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Wyniki wyszukiwania dla: word
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Bringing Common Sense to WordNet with a Word Game
PublikacjaWe present a tool for common sense knowledge acquisition in form of a twenty questions game. The described approach uses WordNet dictionary, which rich taxonomy allows to keep cognitive economy and accelerate knowledge propagation, although sometimes inferences made on hierarchical relations result in noise. We extend the dictionary with common sense assertions acquired during the games played with humans. The facts added to the...
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Word
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Towards semantic-rich word embeddings
PublikacjaIn recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...
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Współczesny Word of Mouth – dylematy pojęciowe
PublikacjaPrzekaz ustny (Word of Mouth) jest obecnie jednym z najważniejszych czynników, które mają wpływ na klientów podczas podejmowania decyzji o zakupie, a także na zarządzanie ich zachowaniami w procesie dokonywania zakupów. Szczególne znaczenie ma on w przypadku dóbr niematerialnych, o wysokim ryzyku zakupu, jakim są usługi. Rosnąca liczba jego nowych form i coraz bardziej skomplikowana natura, związana głównie z umieszczaniem opinii...
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Word & Image
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Word Structure
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Word of Mouth
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Word and Text
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Investigating Feature Spaces for Isolated Word Recognition
PublikacjaMuch attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...
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Investigating Feature Spaces for Isolated Word Recognition
PublikacjaThe study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...
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Assessing Word Difficulty for Quiz-Like Game
PublikacjaMappings verification is a laborious task. Our research aims at providing a framework for manual verification of mappings using crowdsourcing approach. For this purpose we plan on implementing a quiz like game. For this purpose the mappings have to be evaluated in terms of difficulty to better present texts in respect of game levels. In this paper we present an algorithm for assessing word difficulty. Three approaches...
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„Na początku było Słowo...” [„In the beginning was the Word...”]
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Cooperative Word Net Editor for Lexical Semantic Acquisition
PublikacjaThe article describes an approach for building Word Net semantic dictionary in a collaborative approach paradigm. The presented system system enables functionality for gathering lexical data in a Wikipedia-like style. The core of the system is a user-friendly interface based on component for interactive graph navigation. The component has been used for Word Net semantic network presentation on web page, and it brings functionalities...
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An Analysis of Neural Word Representations for Wikipedia Articles Classification
PublikacjaOne of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...
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"Computing with word" concept applied to musical information retrieval
PublikacjaW artykule zaproponowano wykorzystanie koncepcji "przetwarzania słów języka naturalnego" do znalezienia związku pomiędzy wybranymi parametrami dźwięków muzycznych a subiektywnie postrzeganą barwą. W pierwszej kolejności przedstawiono klasyczne metody mapowania parametrów mierzalnych i ich subiektywnych odpowiedników, następnie zbudowano bazę wiedzy w oparciu o wyniki testów subiektywnych. W procesie obróbki wykorzystano metodę...
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Trust in Electronic Word-of-Mouth (eWOM): the concept and the most important determinants
PublikacjaeWOM and trust in it is now the most important factor in determining buyers' purchasing behavior. Familiarity with the determinants of trust establishes the formation of appropriate marketing activities. However, the growing number of new forms of eWOM and its increasingly complex and multidimensional nature have created a lot of confusion. The article aims to organize the concepts related to trust in eWOM, to indicate the most...
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Slovo a smysl/Word and Sense
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Kultúra slova (The Word Culture)
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Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech
PublikacjaWe propose a weakly-supervised model for word-level mispronunciation detection in non-native (L2) English speech. To train this model, phonetically transcribed L2 speech is not required and we only need to mark mispronounced words. The lack of phonetic transcriptions for L2 speech means that the model has to learn only from a weak signal of word-level mispronunciations. Because of that and due to the limited amount of mispronounced...
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High-Speed Binary-to-Residue Converter Design Using 2-Bit Segmentation of the Input Word
PublikacjaIn this paper a new approach to the design of the high-speed binary-to-residue converter is proposed that allows the attaining of high pipelining rates by eliminating memories used in modulo m generators. The converter algorithm uses segmentation of the input binary word into 2-bit segments. The use and effects of the input word segmentation for the synthesis of converters for five-bit moduli are presented. For the number represented...