Search Results - "McCrae, John P."

Toward an Integrative Approach for Making Sense Distinctions by McCrae, John P, Fransen, Theodorus, Ahmadi, Sina, Buitelaar, Paul, Goswami, Koustava

“…Word senses are the fundamental unit of description in lexicography, yet it is rarely the case that different dictionaries reach any agreement on the number…”
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Foreword to the Special Issue: “Towards the Multilingual Web of Data” by McCrae, John P., Gracia, Jorge

“…We are pleased to introduce this special issue on the topic of “Towards the Multilingual Web of Data”, which we feel is a timely and valuable topic in our…”
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Intent Classification by the Use of Automatically Generated Knowledge Graphs by Arcan, Mihael, Manjunath, Sampritha, Robin, Cécile, Verma, Ghanshyam, Pillai, Devishree, Sarkar, Simon, Dutta, Sourav, Assem, Haytham, McCrae, John P., Buitelaar, Paul

“…Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers’ goals. Although intent classification…”
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Conversation Concepts: Understanding Topics and Building Taxonomies for Financial Services by McCrae, John P., Mohanty, Pranab, Narayanan, Siddharth, Pereira, Bianca, Buitelaar, Paul, Karmakar, Saurav, Sarkar, Rajdeep

“…Knowledge graphs are proving to be an increasingly important part of modern enterprises, and new applications of such enterprise knowledge graphs are still…”
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DravidianCodeMix: sentiment analysis and offensive language identification dataset for Dravidian languages in code-mixed text by Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Muralidaran, Vigneshwaran, Jose, Navya, Suryawanshi, Shardul, Sherly, Elizabeth, McCrae, John P.

“…This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media…”
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Linking Datasets Using Semantic Textual Similarity by McCrae, John P., Buitelaar, Paul

“…Linked data has been widely recognized as an important paradigm for representing data and one of the most important aspects of supporting its use is discovery…”
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MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis by Buitelaar, Paul, Wood, Ian D., Negi, Sapna, Arcan, Mihael, McCrae, John P., Abele, Andrejs, Robin, Cecile, Andryushechkin, Vladimir, Ziad, Housam, Sagha, Hesam, Schmitt, Maximilian, Schuller, Bjorn W., Sanchez-Rada, J. Fernando, Iglesias, Carlos A., Navarro, Carlos, Giefer, Andreas, Heise, Nicolaus, Masucci, Vincenzo, Danza, Francesco A., Caterino, Ciro, Smrz, Pavel, Hradis, Michal, Povolny, Filip, Klimes, Marek, Matejka, Pavel, Tummarello, Giovanni

“…Recently, there is an increasing tendency to embed functionalities for recognizing emotions from user-generated media content in automated systems such as…”
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A Survey of Current Datasets for Code-Switching Research by Jose, Navya, Chakravarthi, Bharathi Raja, Suryawanshi, Shardul, Sherly, Elizabeth, McCrae, John P.

“…Code switching is a prevalent phenomenon in the multilingual community and social media interaction. In the past ten years, we have witnessed an explosion of…”
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A Comparison of Emotion Annotation Approaches for Text by Wood, Ian, McCrae, John, Andryushechkin, Vladimir, Buitelaar, Paul

“…While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the…”
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Named Entity Recognition for Code-Mixed Indian Corpus using Meta Embedding by Priyadharshini, Ruba, Chakravarthi, Bharathi Raja, Vegupatti, Mani, McCrae, John P.

“…In this paper, we utilize the pre-trained embedding, sub-word embedding and closely related languages of languages in the code mixed corpus to create a…”
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Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network by Karim, Md. Rezaul, Raja Chakravarthi, Bharathi, McCrae, John P., Cochez, Michael

“…Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also…”
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Comparison of Pretrained Embeddings to Identify Hate Speech in Indian Code-Mixed Text by Banerjee, Shubhanker, Raja Chakravarthi, Bharathi, McCrae, John P.

“…Two or more languages used in the same sentence is known as the code-mixed text. The phenomenon is abundant in social media due to multilingualism. It poses a…”
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Domain adaptation for ontology localization by McCrae, John P., Arcan, Mihael, Asooja, Kartik, Gracia, Jorge, Buitelaar, Paul, Cimiano, Philipp

“…Ontology localization is the task of adapting an ontology to a different cultural context, and has been identified as an important task in the context of the…”
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MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis by Rani, Priya, Negi, Gaurav, Fransen, Theodorus, McCrae, John P

“…The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language…”
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Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages by Goswami, Koustava, Rani, Priya, Fransen, Theodorus, McCrae, John P

“…Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised…”
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Multilingual Text Style Transfer: Datasets & Models for Indian Languages by Mukherjee, Sourabrata, Ojha, Atul Kr, Bansal, Akanksha, Alok, Deepak, McCrae, John P, Dušek, Ondřej

“…Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content. This paper focuses on sentiment transfer, a…”
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Contextual Modulation for Relation-Level Metaphor Identification by Zayed, Omnia, McCrae, John P, Buitelaar, Paul

“…Identifying metaphors in text is very challenging and requires comprehending the underlying comparison. The automation of this cognitive process has gained…”
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Text Detoxification as Style Transfer in English and Hindi by Mukherjee, Sourabrata, Bansal, Akanksha, Ojha, Atul Kr, McCrae, John P, Dušek, Ondřej

“…This paper focuses on text detoxification, i.e., automatically converting toxic text into non-toxic text. This task contributes to safer and more respectful…”
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Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning by Verma, Ghanshyam, Sengupta, Shovon, Simanta, Simon, Chen, Huan, Perge, Janos A, Pillai, Devishree, McCrae, John P, Buitelaar, Paul

“…Personalized recommendations have a growing importance in direct marketing, which motivates research to enhance customer experiences by knowledge graph (KG)…”
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Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia by Prangnawarat, Narumol, McCrae, John P, Hayes, Conor

“…Many researchers have made use of the Wikipedia network for relatedness and similarity tasks. However, most approaches use only the most recent information and…”
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