This paper studies the problem of emotion classification in microblog texts. Given a microblog text which consists of several sentences, we classify its emotion as anger, disgust, fear, happiness, like, sadness or surprise if available. Existing methods can be categorized as lexicon based methods or machine learning based methods. However, due to some intrinsic characteristics of the microblog ...

This paper presents a maximum entropy models based approach to punctuation prediction and correction for Chinese opinionated texts. This study involves three parts. First, we conduct a survey of punctuation errors in Chinese opinionated texts based on a corpus of online product reviews. Then, we propose a maximum entropy sequence labeling approach to Chinese punctuation prediction. Finally, we ...

political and social isolation of women in pre-islamic period and their blurred role in social and political life changed with the advent of islam. however, in the era of the caliphs, under the influence of jewish and christian cultural elements and the revival of certain pre-islamic arabian traditions, the page was turned and the situation is well reflected in historical texts and traditions. ...

In this paper, we report on the usage of Japanese segmented texts and analyze the submitted search results to NTCIR Workshop 2, which used these texts. In these texts, each sentence is segmented into terms and term components (similar to phrases and words). However, the sizes of terms are inconsistent in the texts; e.g., some terms that should be decomposed into term components remain as terms....

For low-resource languages like Uyghur, data sparseness is always a serious problem in related information processing, especially in some tasks based on parallel texts. To enrich bilingual resources, we detect Chinese and Russian loan words from Uyghur texts according to phonetic similarities between a loan word and its corresponding donor language word. In this paper, we propose a novel approa...

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This paper discusses aspects of the planning of explanatory texts for logic based systems. It presents a method for deriving Natural Language text plans from Natural Deduction-based structures. This approach allows for the planning of explanatory texts in a general-purpose logic based system framework, ensuring a greater degree of portability across domains.

Negation is often found more frequent in dialogue than commonly written texts, such as literary texts. Furthermore, the scope and focus of negation depends on context in dialogues than other forms of texts. Existing negation datasets have focused on non-dialogue texts such as literary texts where the scope and focus of negation is normally present within the same sentence where the negation is ...

This paper reports on the descriptive results of an experiment comparing automatically detected reflective and not-reflective texts against human judgements. Based on the theory of reflective writing assessment and their operationalisation five elements of reflection were defined. For each element of reflection a set of indicators was developed, which automatically annotate texts regarding refl...