extracting subjective informa- tion from News, Blogs and other user gen- erated content has lot of applications. Most of the earlier work concentrated on English data. But, recently subjectivity related re- search at sentence-level in other languages has increased. In this paper, we achieve sentence-level subjectivity classification us- …...

This study, based on a variety of data sources, investigates the linguistic and cultural characteristics associated with the black and white expressions among Taiwanese Mandarin, Taiwanese Hakka, and Taiwanese Southern Min. The meaning distributions of the data profile four types: prototypical meanings, metonymic extensions, metaphorical extensions and idiosyncratic examples; and …...

The particle no in Japanese exhibits two types of nominalization: “participant” and “situation” nominalization. Despite several motivations for a uniform account, only a few attempts have been made to address no-nominalization uniformly. In this paper, I shall develop a unified account within the formalism Dynamic Syntax, and show that a …...

In this paper, we study the effect of incorporat- ing morphological information on an Indone- sian (id) to English (en) Statistical Machine Translation (SMT) system as part of a prepro- cessing module. The linguistic phenomenon that is being addressed here is Indonesian cliti- cized words. The approach is to transform …...

With the rapid development of social media and social networks, spontaneously user gen- erated content like tweets and forum posts have become important materials for tracking people’s opinions and sentiments online. In this paper we investigate the limitations of tra- ditional linguistic-based approaches to senti- ment analysis when applied to …...

We introduce and describe ongoing work in our Indonesian dependency treebank. We de- scribed characteristics of the source data as well as describe our annotation guidelines for creating the dependency structures. Reported within are the results from the start of the In- donesian dependency treebank. We also show ensemble dependency …...

This paper implements and compares three different strategies to use English as pivot language for Chinese-Japanese patent translation: corpus enrichment, sentence pivot translation and phrase pivot translation. Our results show that both corpus enrichment and phrase pivot translation strategy outperform the baseline system, while the sentence pivot translation strategy failed …...

We propose a new method for entity set expan- sion that achieves highly accurate extraction by suppressing the effect of semantic drift; it requires a small amount of interactive infor- mation. We supplement interactive informa- tion to re-train the topic models (based on in- teractive Unigram Mixtures) not only the …...

In this paper, we study how to automatically extract and visualize food (or nutrition) and disease relationships from Chinese publications of Nutritional Genomics. Different from previous approaches that mostly apply handcrafted rules or co-occurrence patterns, we propose an approach using probabilistic models and domain knowledge. In particular, we first utilize …...

This study calculates the selectional prefer- ence strength between transitive verbs and their co-occurring objects, and thereby in- vestigates how much they are co-related to each other in Korean. The selectional pref- erence strength is automatically measured in a bottom-up way, and the outcomes are eval- uated in comparison with …...

Domain adaptation (DA), which involves adapting a classifier developed from source to target data, has been studied intensively in re- cent years. However, when DA for word sense disambiguation (WSD) was carried out, the optimal DA method varied according to the properties of the source and target data. This paper …...

Generative Lexicon theory (GL) establishes three mechanisms at work when a predicate selects an argument, i.e. pure selection, accommodation and type coercion. They are widely used in verbal selection of nouns in the entity domain. However, little attention has been devoted to the compositionality of [N1+event noun] type NN compounds. …...