Articles

This paper proposes a probabilistic model for associative anaphora resolution in Japanese. Associative anaphora is a type of bridging anaphora, in which the anaphor and its antecedent are not coref- erent. Our model regards associative anaphora as a kind of zero anaphora and resolves it in the same manner as …...

This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation classification. First, the training data is partitioned into several strata according to relation types/subtypes, then relation instances are randomly sampled from each stratum to form the initial …...

There is plenty of evidence that emotion analysis has many valuable applications. In this study a blog emotion corpus is con- structed for Chinese emotional expression analysis. This corpus contains manual an- notation of eight emotional categories (ex- pect, joy, love, surprise, anxiety, sorrow, angry and hate), emotion intensity, emo- …...

Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retraining the classifier. It is often used in situations where labeled training data is scarce but unlabeled data is abundant. In this …...

We propose a novel objective function for dis- criminatively tuning log-linear machine trans- lation models. Our objective explicitly op- timizes the BLEU score of expected n-gram counts, the same quantities that arise in forest- based consensus and minimum Bayes risk de- coding methods. Our continuous objective can be optimized using …...

Distinguishing speculative statements from factual ones is important for most biomedical text mining applications. We introduce an approach which is based on solving two sub-problems to identify speculative sentence fragments. The first sub-problem is identifying the speculation keywords in the sentences and the second one is resolving their linguistic scopes. …...

This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependency parse trees whereas se- mantics concerns to entity types and lex- ical sequences. We investigate the effec- tiveness of such representations in the …...

This paper presents an approach to au- tomatic acquisition of the argument- predicate relations from a semantically annotated corpus. We use SALSA, a German newspaper corpus manually an- notated with role-semantic information based on frame semantics. Since the rel- atively small size of SALSA does not al- low to estimate …...

This paper presents an investigation of the relation between words and their gender in two gendered languages: German and Ro- manian. Gender is an issue that has long preoccupied linguists and baffled language learners. We verify the hypothesis that gender is dictated by the general sound patterns of a language, …...

We propose a novel language-independent approach for improving statistical ma- chine translation for resource-poor lan- guages by exploiting their similarity to resource-rich ones. More precisely, we improve the translation from a resource- poor source language X1 into a resource- rich language Y given a bi-text contain- ing a limited number …...

In this research we aim to detect sub- jective sentences in multimodal conversa- tions. We introduce a novel technique wherein subjective patterns are learned from both labeled and unlabeled data, us- ing n-gram word sequences with vary- ing levels of lexical instantiation. Ap- plying this technique to meeting speech and …...

This paper presents preliminary results on the detection of cultural differences from people’s experiences in various countries from two perspectives: tourists and lo- cals. Our approach is to develop proba- bilistic models that would provide a good framework for such studies. Thus, we pro- pose here a new model, ccLDA, …...

The use of lexical semantic knowledge in information retrieval has been a field of ac- tive study for a long time. Collaborative knowledge bases like Wikipedia and Wik- tionary, which have been applied in com- putational methods only recently, offer new possibilities to enhance information retrieval. In order to find …...

This paper connects two research areas: auto- matic tagging on the web and statistical key- phrase extraction. First, we analyze the quality of tags in a collaboratively created folksonomy using traditional evaluation techniques. Next, we demonstrate how documents can be tagged automatically with a state-of-the-art keyphrase extraction algorithm, and further …...

The work presented in this paper explores a supervised method for learning a prob- abilistic model of a lexicon of VerbNet classes. We intend for the probabilis- tic model to provide a probability dis- tribution of verb-class associations, over known and unknown verbs, including pol- ysemous words. In our approach, …...

Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work general- izes the use of VE to undirected graph- ical models and, in particular, to condi- tional random fields (CRFs). We show that VE can be naturally encoded into …...

This paper proposes a novel method to refine the grammars in parsing by utiliz- ing semantic knowledge from HowNet. Based on the hierarchical state-split ap- proach, which can refine grammars au- tomatically in a data-driven manner, this study introduces semantic knowledge into the splitting process at two steps. Firstly, each …...

This paper employs morphological struc- tures and relations between sentence seg- ments for opinion analysis on words and sentences. Chinese words are classified into eight morphological types by two proposed classifiers, CRF classifier and SVM classifier. Experiments show that the injection of morphological information improves the performance of the word …...

In this paper, we present a semi-supervised method for automatic speech act recogni- tion in email and forums. The major chal- lenge of this task is due to lack of labeled data in these two genres. Our method leverages labeled data in the Switchboard- DAMSL and the Meeting Recorder Dia- …...

We present a method for detecting and correcting multiple real-word spelling er- rors using the Google Web 1T 3-gram data set and a normalized and modified ver- sion of the Longest Common Subsequence (LCS) string matching algorithm. Our method is focused mainly on how to im- prove the detection recall …...