Abstract. This year marked UAIC1's first participation at the VideoCLEF competition. Our group bu... more Abstract. This year marked UAIC1's first participation at the VideoCLEF competition. Our group built two separated systems for tasks “Subject Classification” and “Affect Detection”. For first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extract the audio component from a given video file, with FFmpeg codec.
Abstract. This paper describes the participation of UAIC team at the ImageCLEF 2011 competition, ... more Abstract. This paper describes the participation of UAIC team at the ImageCLEF 2011 competition, Wikipedia Retrieval task. The aim of the task was to investigate retrieval approaches in the context of a large and heterogeneous collection of images and their noisy text annotations. We submitted a total of six runs, focusing our effort along the textual retrieval, query expansion on English language, combined with feature extraction (Color and Edge Directionality Descriptor, CEDD).
Abstract In the last years the computational Grids have become an important research area in larg... more Abstract In the last years the computational Grids have become an important research area in large-scale scientific and engineering research. Our approach is based on Peer-to-peer (P2P) networks, which are recognized as one of most used architectures in order to achieve scalability in key components of Grid systems. The main scope in using of a computational Grid was to improve the computational speed of systems that solve complex problems from Natural Language processing field.
Abstract: The goal of our research is to investigate the use of internet monitoring in crisis man... more Abstract: The goal of our research is to investigate the use of internet monitoring in crisis management using linguistic processing and text mining techniques. We present a system that detects and classifies events on topics and, using an altered opinion mining workflow, detects geographical entities related to these events and the sentiments expressed towards them. The results are displayed in customized GoogleMaps views, indicating areas with a potential risk, such as natural disasters, unfavorable weather or threatening protests.
Abstract: The paper presents a proposal for correlating human's performance in discourse coherenc... more Abstract: The paper presents a proposal for correlating human's performance in discourse coherence with a linear model of immediate memory. We begin by estimating experimentally the discourse coherence as produced by humans, using for that a measure based on Centering transitions. Then we introduce a parametrised model of immediate memory, and we propose a simple access cost model, which mimics cognitive effort during discourse processing.
This year marked UAIC's first participation at the INFILE@ CLEF competition. The purpose of this ... more This year marked UAIC's first participation at the INFILE@ CLEF competition. The purpose of this campaign is the evaluation of cross-language filtering systems, which is to successfully build an automated system that separates relevant from non-relevant documents written in different languages with respect to a given profile. For the batch filtering task, participants are provided with the whole document collection and must return the list of relevant documents for each topic.
Abstract. In this paper we investigate two fundamental issues related to the production of cohere... more Abstract. In this paper we investigate two fundamental issues related to the production of coherent discourse by intelligent agents: a cohesion property and a fluency property. The cohesion aspects of discourse production relate to the use of pronominal anaphora: whether and in what conditions intelligent agents could acquire pronouns as means to express recently mentioned entities?
This paper presents a Named Entity Recognition system for Romanian, created using linguistic gram... more This paper presents a Named Entity Recognition system for Romanian, created using linguistic grammar-based techniques and a set of resources. Our system's architecture is based on two modules, the named entity identification and the named entity classification module. After the named entity candidates are marked for each input text, each candidate is classified into one of the considered categories, such as Person, Organization, Place, Country, etc. The system's Upper Bound and its performance in real context are evaluated for each of the two modules (identification and classification) and for each named entity type.
Multilingual Information Access Evaluation I. Text …, Jan 1, 2011
This report presents the work carried out at NLE Lab for the CLEF-IP 2009 competition. We adapted... more This report presents the work carried out at NLE Lab for the CLEF-IP 2009 competition. We adapted the JIRS passage retrieval system for this task, with the objective to exploit the stylistic characteristics of the patents. Since JIRS was developed for the Question Answering task and this is the first time its model was used to compare entire documents, we had to carry out some transformations on the patent documents. The obtained results are not good and show that the modifications adopted in order to use JIRS represented a wrong choice, compromising the performance of the retrieval system.
The paper represents a brief description of our system as one of the solutions to the problem of ... more The paper represents a brief description of our system as one of the solutions to the problem of global topological localization for indoor environments. The experiment involves analyzing images acquired with a perspective camera mounted on a robot platform and applying a feature-based method (SIFT) and two main systems in order to search and classify the given images. To obtain acceptable results and improved performance improvement, the algorithm acquires two main maturity levels: one capable of running in ...
2009 marked UAIC's first participation at the VideoCLEF evaluation campaign. Our gro... more 2009 marked UAIC's first participation at the VideoCLEF evaluation campaign. Our group built two separate systems for the “Subject Classification” and “Affect Detection” tasks. For the first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extracted the audio component from a given video file, using FFmpeg. After that, we computed the average amplitude for each word from the transcript, by applying the Fast ...
Abstract. This year marked UAIC1's first participation at the VideoCLEF competition. Our group bu... more Abstract. This year marked UAIC1's first participation at the VideoCLEF competition. Our group built two separated systems for tasks “Subject Classification” and “Affect Detection”. For first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extract the audio component from a given video file, with FFmpeg codec.
Abstract. This paper describes the participation of UAIC team at the ImageCLEF 2011 competition, ... more Abstract. This paper describes the participation of UAIC team at the ImageCLEF 2011 competition, Wikipedia Retrieval task. The aim of the task was to investigate retrieval approaches in the context of a large and heterogeneous collection of images and their noisy text annotations. We submitted a total of six runs, focusing our effort along the textual retrieval, query expansion on English language, combined with feature extraction (Color and Edge Directionality Descriptor, CEDD).
Abstract In the last years the computational Grids have become an important research area in larg... more Abstract In the last years the computational Grids have become an important research area in large-scale scientific and engineering research. Our approach is based on Peer-to-peer (P2P) networks, which are recognized as one of most used architectures in order to achieve scalability in key components of Grid systems. The main scope in using of a computational Grid was to improve the computational speed of systems that solve complex problems from Natural Language processing field.
Abstract: The goal of our research is to investigate the use of internet monitoring in crisis man... more Abstract: The goal of our research is to investigate the use of internet monitoring in crisis management using linguistic processing and text mining techniques. We present a system that detects and classifies events on topics and, using an altered opinion mining workflow, detects geographical entities related to these events and the sentiments expressed towards them. The results are displayed in customized GoogleMaps views, indicating areas with a potential risk, such as natural disasters, unfavorable weather or threatening protests.
Abstract: The paper presents a proposal for correlating human's performance in discourse coherenc... more Abstract: The paper presents a proposal for correlating human's performance in discourse coherence with a linear model of immediate memory. We begin by estimating experimentally the discourse coherence as produced by humans, using for that a measure based on Centering transitions. Then we introduce a parametrised model of immediate memory, and we propose a simple access cost model, which mimics cognitive effort during discourse processing.
This year marked UAIC's first participation at the INFILE@ CLEF competition. The purpose of this ... more This year marked UAIC's first participation at the INFILE@ CLEF competition. The purpose of this campaign is the evaluation of cross-language filtering systems, which is to successfully build an automated system that separates relevant from non-relevant documents written in different languages with respect to a given profile. For the batch filtering task, participants are provided with the whole document collection and must return the list of relevant documents for each topic.
Abstract. In this paper we investigate two fundamental issues related to the production of cohere... more Abstract. In this paper we investigate two fundamental issues related to the production of coherent discourse by intelligent agents: a cohesion property and a fluency property. The cohesion aspects of discourse production relate to the use of pronominal anaphora: whether and in what conditions intelligent agents could acquire pronouns as means to express recently mentioned entities?
This paper presents a Named Entity Recognition system for Romanian, created using linguistic gram... more This paper presents a Named Entity Recognition system for Romanian, created using linguistic grammar-based techniques and a set of resources. Our system's architecture is based on two modules, the named entity identification and the named entity classification module. After the named entity candidates are marked for each input text, each candidate is classified into one of the considered categories, such as Person, Organization, Place, Country, etc. The system's Upper Bound and its performance in real context are evaluated for each of the two modules (identification and classification) and for each named entity type.
Multilingual Information Access Evaluation I. Text …, Jan 1, 2011
This report presents the work carried out at NLE Lab for the CLEF-IP 2009 competition. We adapted... more This report presents the work carried out at NLE Lab for the CLEF-IP 2009 competition. We adapted the JIRS passage retrieval system for this task, with the objective to exploit the stylistic characteristics of the patents. Since JIRS was developed for the Question Answering task and this is the first time its model was used to compare entire documents, we had to carry out some transformations on the patent documents. The obtained results are not good and show that the modifications adopted in order to use JIRS represented a wrong choice, compromising the performance of the retrieval system.
The paper represents a brief description of our system as one of the solutions to the problem of ... more The paper represents a brief description of our system as one of the solutions to the problem of global topological localization for indoor environments. The experiment involves analyzing images acquired with a perspective camera mounted on a robot platform and applying a feature-based method (SIFT) and two main systems in order to search and classify the given images. To obtain acceptable results and improved performance improvement, the algorithm acquires two main maturity levels: one capable of running in ...
2009 marked UAIC's first participation at the VideoCLEF evaluation campaign. Our gro... more 2009 marked UAIC's first participation at the VideoCLEF evaluation campaign. Our group built two separate systems for the “Subject Classification” and “Affect Detection” tasks. For the first task we created two resources starting from Wikipedia pages and pages identified with Google and used two tools for classification: Lucene and Weka. For the second task we extracted the audio component from a given video file, using FFmpeg. After that, we computed the average amplitude for each word from the transcript, by applying the Fast ...
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