Articles

The study of word classes has a history of over 4000 years, and the word class problem in over 1000 analytic languages like Modern Chinese can be seen as the Goldbach Conjecture in linguistics. This paper first outlines the existing problems in the POS tagging of Modern Chinese corpora with …...

This paper develops a technique that unfolds public mood on social issues from real-time so- cial media for sector index prediction. We first propose a low-dimensional support vector ma- chine (SVM) classifier using surrounding infor- mation for twitter sentiment classification. Then, we generate public mood time series by aggre- gating …...

Suicide is one of major public health problems worldwide. Traditionally, suicidal ideation is assessed by surveys or interviews, which lacks of a real-time assessment of personal men- tal state. Online social networks, with large amount of user-generated data, offer opportu- nities to gain insights of suicide assessment and prevention. In …...

After the Great East Japan Earthquake in 2011, an abundance of false rumors were dis- seminated on Twitter that actually hindered rescue activities. This work presents a method for recognizing the negation of predicates on Twitter to find Japanese tweets that refute false rumors. We assume that the predicate “oc- …...

Recognizing spatial information associated with events expressed in natural language text is essential for the proper interpretation of such events. However, the associations between events and spatial information found throughout the text have been much less studied than other types of spatial association as looked into in SpatialML and ISO-Space. …...

In this paper, a cross-lingual pseudo relevance feedback (PRF) model based on weak relevant topic alignment (WRTA) is proposed for cross language query expansion on unparallel web pages. Topics in different languages are aligned on the basis of translation. Useful ex- pansion terms are extracted from weak relevant topics according …...

Online user reviews describing various prod- ucts and services are now abundant on the web. While the information conveyed through review texts and ratings is easily comprehensi- ble, there is a wealth of hidden information in them that is not immediately obvious. In this study, we unlock this hidden value …...

In this paper we propose a method for a rat- ing prediction task. Each review consists of several ratings for a product, namely aspects. To predict the ratings of the aspects, we uti- lize not only aspect words, but also aspect sen- tences. First, our method detects aspect sen- tences …...

In regard to document classification, semi- supervised learning using the Naive Bayes method and EM algorithm was a great suc- cess, and we refer to this method as NBEM in this paper. Although NBEM is also effec- tive for domain adaption of document classifi- cation, there is still room for …...

Paraphrase detection has numerous important applications in natural language processing (such as clustering, summarizing, and detect- ing plagiarism). One approach to detecting paraphrases is to use predicate argument tu- ples. Although this approach achieves high paraphrase recall, its accuracy is generally low. Other approaches focus on matching similar words, but …...

Event-specific twitter streams often reveal sudden spikes triggered by users’ upsurge of emotions to crucial moments in the real world. Although upsurge of emotion is usually identi- fied by a sudden rise in the number of tweets, the detection for diverse event streams is not a trivial task. In this …...

In this paper, we propose a method for ex- tracting trouble information from Twitter. One useful approach is based on machine learn- ing techniques such as SVMs. However, trou- ble information is a fraction of a percent of all tweets on Twitter. In general, imbalanced distribution is not suitable for …...

Our purpose is to use Twitter data to infer per- sonal values in marketing for Japanese con- sumers. In this paper, we reintroduce our per- sonal value system and apply the model for in- ferring personal values with tweets. To adapt the model to the rapid change of wording in …...

Due to the increasing popularity of microblog- ging platforms (e.g., Twitter), detecting real- time news from microblogs (e.g., tweets) has recently drawn a lot of attention. Most of the previous work on this subject detect news by analyzing propagation patterns of microblogs. This approach has two limitations: (i) many non-news …...

Neural network language models (NNLMs) have been shown to outperform traditional n- gram language model. However, too high computational cost of NNLMs becomes the main obstacle of directly integrating it into pinyin IME that normally requires a real-time response. In this paper, an efficient solution is proposed by converting NNLMs …...

For relieving data sparsity problem, Hierarchi- cal Word Sequence (abbreviated as HWS) lan- guage model, which uses word frequency in- formation to convert raw sentences into spe- cial n-gram sequences, can be viewed as an effective alternative to normal n-gram method. In this paper, we use directional information to make …...

This paper probes into the issue of de- verbalization in Chinese by starting from two potential and innovative uses of de- verbalization in Mainland Mandarin and Taiwan Mandarin, respectively. Then, we move to the exploration of various nominal categories in Chinese, with regard to their grammatical behaviors as well as …...

The cause of island effects has evoked considerable debate within syntax and other fields of linguistics. The two competing approaches stand out: the grammatical analysis; and the working-memory (WM)-based processing analysis. In this paper we report three experiments designed to test one of the premises of the WM-based processing analysis: …...

This paper develops a Case/case-theoretic acco unt for what Merchant (2008) calls voice mism atch in ellipsis constructions of English. Merch ant (ibid.) reports that VP ellipsis as an elision o f smaller size VP allows voice mismatch, but Ps eudogapping and Sluicing as an elision of bigge r size …...

Clausal izyooni ‘than’-comparatives in Japanese allow izyooni ‘than’-clauses with their degree positons filled. I consider them a degree version of Internally Headed Relative Clauses (IHRCs). In this preliminary study, I adopt Gross and Landman’s (2012) Choose Role analysis of IHRCs in Japanese and propose a similar functional category Choose Degree, …...