Recognizing and tagging temporal expressions in Spanish

This paper shows a system about the recognition of temporal expressions in Spanish and the resolution of their temporal reference. For the identification and recognition of temporal expressions we have based on a temporal expression grammar and for the resolution on an inference engine, where we have the information necessary to do the date operation based on the recognized expressions. For further information treatment, the output is proposed by means of XML tags in order to add standard information of the resolution obtained. Different kinds of annotation of temporal expressions are explained in another articles [WILSON2001][KATZ2001]. In the evaluation of our proposal we have obtained successful results.

Grammar specification for the recognition of temporal expressions

This paper tells about the recognition of temporal expressions and the resolution of their temporal reference. A proposal of the units we have used to face up this tasks over a restricted domain is shown. We work with newspapers' articles in Spanish, that is why every reference we use is in Spanish. For the identification and recognition of temporal expressions we base on a temporal expression grammar and for the resolution on a dictionary, where we have the information necessary to do the date operation based on the recognized expressions. In the evaluation of our proposal we have obtained successful results for the examples studied.

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

A relação adverbial temporal na lusofonia sob a perspectiva da gramática discursivo-funcional

Pós-graduação em Estudos Linguísticos - IBILCE

Evaluating knowledge-based approaches to the multilingual extension of a temporal expression normalizer

The extension to new languages is a well known bottleneck for rule-based systems. Considerable human effort, which typically consists in re-writing from scratch huge amounts of rules, is in fact required to transfer the knowledge available to the system from one language to a new one. Provided sufficient annotated data, machine learning algorithms allow to minimize the costs of such knowledge transfer but, up to date, proved to be ineffective for some specific tasks. Among these, the recognition and normalization of temporal expressions still remains out of their reach. Focusing on this task, and still adhering to the rule-based framework, this paper presents a bunch of experiments on the automatic porting to Italian of a system originally developed for Spanish. Different automatic rule translation strategies are evaluated and discussed, providing a comprehensive overview of the challenge.

Multilingual extension of a temporal expression normalizer using annotated corpora

This paper presents the automatic extension to other languages of TERSEO, a knowledge-based system for the recognition and normalization of temporal expressions originally developed for Spanish. TERSEO was first extended to English through the automatic translation of the temporal expressions. Then, an improved porting process was applied to Italian, where the automatic translation of the temporal expressions from English and from Spanish was combined with the extraction of new expressions from an Italian annotated corpus. Experimental results demonstrate how, while still adhering to the rule-based paradigm, the development of automatic rule translation procedures allowed us to minimize the effort required for porting to new languages. Relying on such procedures, and without any manual effort or previous knowledge of the target language, TERSEO recognizes and normalizes temporal expressions in Italian with good results (72% precision and 83% recall for recognition).

Semantic Classes in Topic Detection and Tracking

Topic detection and tracking (TDT) is an area of information retrieval research the focus of which revolves around news events. The problems TDT deals with relate to segmenting news text into cohesive stories, detecting something new, previously unreported, tracking the development of a previously reported event, and grouping together news that discuss the same event. The performance of the traditional information retrieval techniques based on full-text similarity has remained inadequate for online production systems. It has been difficult to make the distinction between same and similar events. In this work, we explore ways of representing and comparing news documents in order to detect new events and track their development. First, however, we put forward a conceptual analysis of the notions of topic and event. The purpose is to clarify the terminology and align it with the process of news-making and the tradition of story-telling. Second, we present a framework for document similarity that is based on semantic classes, i.e., groups of words with similar meaning. We adopt people, organizations, and locations as semantic classes in addition to general terms. As each semantic class can be assigned its own similarity measure, document similarity can make use of ontologies, e.g., geographical taxonomies. The documents are compared class-wise, and the outcome is a weighted combination of class-wise similarities. Third, we incorporate temporal information into document similarity. We formalize the natural language temporal expressions occurring in the text, and use them to anchor the rest of the terms onto the time-line. Upon comparing documents for event-based similarity, we look not only at matching terms, but also how near their anchors are on the time-line. Fourth, we experiment with an adaptive variant of the semantic class similarity system. The news reflect changes in the real world, and in order to keep up, the system has to change its behavior based on the contents of the news stream. We put forward two strategies for rebuilding the topic representations and report experiment results. We run experiments with three annotated TDT corpora. The use of semantic classes increased the effectiveness of topic tracking by 10-30\% depending on the experimental setup. The gain in spotting new events remained lower, around 3-4\%. The anchoring the text to a time-line based on the temporal expressions gave a further 10\% increase the effectiveness of topic tracking. The gains in detecting new events, again, remained smaller. The adaptive systems did not improve the tracking results.

Identification and expression of TRAF6 (TNF receptor-associated factor 6) gene in Zhikong Scallop Chlamys farreri

Tumor necrosis factor receptor-associated factor 6 (TRAF6), a key signaling adaptor molecule common to the TNFR superfamily and IL-IR/TLR family, is important not only for a diverse array of physiological processes functions of the TNFR superfamily, but also is involved in adaptive immunity and innate immunity. In this report, the first bivalve TRAF6 (named as CfTRAF6) gene is identified and characterized from Zhikong scallop Chlamys farreri. The full-length cDNA of CfTRAF6 is of 2510 bp, consisting of a 5'-terminal untranslated region (UTR) of 337 bp, a 3'-terminal UTR of 208 bp with a canonical polyadenylation signal sequence AATAAA and a poly (A) tail, and an open reading frame (ORF) encoding a polypeptide of 655 amino acids. The predicted amino acid sequence of CfTRAF6 comprises characteristic motifs of the TRAF proteins, including a Zinc finger of RING-type, two Zinc fingers of TRAF-type, a coiled-coil region, and a MATH (the meprin and TRAF homology) domain. The overall amino acid sequence identity between CfTRAF6 and other TRAF6s is 28-68%. Phylogenetic analyses of CfTRAF6 sequence with TRAF sequences from other organisms indicate that CfTRAF6 is a true TRAF6 orthologue. The mRNA expression of CfTRAF6 in various tissues is measured by Real-time RT-PCR. The mRNA transcripts are constitutively expressed in tissues of haemocyte, muscle, mantle, heart, gonad and gill, but the highest expression is observed in the gonad. The temporal expressions of CfTRAF6 mRNA in the mixed primary cultured haemocytes are recorded after treatment with 20 mu g mL(-1) and 0.5 mu g mL(-1) peptido-glycan (PGN). The expression level of CfTRAF mRNA is down-regulated from 1.5 h to 3 h after the treatment with 0.5 mu g mL(-1) PGN, and then recovers to the original level. While the expression of CfTRAF6 is obviously decreased after treatment with 20 mu g mL(-1) PGN, and reach the lowest point (only about 1/9 times to control) at 3 h. The result Suggests that CfTRAF6 can be greatly regulated by PGN and it may be involved in signal transduction and immune response of scallop. (C) 2008 Published by Elsevier Ltd.

Identification and characterization of a myeloid differentiation factor 88 (MyD88) cDNA from Zhikong scallop Chlamys farreri

Myeloid differentiation factor 88 (MyD88) is a universal and essential adapter for the TLR/IL-1R family. In this report, the first mollusk Myd88 ortholog (named as CfMyd88) was cloned from Zhikong scallop (Chlamys farreri). The full-length cDNA of CfMyd88 was of 1554 bp, including a 5 '-terminal untranslated region (UTR) of 427 bp, a polyA tail, and an open reading frame (ORF) of 1104 bp encoding a polypeptide of 367 amino acids containing the typical TLR and IL-1R-related (TIR) domain and death domain (DD). Homology analysis revealed that the predicted amino acid sequence of CfMyd88 was homologous to a variety of previously identified Myd88s with more than 30% identity. The temporal expressions of CfMyd88 mRNA in the mixed primary cultured haemocytes stimulated by lipopolysaccharide (LPS) and peptidoglycans (PGN) were measured by real-time RT-PCR system. The mRNA expression of CfMyd88 decreased after stimulation with both LPS and PGN, and the lowest level was about 1/3 times (at 6 h) and 1/10 times (at 9 h) to that in the control group, respectively. The expression then recovered and was upregulated to two-fold at 9 h after LPS stimulation or to the original level at 12 It after PGN stimulation. The results suggest that the MyD88-dependent signaling pathway exists in scallop and was involved in the defense system. (c) 2007 Elsevier Ltd. All rights reserved.

Molecular cloning and expression of a Toll receptor gene homologue from Zhikong Scallop, Chlamys farreri

Toll-like receptors (TLRs) are an ancient family of pattern recognition receptors, which show homology with the Drosophila Toll protein and play key roles in detecting various non-self substances and then initiating and activating immune system. In this report, the full length of the first bivalve TLR (named as CfToll-1) is presented. CfToll-1 was originally identified as an EST (expressed sequence tag) fragment from a cDNA library of Zhikong scallop (Chlamys farreri). Its complete sequence was obtained by the construction of Genome Walker library and 5' RACE (rapid amplification of cDNA end) techniques. The full length cDNA of CfToll-1 consisted of 4308 nucleotides with a polyA tail, encoding a putative protein of 1198 amino acids with a 5' UTR (untranslated region) of 211 bp and a 3'UTR of 500 bp. The predicted amino acid sequence comprised an extracellular domain with a potential signal peptide, nineteen leucine-rich repeats (LRR), two LRR-C-terminal (LRRCT) motifs, and a LRR-N-terminal (LRRNT), followed by a transmembrane segment of 20 amino acids, and a cytoplasmic region of 138 amino acids containing the Toll/IL-1R domain (TIR). The deduced amino acid sequence of CfToll-1 was homologous to Drosophila melanogaster Tolls (DmTolls) with 23-35% similarity in the full length amino acids sequence and 30-54% in the TIR domain. Phylogenetic analysis of CfToll-1 with other known TLRs revealed that CfToll-1 was closely related to DmTolls. An analysis of the tissue-specific expression of the CfToll-1 gene by Real-time PCR showed that the transcripts were constitutively expressed in tissues of haemocyte, muscle, mantle, heart, gonad and gill. The temporal expressions of CfToll-1 in the mixed primary cultured haemocytes were observed after the haemocytes were treated with 1 mu g ml(-1) and 100 ng ml(-1) lipopolysaccharide (LPS), respectively. The expression of CfToll-1 was up-regulated and increased about 2-fold at 6 h with the treatment of 1 mu g ml(-1) LPS. The expression of CfToll-1 was down-regulated with the treatment of 100 ng ml(-1) LPS. The results indicated that the expression of CfToll-1 could be regulated by LPS, and this regulation was dose-dependent. (c) 2006 Elsevier Ltd. All rights reserved.

Cloning, characterization, and expression analysis of extracellular copper/zinc superoxide dismutase gene from bay scallop Argopecten irradians

Extracellular superoxide dismutase (ECSOD) is a major extracellular antioxidant enzyme that protects organs from damage by reactive oxygen species (ROS). We cloned a novel ECSOD from the bay scallop Argopecten irradians (AiECSOD) by 3' and 5' RACE. The full-length cDNA of AiECSOD was 893 bp with a 657 bp open reading frame encoding 218 amino acids. The deduced amino acid sequence contained a putative signal peptide of 20 amino acids, and sequence comparison showed that AiECSOD had low degree of homology to ECSODs of other organisms. The genomic length of the AiECSOD gene was about 5276 bp containing five exons and six introns. The promoter region contained many putative transcription factor binding sites such as c-Myb, Oct-1, Sp1, Kruppel-like, c-ETS, NF kappa B, GATA-1, AP-1, and Ubx binding sites. Furthermore, tissue-specific expressions of AiECSOD and temporal expressions of AiECSOD in haemocytes of bay scallops challenged with bacteria Vibrio anguillarum were quantified using qRT-PCR. High levels of expression were detected in haemocytes, but not in gonad and mantle. The expression of AiECSOD reached the highest level at 12 h post-injection with V. anguillarum and then returned to normal between 24 h and 48 h post-injection. These results indicated that AiECSOD was an inducible protein and that it may play an important role in the immune responses against V anguillarum. Crown Copyright (C) 2008 Published by Elsevier Ltd. All rights reserved.

Análise comparativa do processo de gramaticalização das perífrases conjuncionais agora que e já que

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Back from the future:the second chance in the past of aller + infinitive

Typological studies (Bybee et al. 1994, Dahl 2000, Bourdin 2008 among many others) have shown a tendency for spatial elements (such as movement verbs) to grammaticalise into temporal expressions. The periphrasis made of aller + infinitive has been very productive in Romance languages. If in French, Spanish or Portuguese, it refers to future, it refers to a simple past in Catalan. fr.: je vais aller au cinéma esp.: voy a ir al cine pt. Vou ira o cine cat.: vaig anar al cine Barceló & Bres (2005:168) indicate that, In French, «vers le XVIème siècle, […] la périphrase a brièvement fonctionné comme un temps du passé (alors même que l’emploi comme temps du futur émergeait)»: (1) Sur ces propos, firent leur accord et, en regardant le lieu le plus propre pour faire cette belle œuvre, elle va dire qu’elle n’en savait point de meilleure ni plus loin de tout soupçon, qu’une petite maison qui était dedans le parc, où il y avait chambre et lit tout à propos. (Marguerite de Navarre, L’Heptaméron) The future value took over so much so that Damourette & Pichon (1911-1936 :117) claimed the past value had disappeared»: Un second tour, encore plus aberrant, n’a plus, que nous sachions, aucune position en pays d’Oui. Nous voulons parler de l’expression d’un passé au moyen de l’auxiliaire aller, suivi de l’infinitif. Ce tour a eu une grande fortune dans le provençal ancien et le catalan […] En français, on n’en trouve que des traces, notamment du XIVe au XVIe siècles . Ex.:[…] Adoncques s’arrêtèrent le conte et Raimondin soubz un grand arbre ; lors va dire le conte à Raimondin: […]. Et Raimondin va lui dire : Sire, ce qu’il vous plaira. That allegedly extinct use is nonetheless alive and kicking in Contemporary French. Larreya (2005:349)notes that it is « très courant dans les récits – en particulier dans les récits oraux» and it is also found in newspaper language as shown by this except from an obituary for Loulou Gasté (Le Monde 1995): (2) Celle-ci se déroule aux Editions Micro, où il a un bureau. Séduit par la jeune interprète, il commence à lui écrire des chansons sur mesure et leur complicité va mettre cinq ans à se transformer en amour. Au début de leur rencontre, Loulou est neurasthénique parce qu’il vient de divorcer et la future Line, exclusivement préoccupée par son métier, ne songe à rien d’autre. Line et Loulou vont rattraper le temps perdu et créer ensemble un millier de petites chansons dont la plupart sont devenues immortelles. Jusqu’à ces derniers mois, il ne va pas se passer une journée sans que Loulou s’empare de sa guitare pour créer un refrain. Would we be witnessing a linguistic resurrection? The same structure seems therefore to have grammaticalised in diverging and even diametrically opposite ways in different Romance languages. In this talk, we shall try to explain how the phrase aller + infinitive is able to function both as a future and a past. We will especially concentrate on the case of contemporary French where, while the future interpretation has obtained the status of tense as futur proche or périphrastique, a past interpretation is now commonplace. Our reflection will be supported by a personal corpus of authentic examples.

Temporal-based support vector machines for facial expression recognition

When classifying a signal, ideally we want our classifier to trigger a large response when it encounters a positive example and have little to no response for all other examples. Unfortunately in practice this does not occur with responses fluctuating, often causing false alarms. There exists a myriad of reasons why this is the case, most notably not incorporating the dynamics of the signal into the classification. In facial expression recognition, this has been highlighted as one major research question. In this paper we present a novel technique which incorporates the dynamics of the signal which can produce a strong response when the peak expression is found and essentially suppresses all other responses as much as possible. We conducted preliminary experiments on the extended Cohn-Kanade (CK+) database which shows its benefits. The ability to automatically and accurately recognize facial expressions of drivers is highly relevant to the automobile. For example, the early recognition of “surprise” could indicate that an accident is about to occur; and various safeguards could immediately be deployed to avoid or minimize injury and damage. In this paper, we conducted initial experiments on the extended Cohn-Kanade (CK+) database which shows its benefits.

Sparse temporal representations for facial expression recognition

In automatic facial expression recognition, an increasing number of techniques had been proposed for in the literature that exploits the temporal nature of facial expressions. As all facial expressions are known to evolve over time, it is crucially important for a classifier to be capable of modelling their dynamics. We establish that the method of sparse representation (SR) classifiers proves to be a suitable candidate for this purpose, and subsequently propose a framework for expression dynamics to be efficiently incorporated into its current formulation. We additionally show that for the SR method to be applied effectively, then a certain threshold on image dimensionality must be enforced (unlike in facial recognition problems). Thirdly, we determined that recognition rates may be significantly influenced by the size of the projection matrix \Phi. To demonstrate these, a battery of experiments had been conducted on the CK+ dataset for the recognition of the seven prototypic expressions - anger, contempt, disgust, fear, happiness, sadness and surprise - and comparisons have been made between the proposed temporal-SR against the static-SR framework and state-of-the-art support vector machine.