Articles

. The entity and relation recognition, i.e. (1) assigning semantic classes to entities in a sentence, and (2) determining the relations held between entities, is an important task in areas such as information extraction. Subtasks (1) and (2) are typically carried out sequentially, but this approach is problematic: the errors …...

. We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In agglutinative languages such as Korean and Japanese, a rule-based chunking method is predominantly used for its sim- plicity and efficiency. A hybrid …...

. Partial parsing techniques try to recover syntactic informa- tion efficiently and reliably by sacrificing completeness and depth of anal- ysis. One of the difficulties of partial parsing is finding a means to extract the grammar involved automatically. In this paper, we present a method for automatically extracting partial parsing …...

. In this paper, we first discuss a problem of developing a knowledge base by using natural language documents: wrong informa- tion in natural language documents. It is almost inevitable that natural language documents, especially web documents, contain wrong informa- tion. As a result, it is important to investigate a …...

. This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase acquisition in that 1) it removes the assumptions on the quality of the input data, by using inherently noisy, unreliable Web documents rather than clean, …...

. We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of words, lexico-syntactic patterns, and HTML tags. To evaluate the attribute words, we also es- tablish criteria and a procedure …...

. Previous works have suggested that the uncertainty of tokens coming after a sequence helps determine whether a given position is at a context boundary. This feature of language has been applied to unsupervised text segmentation and term extraction. In this paper, we fundamentally verify this feature. An experiment was …...

. We present a preliminary study of several parser adaptation techniques evaluated on the GENIA corpus of MEDLINE abstracts [1,2]. We begin by observing that the Penn Treebank (PTB) is lexically im- poverished when measured on various genres of scientific and techni- cal writing, and that this significantly impacts parse …...

. Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling the image contents with a pre-defined set of keywords which are exploited to represent the image semantics. A Maximum Entropy Model-based approach to the …...

. For cross-language text retrieval systems that rely on bilingual dic- tionaries for bridging the language gap between the source query language and the target document language, good bilingual dictionary coverage is imperative. For terms with missing translations, most systems employ some approaches for expanding the existing translation dictionaries. In …...

. This paper explores two linguistically motivated restrictions on the set of words used for topic tracking on newspaper articles: named entities and headline words. We assume that named entities is one of the linguistic features for topic tracking, since both topic and event are related to a specific place …...

. Traditional text categorization is usually a topic-based task, but a subtle demand on information retrieval is to distinguish between positive and negative view on text topic. In this paper, a new method is explored to solve this problem. Firstly, a batch of Concerned Concepts in the researched domain is …...

. Japanese relative clause constructions (RCC’s) are defined as being the NP’s of structure ‘S NP’, noting the lack of a relative pronoun or any other explicit form of noun-clause demarcation. Japanese relative clause modification should be classified into at least two major semantic types: case-slot gapping and head restrictive. …...

This research is aimed at the problem of disambiguating toponyms (place names) in terms of a classification derived by merging information from two publicly available gazetteers. To establish the dif- ficulty of the problem, we measured the degree of ambiguity, with respect to a gazetteer, for toponyms in news. We …...

Recent systems have been developed for sentiment classification, opinion recogni- tion, and opinion analysis (e.g., detect- ing polarity and strength). We pursue an- other aspect of opinion analysis: identi- fying the sources of opinions, emotions, and sentiments. We view this problem as an information extraction task and adopt a hybrid …...

This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neu- tral or polar and then disambiguates the polarity of the polar expressions. With this approach, the system is able to automat- ically identify the contextual polarity for a large subset of sentiment …...

Consumers are often forced to wade through many on-line reviews in order to make an informed prod- uct choice. This paper introduces OPINE, an unsupervised information- extraction system which mines re- views in order to build a model of im- portant product features, their evalu- ation by reviewers, and their …...

We present a practically unsupervised learning method to produce single-snippet answers to definition questions in ques- tion answering systems that supplement Web search engines. The method exploits on-line encyclopedias and dictionaries to generate automatically an arbitrarily large number of positive and negative definition examples, which are then used to train …...

A content selection component deter- mines which information should be con- veyed in the output of a natural language generation system. We present an effi- cient method for automatically learning content selection rules from a corpus and its related database. Our modeling frame- work treats content selection as a col- …...

Question classification is an important step in factual question answering (QA) and other dialog systems. Several at- tempts have been made to apply statistical machine learning approaches, including Support Vector Machines (SVMs) with sophisticated features and kernels. Curi- ously, the payoff beyond a simple bag-of- words representation has been small. …...