Articles

The task of documenting the world’s lan- guages is a mainstream activity in linguis- tics which is yet to spill over into computa- tional linguistics. We propose a new task of transcription normalisation as an algo- rithmic method for speeding up the pro- cess of transcribing audio sources, leading to …...

Multi-document summarization aims to pro- duce a concise summary that contains salient information from a set of source documents. Since documents often cover a number of topical themes with each theme represented by a cluster of highly related sentences, sentence clustering plays a pivotal role in theme-based summarization. Moreover, noting …...

We present a unified generative model of coordination that considers parallelism of conjuncts and selectional preferences. Parallelism of conjuncts, which frequently characterizes coordinate structures, modeled as a synchronized generationis process in the generative parser. Selec- tional preferences learned from a large web corpus provide an important clue for resolving the …...

Recent research efforts have led to the de- velopment of a state-of-the-art supervised coreference model, the cluster-ranking model. However, it is not clear whether the features that have been shown to be useful when employed in traditional coreference models will fare similarly when used in combination with this new model. …...

Various works have used word alignments in parallel corpora to transfer information like POS tags, syntactic trees and word senses from source to target sentences. In this paper, we work on the problem of pro- jecting syntactic relations from English to morphologically rich Hindi parallel text. We show the effectiveness …...

We propose a statistical sentence simplifica- tion system with log-linear models. In contrast to state-of-the-art methods that drive sentence simplification process by hand-written linguis- tic rules, our method used a margin-based dis- criminative learning algorithm operates on a feature set. The feature set is defined on statis- tics of surface …...

We present an efficient technique to incor- porate a small number of cross-linguistic parameter settings defining default word orders to otherwise unsupervised gram- mar induction. A syntactic prototype, represented by the integrated model be- tween Categorial Grammar and depen- dency structure, generated from the lan- guage parameters, is used to …...

This paper presents a novel crawling strat- egy to locate bilingual sites. It does so by focusing on the Web graph neighbor- hood of these sites and exploring the pat- terns of the links in this region to guide its visitation policy. A sub-task in the prob- lem of bilingual …...

We propose a content-based approach to mine parallel resources from the entire web using cross lingual information re- trieval (CLIR) with search query rele- vance score (SQRS). Our method im- proves mining recall by going beyond URL matching to find parallel documents from non-parallel sites. We introduce SQRS to improve …...

A novel reranking method has been de- veloped to refine web search queries. A label propagation algorithm was applied on a clickthrough graph, and the candi- dates were reranked using a query lan- guage model. Our method first enumer- ates query candidates with common land- ing pages with regard to …...

In this paper we study a novel relation extraction problem where a general rela- tion type is defined but relation extrac- tion involves extracting specific relation descriptors from text. This new task can be treated as a sequence labeling problem. Although linear-chain conditional random fields (CRFs) can be used to …...

This paper proposes a novel extractive summarization method for speech dialo- gues between agents and customers in contact centers. The proposed method does not require any extra cost for apply- ing the method such as preparing rules or creating training data. Conventional me- thods such as the tf*idf method, which …...

Heavy research has been done in recent years on tasks of traditional summarization. How- ever, social context, which is critical in build- ing high-quality social summarizer for web documents, is usually neglected. To address this issue, we propose a novel summarization approach based on social context. In this ap- proach, …...

This paper describes a novel method of constructing a language model for speech recognition of inputs with a particular style, using a large-scale Web archive. Our target is an open domain voice-activated QA system and our speech recognition module must recognize relatively short, domain independent questions. The cen- tral issue …...

The effort required to build a classifier for a task in a target language can be signifi- cantly reduced by utilizing the knowledge gained during an earlier effort of model building in a source language for a sim- ilar task. In this paper, we investigate whether unlabeled data in the …...

The accuracy and coverage of existing methods for extracting attributes of in- stances from text in general, and Web search queries in particular, are limited by two main factors: availability of in- put textual data to which the methods can be applied, and inherent limitations of the underlying assumptions and …...

The abundance of user-generated content comes at a price: the quality of content may range from very high to very low. We pro- pose a regression approach that incorporates various features to recommend short-text doc- uments from Twitter, with a bias toward qual- ity perspective. The approach is built on …...

Word classes automatically induced from distributional evidence have proved use- ful many NLP tasks including Named En- tity Recognition, parsing and sentence re- trieval. The Brown hard clustering algo- rithm is commonly used in this scenario. Here we propose to use Latent Dirichlet Allocation in order to induce soft, prob- …...

Sentiment detection of a given expression in- volves interaction with its component constit- uents through rules such as polarity propaga- tion, reversal or neutralization. Such composi- tionality-based sentiment detection usually performs better than a vote-based bag-of- words approach. However, in some contexts, the polarity of the adjectival modifier may not …...

Syntactic structures have been good fea- tures for opinion analysis, but it is not easy to use them. To find these features by su- pervised learning methods, correct syntac- tic labels are indispensible. Two possible sources to acquire syntactic structures are parsing trees and dependency trees. For the annotation processing, …...