Articles

. Pronominal orientation is widely argued to be universal component of human languages. Meanwhile, the pronominal system of Philippine languages (henceforth, PL) has always been an obscure subject of investigation. With approximately 150 living languages, the structures of pronominals are just as many. This study attempts to explicate the grammatical …...

. In this paper, genetic algorithm (GA) is utilized to search for the appropriate fea- ture combination for constructing a maximum entropy (ME) based classifier for named entity recognition (NER). Features are encoded in the chromosomes. The ME classifier is evaluated for the 3-fold cross validation with the features, encoded …...

. Dictionaries and ontologies are very important resources not only for linguistic research and applications but also for other areas dealing with knowledge. In general, however, they fall short of our expectations. One reason for this under-expectation is that their basic units are not well-established. Dictionary head words have to …...

. In this invited paper, we introduce a public web service, PodCastle, that pro- vides full-text searching of speech data (Japanese podcasts) on the basis of automatic speech recognition technologies. This is an instance of our research approach, Speech Recognition Research 2.0, which is aimed at providing users with a …...

. Recent considerations in opinion mining, oriented by real applicative tasks, require creating lexical and semantic resources quantitatively and qualitatively rich. In this context, we present a method to automatically enhance a lexicon of subjective terms. The method relies on the indexing of Web documents by a search engine and …...

. We present in this paper a method to automatically acquire a syntactic lexicon of subcategorization frames for French verbs directly from large corpora. The method is evaluated against existing lexical resources: we show that our system is capable of producing new frames that were not previously registered. Lastly, we …...

. This paper deals with the description and the automatic tracking of text segments containing obsolescence in encyclopedia texts. We assume that despite the non-linguistic nature of this phenomenon, discursive cues are relevant to track those segments. For that purpose, we have worked on a corpus which has been manually …...

. We present an original and flexible implementation of the edit-distance: the filtered composition, a special kind of composition of two finite-state machines through a filter that mod- els all valid edit-operations. The filter is either a weighted transducer or a cascade of weighted transducers. It is built from weighted …...

Two of the mechanisms for creating natural transitions between adjacent sentences in a text, resulting in local coherence, involve dis- course relations and switches of focus of at- tention between discourse entities. These two aspects of local coherence have been tradi- tionally discussed and studied separately. But some empirical studies …...

Domain portability and adaptation of NLP components and Word Sense Disambigua- tion systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledge-based WSD systems. Un- fortunately, all existing evaluation datasets for specific domains are …...

This report describes the UNITN system, a Part-Of-Speech Context Counter, that par- ticipated at Semeval 2010 Task 8: Multi- Way Classification of Semantic Relations Between Pairs of Nominals. Given a text annotated with Part-of-Speech, the system outputs a vector representation of a sen- tence containing 20 features in total. There …...

This paper briefly describes the KP-Miner sys- tem which is a system developed for the ex- traction of keyphrases from English and Arab- ic documents, irrespective of their nature. The paper also outlines the performance of the sys- tem in the “Automatic Keyphrase Extraction from Scientific Articles” task which is …...

The UvT system is based on a hybrid, lin- guistic and statistical approach, originally proposed for the recognition of multi- word terminological phrases, the C-value method (Frantzi et al., 2000). In the UvT implementation, we use an extended noun phrase rule set and take into consideration orthographic and morphological variation, …...

We describe the SEERLAB system that participated in the SemEval 2010’s Keyphrase Extraction Task. SEERLAB utilizes the DBLP corpus for generating a set of candidate keyphrases from a document. Random Forest, a supervised ensemble classifier, is then used to select the top keyphrases from the candidate set. SEERLAB achieved a …...

Automatically assigning keyphrases to documents has a great variety of applica- tions. Here we focus on the keyphrase extraction of scientific publications and present a novel set of features for the su- pervised learning of keyphraseness. Al- though these features are intended for ex- tracting keyphrases from scientific papers, because …...

In this paper, it is presented an unsuper- vised approach to automatically discover the latent keyphrases contained in scien- tific articles. The proposed technique is constructed on the basis of the combi- nation of two techniques: maximal fre- quent sequences and pageranking. We evaluated the obtained results by using micro-averaged …...

In this paper we present KX, a system for key- phrase extraction developed at FBK-IRST, which exploits basic linguistic annotation combined with simple statistical measures to select a list of weighted keywords from a document. The system is flexible in that it of- fers to the user the possibility of …...

We present a system description of the WINGNUS team work1 for the SemEval- 2010 task #5 Automatic Keyphrase Ex- traction from Scientific Articles. A key feature of our system is that it utilizes an inferred document logical structure in our candidate identification process, to limit the number of phrases in …...

Likey is an unsupervised statistical ap- proach for keyphrase extraction. The method is language-independent and the only language-dependent component is the reference corpus with which the doc- uments to be analyzed are compared. In this study, we have also used an- other language-dependent component: an English-specific Porter stemmer as a …...

In this paper we present a chunk based keyphrase extraction method for scientific articles. Different from most previous sys- tems, supervised machine learning algo- rithms are not used in our system. Instead, document structure information is used to remove unimportant contents; Chunk ex- traction and filtering is used to reduce …...