Articles

This paper focuses on tourism-related opinion mining, including tourism-related opinion detection and tourist-attraction target identification. The experimental data are blog articles labeled as being in the domestic tourism category in a blogspace. Annotators were asked to annotate the opinion polarity and the opinion target for every sentence. Different strategies and …...

In this research project, we propose a model, the Harmony Graph, to decompose music into a social-network-like structure according to its harmonies. The whole Harmony Graph network represents the harmony progressions in music. The Harmony Graph is utilized to visualize, distinguish, and generate music for four prepared corpora using social …...

In distributional semantics studies, there is a growing attention in compositionally determining the distributional meaning of word sequences. Yet, compositional dis- tributional models depend on a large set of parameters that have not been explored. In this paper we propose a novel approach to estimate parameters for a class of …...

Near-synonyms are useful knowledge re- sources for many natural language applica- tions such as query expansion for information retrieval (IR) and paraphrasing for text gen- eration. However, near-synonyms are not nec- essarily interchangeable in contexts due to their specific usage and syntactic constraints. Accordingly, it is worth to develop algorithms …...

Dative variation is a widely observed syn- tactic phenomenon in world languages (e.g. I gave John a book and I gave a book to John). It has been shown that which surface form will be used in a dative sen- tence is not a completely random choice, rather, it is …...

In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particu- lar view towards analyzing the importance of modeling contextual factors such as the larger discourse context and topic/domain information on translation performance. We describe the collection of a small cor- pus of …...

For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emo- tion lexicons for public use, we adopted a graph-based algorithm which ranks words according to a few seed emotion words. The ranking algorithm exploits the simi- larity between words, and …...

Dynamic sentiment ambiguous adjectives (DSAAs) like “large, small, high, low” pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method to automatically determine the semantic orientation of DSAAs within context. The task is reduced to sentiment classification of target nouns, which we refer to sentiment expectation instead …...

The character-based tagging approach is a dominant technique for Chinese word segmentation, and both discrimi- native and generative models can be adopted in that framework. However, generative and discriminative charac- ter-based approaches are significantly different and complement each other. A simple joint model combining the character-based generative model and the …...

A range of Natural Language Process- ing tasks involve making judgments about the semantic relatedness of a pair of sen- tences, such as Recognizing Textual En- tailment (RTE) and answer selection for Question Answering (QA). A key chal- lenge that these tasks face in common is the lack of explicit …...

Question detection serves great purposes in the cQA question retrieval task. While detecting questions in standard language data corpus is relatively easy, it becomes a great challenge for online content. On- line questions are usually long and infor- mal, and standard features such as ques- tion mark or 5W1H words …...

As tokenization is usually ambiguous for many natural languages such as Chinese and Korean, tokenization errors might po- tentially introduce translation mistakes for translation systems that rely on 1-best to- kenizations. While using lattices to of- fer more alternatives to translation sys- tems have elegantly alleviated this prob- lem, we …...

Discriminating vandalism edits from non-vandalism edits in Wikipedia is a challenging task, as ill-intentioned edits can include a variety of content and be expressed in many different forms and styles. Previous studies are limited to rule-based methods and learning based on lexical features, lacking in linguistic analysis. In this paper, …...

Single-document summarization and multi- document summarization are very closely re- lated tasks and they have been widely investi- gated independently. This paper examines the mutual influences between the two tasks and proposes a novel unified approach to si- multaneous single-document and multi- document summarizations. The mutual influ- ences between the …...

Strategic business decision making in- volves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, often by analyzing doc- uments from the World Wide Web. We present an efficient information extrac- tion chain to automate this complex nat- ural language …...

This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly considers conjunctions among frequent features in computing the poly- nomial kernel, to combine the merits of linear and kernel-based training. To im- prove the scalability of …...

Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) systems. We present a simple, automatic method to learn rules that reorder source sentences to more closely match the target language word or- der …...

Nocuous ambiguity occurs when a lin- guistic expression is interpreted differ- ently by different readers in a given con- text. We present an approach to auto- matically identify nocuous ambiguity that is likely to lead to misunderstand- ings among readers. Our model is built on a machine learning architecture. It …...

The precise identification of light verb constructions is crucial for the successful functioning of several NLP applications. In order to facilitate the development of an algorithm that is capable of recogniz- ing them, a manually annotated corpus of light verb constructions has been built for Hungarian. Basic annotation guidelines and …...

A distributed system is described that re- liably mines parallel text from large cor- pora. The approach can be regarded as cross-language near-duplicate detec- tion, enabled by an initial, low-quality batch translation. In contrast to other ap- proaches which require specialized meta- data, the system uses only the textual con- …...