Articles

We present a phrase-based method to ex- tract parallel fragments from the compa- rable corpora. We do this by introducing a force decoder based on the hierarchical phrase-based (HPB) translation model to detect the alignments in comparable sen- tence pairs. This method enables us to ex- tract useful training data …...

This paper proposes an example driven ap- proach to improve the quality of MT system outputs. Specifically, We extend the system combination method in SMT to combine the examples by two strategies: 1) estimating the confidence of examples by the similarity be- tween source input and the source part of …...

We present a method of statistical dia- logue management using a directed inten- tion dependency graph (IDG) in a par- tially observable Markov decision pro- cess (POMDP) framework. The transition probabilities in this model involve infor- mation derived from a hierarchical graph of intentions. In this way, we combine the …...

We present a novel scheme of predicate argument structure analysis that can be trained from partially annotated corpora. In order to allow partial annotation, this semantic role labeler does not require word dependency information. The advan- tage of partial annotation is that it allows for smooth domain adaptation of training …...

This paper presents an extension of the standard approach used for bilingual lex- icon extraction from comparable corpora. We study the ambiguity problem revealed by the seed bilingual dictionary used to translate context vectors and augment the standard approach by a Word Sense Dis- ambiguation process. Our aim is to …...

Many NLP tasks such as question answer- ing and knowledge acquisition are tightly dependent on dependency parsing. Depen- dency parsing accuracy is always decisive for the performance of subsequent tasks. Therefore, reducing dependency parsing errors or selecting high quality dependen- cies is a primary issue. In this paper, we present …...

This paper studies the performance of different parsers over a large Spanish tree- bank. The aim of this work is to assess the limitations of state-of-the-art parsers. We want to select the most appropriate parser for Subcategorization Frame acqui- sition, and we focus our analysis on two aspects: the accuracy …...

This paper focuses on the novel task of auto- matic extraction of phrases related to causes of emotions. The analysis of emotional causes in sentences, where emotions are explicitly indi- cated through emotion keywords can provide the foundation for research on challenging task of recognition of implicit affect from text. …...

We introduce a novel technique that uses hierarchical phrase-based statistical ma- chine translation (SMT) for grammar cor- rection. SMT systems provide a uni- form platform for any sequence transfor- mation task. Thus grammar correction can be considered a translation problem from incorrect text to correct text. Over the years, grammar …...

Word similarity computing is an important and fundamental task in the field of natural lan- guage processing. Most of word similarity methods perform well in synonyms, but not well between words whose similarity is vague. To overcome this problem, this paper proposes an approach of hybrid hierarchical structure computing Chinese …...

With the overabundance of online user- generated content, the ability to filter based on relevant perspectives is becom- ing increasingly important. Identifying the perspective of the authors with the review text would enhance the retrieval of perti- nent information. This problem can be tra- ditionally formulated as a text classifica- …...

News and twitter are sometimes closely correlated, while sometimes each of them has quite independent flow of information, due to the difference of the concerns of their information sources. In order to ef- fectively capture the nature of those two text streams, it is very important to model both their …...

We introduce a method for learning to predict reader interest. In our approach, social inter- action content and both syntactic and seman- tic features of words are utilized. The pro- posed method involves estimating topical in- terest preferences and determining the informativity between articles and their social content. In interest …...

Tree-to-tree Statistical Machine Transla- tion models require the use of syntactic tree structures of both the source and target side in learning rules to guide the trans- lation process. In order to accomplish the task, available treebanks for different languages are used as the main resources to collect necessary information …...

This work proposes to semantically clas- sify question-like search queries (e.g., “oil based heel creams”) based on the con- text yielded by preceding search queries in the same user session. Our novel ap- proach is promising as our initial results show that the classification accuracy im- proved in congruence with …...

In this paper, we present a study applying re- ject option to build a two-stage sentiment po- larity classification system. We construct a Naive Bayes classifier at the first stage and a Support Vector Machine at the second stage, in which documents rejected at the first stage are forwarded to …...

This paper demonstrates that combination of multiple models achieves better clas- sification performance than that obtained by existing individual models for ques- tion classification task in Bengali. We have exploited state of the art multiple model combination techniques, i.e., en- semble, stacking and voting on lexical, syntactical and semantic features …...

Cognates are words in different languages that are associated with each other by lan- guage learners. Thus, cognates are im- portant indicators for the prediction of the perceived difficulty of a text. We in- troduce a method for automatic cognate production using character-based machine translation. We show that our approach …...

A fundamental issue in opinion mining is to search a corpus for opinion units, which typically comprise the evaluation by an au- thor for a target object from an aspect, such as “This hotel is in a good location”. However, no attempt has been made to ad- dress cases where …...

Dictionary editing requires enormous time to dis-cuss whether a word should be listed in a dictionary or not. So as to define a dictionary word, this study employs the number of word users as a novel metrics for selecting a dic- tionary word. In order to obtain the word user, …...