Articles

The Internet boom in recent years has in- creased the interest in the field of plagiarism detection. A lot of documents are published on the Net everyday and anyone can access and plagiarize them. Of course, checking all cases of plagiarism manually is an unfeasible task. Therefore, it is necessary …...

Preliminary research demonstrated the Emo- tiBlog annotated corpus relevance as a Ma- chine Learning resource to detect subjective data. In this paper we compare EmotiBlog with the JRC Quotes corpus in order to check the robustness of its annotation. We concen- trate on its coarse-grained labels and carry out a …...

This paper presents a formal mechanism to properly constrain the scope of negation and of certain quantificational determiners to their minimal clause in continuation semantics framework introduced in Barker and Shan (2008) and which was subsequently extended from sentential level to discourse level in Dinu (2011). In these works, type …...

The paper presents the results of an ana- lysis of the merits and problems of us- ing suffix arrays as an index data struc- ture for annotated natural-language cor- pora. It shows how multiple suffix arrays can be combined to represent layers of an- notation, and how this enables matches …...

Discourse incoherence is an important and typical problem with multi-document ex- tractive summaries. To address this issue, we have developed a schema-based sum- marization approach for query-based blog summaries that utilizes discourse struc- tures. In our schema design, we tried to model discourse structures which are typ- ically used by …...

The paper discusses the transferring rules of the output from a dependency parser for Bul- garian into RMRS analyses. This task is re- quired by the machine translation compatibil- ity between Bulgarian and English resources. Since the Bulgarian HPSG grammar is still be- ing developed, a repairing mechanism has been …...

We introduce a system that learns the par- ticipants of arbitrary given scripts. This system processes data from web experi- ments, in which each participant can be re- alized with different expressions. It com- putes participants by encoding semantic similarity and global structural informa- tion into an Integer Linear Program. …...

This paper presents a novel method for recognizing textual entailment which de- rives the hypothesis from the text through a sequence of parse tree transforma- tions. Unlike related approaches based on tree-edit-distance, we employ trans- formations which better capture linguis- tic structures of entailment. This is achieved by (a) extending …...

We present a treatment of Arabic morphol- ogy which allows us to deal with ‘weak’ verbs by paying attention to the underly- ing phonological process. This provides us with a very clean way of thinking about such verbs, and also makes maintenance of the lexicon very straightforward. 1...

Quotations from financial leaders can have significant influence upon the immediate prospects of economic actors. Indiscreet or candid comments from senior business leaders have had detrimental effects upon their organizations. Established polarity classification techniques perform poorly when classifying quotations because they display a number of complex linguistic features and lack …...

This study aims to assess the usefulness of multi-word expressions (MWEs) as fea- tures for a readability formula that pre- dicts the difficulty of texts for French as a foreign language. Using a MWE extrac- tor combining a statistical approach with a linguistic filter, we define 11 predictors. These take …...

In this paper we present the development process of NLP-QT, a question treebank that will be used for data-driven parsing in the context of a domain-specific QA sys- tem for querying NLP resource metadata. We motivate the need to build NLP-QT as a resource in its own right, by com- …...

In order to be able to systematically link compounds in GermaNet to their constit- uent parts, compound splitting needs to be applied recursively and has to identify the immediate constituents at each level of analysis. Existing tools for compound splitting for German only offer an analy- sis of all component …...

The long term goal of this research is to develop a program able to produce an automatic segmentation and categoriza- tion of textual sequences into discourse types. In this preliminary contribution, we present the construction of an algo- rithm which takes a segmented text as in- put and attempts to …...

In this paper, we present an opinion detection system built on top of a robust syntactic pars- er. The goal of this system is to extract opi- nions associated with products but also with characteristics of these products, i.e. to per- form feature-based opinion extraction. To car- ry out this …...

Transliteration mining is aimed at building high quality multi-lingual named entity (NE) lexicons for improving performance in various Natural Language Processing (NLP) tasks in- cluding Machine Translation (MT) and Cross Language Information Retrieval (CLIR). In this paper, we apply two Dynamic Bayesian network (DBN)-based edit distance (ED) ap- proaches in …...

This paper demonstrates a web-based online system, called META-DARE1. META-DARE is built to assist researchers to obtain insights into seed-based mini- mally supervised machine learning for re- lation extraction. META-DARE allows re- searchers and students to conduct experi- ments with an existing machine learning system called DARE (Xu et al., …...

Event extraction systems typically take ad- vantage of language and domain-specific knowledge bases, including patterns that are used to identify specific facts in text; techniques to acquire these patterns can be considered one of the most challenging is- sues. In this work, we propose a language- independent and weakly-supervised algo- …...

This article evaluates the integration of data extracted from a syntactic lexi- con, namely the Lexicon-Grammar, into several probabilistic parsers for French. We show that by modifying the Part-of- Speech tags of verbs and verbal nouns of a treebank, we obtain accurate perfor- mances with a parser based on Probabilis- …...

For the task of turning a natural language ques- tion into an explicit intermediate representa- tion of the complexity in question answering systems, all published works so far use rule- based approach to the best of our knowledge. We believe it is because of the complexity of the representation and …...