Articles

. We bootstrapped Chinese WordNet with semantic domain labels of WordNet Domains for constructing a language resource called Chinese WordNet Domains. The bootstrapping methods work from three aspects: 1) Princeton WordNet alignment, 2) lexical semantic relations and 3) domain taxonomy mapping. Experimental results of our proposed bootstrapping based domain predication …...

. The statistical models used for dialogue systems need annotated data (dialogues) to infer their statistical parameters. Dialogues are usually annotated in terms of Dialogue Acts (DA). The annotation problem can be attacked with statistical models, that avoid annotating the dialogues from scratch. Most previous works on automatic statistical annotation …...

. This paper proposes a method that extracts term pairs satisfying is-a relations or part-of relations from a mass corpus using pairs of patterns sharing a term. We extracted reliable single patterns and pattern pairs using some term pairs that satisfy the target relation, and extracted reliable term pairs using …...

. This study investigates the binding behavior of the Korean anaphor ‘caki’, which has been regarded thus far as a long-distance anaphor (LDA). However, given that even local anaphors can be bound long-distance when they function as exempt anaphors in certain languages (Pollard and Sag 1992; Kim and Yoon 2009), …...

. In this paper, a layer-based projective dependency parsing approach is presented. This novel approach works layer by layer from the bottom up. Inside the layer the dependency graphs are searched exhaustively while between the layers the parser state transfers deterministically. Taking the dependency layer as the parsing unit, the …...

. In this paper we present a simple approach to discover gender and animacy knowledge for person mention detection. We learn noun-gender and noun-animacy pair counts from web-scale n-grams using specific lexical patterns, and then apply confidence estimation metrics to filter noise. The selected informative pairs are then used to …...

. Lakoff (1975), a pioneering study of women’s language, suggested a tendency for women to use more of hedges and intensifiers. Subsequent studies still attract some opposing (Fahy, 2002; Nemati and Bayer, 2007) or reinforcing (Bradac et al., 1995; Navalainen, 2008) views. This paper shows how a key word analysis …...

. We introduce a method for learning to assign suitable sentiment ratings to review articles. In our approach, reviews are transformed into collections of n-gram and semantic word class features aimed at maximizing the probability of classifying them into accurate ratings. The method involves automatically segmenting review articles into sentences …...

. Alternating Structure Optimization (ASO) is a recently proposed linear Multi- task Learning algorithm. Although its effective has been verified in both semi-supervised as well as supervised methods, yet they necessitate taking external resource as a prerequisite. Therefore, feasibility of employing ASO to further improve the performance merely rests on …...

. In this paper, we discuss the summarization for supporting a user’s judgment on the credibility of information on the Web. In general, if a statement contradicts another statement, the credibility of either of the statements decreases. However, these opposing statements may coexist under certain situations, and presenting such situations …...

. The Phrase-Based Statistical Machine Translation (PB-SMT) model has recently begun to include source context modeling, under the assumption that the proper lexical choice of an ambiguous word can be determined from the context in which it appears. Various types of lexical and syntactic features such as words, parts-of-speech, and …...

. We present in this paper a supervised topic model for multi-class classification problems. To incorporate supervisory information, we jointly model documents and their labels in a graphical model called LogisticLDA, which mathematically integrates a genera- tive model and a discriminative model in a principled way. By maximizing the posterior …...

. Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. We …...

. In this article, we report significant findings resulting from an investigation into the correlation between adjective density, calculated as the proportion of adjectives in word tokens, and degrees of text formality as part of an attempt to examine the potential application of adjectives in automatic text classification and identification. …...

. This paper presents a novel approach to query-focused multi-document summarization. As a good biased summary is expected to keep a balance among query relevance, content salience and information diversity, the approach first makes use of both the content feature and the relationship feature to select a number of sentences …...

. Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appropriate syntactic category called part of speech. POS tagging is a very important preprocessing task for language processing activities. In this paper, we report about our work on POS tagging for Bengali …...

. This paper investigates how to best couple hand-annotated data with information extracted from an external lexical resource to improve POS tagging performance. Focusing on French tagging, we introduce a maximum entropy conditional sequence tagging system that is enriched with information extracted from a morphological resource. This system gives a …...

. The paper proposes an integrated framework for web personal information extraction, such as biographical information and occupation, and those kinds of information are necessary to further construct a social network (a kind of semantic web) for a person. As web data is heterogeneous in nature, most of IE systems, …...

. As a key factor in English grammar checking, subject-verb agreement evaluation plays an important part in assessing translated English texts. In this paper, we propose a hybrid method for subject-verb agreement evaluation on dependency grammars with the processing of phrase syntactic parsing and sentence simplification for subject-verb discovery. Experimental …...

. The strict character of most of the existing Machine Translation (MT) evaluation metrics does not permit them to capture lexical variation in translation. However, a central issue in MT evaluation is the high correlation that the metrics should have with human judg- ments of translation quality. In order to …...