UNT College of Engineering - 171 Matching Results
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- A WordNet-Based Interface to Internet Search Engines
- This paper discusses a WordNet-based interface to Internet search engines.
- Word Sense Disambiguation based on Semantic Density
- This article discusses word sense disambiguation based on semantic density.
- An Automatic Method for Generating Sense Tagged Corpora
- This paper discusses an automatic method for generating sense tagged corpora.
- A Method for Word Sense Disambiguation of Unrestricted Text
- This paper discusses a method for word sense disambiguation of unrestricted text.
- LASSO: A Tool for Surfing the Answer Net
- This paper discusses LASSO, a tool for surfing the answer net.
- A Semi-Complete Disambiguation Algorithm for Open Text
- This paper discusses a semi-complete disambiguation algorithm for open text.
- An Iterative Approach to Word Sense Disambiguation
- This paper discusses an iterative approach to Word Sense Disambiguation.
- The Structure and Performance of an Open-Domain Question Answering System
- This article discusses the structure and performance of an open-domain question answering system.
- Semantic Indexing using WordNet Senses
- This article discusses semantic indexing using WordNet senses.
- FALCON: Boosting Knowledge for Answer Engines
- This paper discusses FALCON, an answer engine that integrates different forms of syntactic, semantic and pragmatic knowledge for the goal of achieving better performance.
- The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering
- This article discusses the role of lexico-semantic feedback in open-domain textual question-answering.
- Automatic generation of a coarse grained WordNet
- This paper discusses automatic generation of a coarse grained WordNet.
- eXtended WordNet: progress report
- This paper discusses eXtended WordNet.
- Answering complex, list and context questions with LCC's Question-Answering Server
- This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations.
- Efficient Energy Saving Scheme for On-Chip Caches
- This paper discusses efficient energy saving techniques for on-chip caches, focusing especially on drowsy cache schemes.
- The Semantic Wildcard
- This paper introduces the semantic wildcard, one of the most powerful operators implemented in IRSLO, which allows for searches along general-specific lines.
- Building a Sense Tagged Corpus with Open Mind Word Expert
- This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.
- Dynamic Agent Population in Agent-Based Distance Vector Routing
- This paper discusses dynamic agent population in agent-based distance vector routing.
- Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation
- This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation.
- Letter Level Learning for Language Independent Diacritics Restoration
- This paper discusses letter level learning for language independent diacritics restoration.
- Classifier Stacking and Voting for Text Filtering
- This article discusses classifier stacking and voting for text filtering.
- Performance Analysis of a Part of Speech Tagging Task
- This article discusses performance analysis of a part of speech tagging task.
- Creating Large Annotated Data Collections with Web Users' Help
- This paper discusses creating annotated data collections.
- An Evaluation Exercise for Word Alignment
- This paper discusses an evaluation exercise for word alignment.
- Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation
- This paper discusses word sense disambiguation.
- The Role of Non-Ambiguous Words in Natural Language Disambiguation
- This article discusses the role of non-ambiguous words in natural language disambiguation.
- Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
- This paper discusses building multilingual semantic networks.
- SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text
- This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.
- Co-training and Self-training for Word Sense Disambiguation
- This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
- Finding Semantic Associations on Express Lane
- This paper introduces a new codification scheme for efficient computation of measures in semantic networks. The scheme is particularly useful for fast computation of semantic associations between words and implementation of an informational retrieval operator for efficient search in semantic spaces. Other applications may also be possible.
- Impact of Interference Model on Capacity in CDMA Cellular Networks
- This paper discusses an impact of interference model on capacity in CDMA cellular networks.
- Open Text Semantic Parsing Using FrameNet and WordNet
- This article discusses open text semantic parsing using FrameNet and WordNet.
- An Evaluation Exercise for Romanian Word Sense Disambiguation
- This paper discusses an evaluation exercise for Romanian word sense disambiguation.
- Global versus Local Call Admission Control in CDMA Cellular Networks
- This paper discusses global versus local call admission control.
- Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization
- Abstract: This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.
- Mixing Weak Learners in Semantic Parsing
- This paper shows results from the application of a novel variant of Random Forests to the shallow semantic parsing problem.
- The SENSEVAL-3 English Lexical Sample Task
- This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.
- The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task
- This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
- TextRank: Bringing Order into Texts
- In this paper, the authors introduce TextRank, a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications.
- An Algorithm for Open Text Semantic Parsing
- This paper describes an algorithm for open text shallow semantic parsing.
- PageRank on Semantic Networks, with Application to Word Sense Disambiguation
- This article discusses PageRank on semantic networks, with application to word sense disambiguation.
- Subscriber Maximization in CDMA Cellular Networks
- This paper discusses subscriber maximization in CDMA cellular networks.
- A Logic Programming Framework for Semantic Interpretation with WordNet and PageRank
- This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.
- Making Sense Out of the Web
- This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.
- Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing
- This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.
- PicNet: Augmenting Semantic Resources with Pictorial Representations
- In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.
- Semantic Document Engineering with WordNet and PageRank
- This article discusses semantic document engineering with WordNet and PageRank.
- Throughput Optimization in Multi-Cell CDMA Networks
- In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
- Multi-Document Summarization with Iterative Graph-based Algorithms
- This paper discusses multi-document synchronization with iterative graph-based algorithms.
- Measuring the Semantic Similarity of Texts
- This paper discusses measuring the semantic similarity of texts.