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LeCoder: A large-scale automated coder for coding errors in word-production tasks. [PDF]

Behav Res Methods
Hu S, DuVal D, Stark BC, Nozari N.
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Combining Taxonomies using Word2vec

Proceedings of the 2016 ACM Symposium on Document Engineering, 2016
Taxonomies have gained a broad usage in a variety of fields due to their extensibility, as well as their use for classification and knowledge organization. Of particular interest is the digital document management domain in which their hierarchical structure can be effectively employed in order to organize documents into content-specific categories ...
Swoboda, Tobias, Hemmje, Matthias, Dascalu, Mihai, Trausan-Matu, Stefan   +3 more
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Acceleration of Word2vec Using GPUs

2016
Word2vec is a widely used word embedding toolkit which generates word vectors by training input corpus. Since word vector can represent an exponential number of word cluster and enables reasoning of words with simple algebraic operations, it has become a widely used representation for the subsequent NLP tasks.
Seulki Bae, Youngmin Yi
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Scenario-Based Microservice Retrieval Using Word2Vec

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 2018
Microservice architecture (MSA) is an emerging software architectural style, which differs fundamentally from the monolithic, layered architecture. During the development and maintenance of microservice systems, how to provide an effective service retrieval mechanism is a critical challenge to avoid the problems of rework and duplicate code. Meanwhile,
Shang-Pin Ma, Yen Chuang, Ci-Wei Lan, Hsi-Min Chen, Chun-Ying Huang, Chia-Yu Li   +5 more
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Arabic Text Keywords Extraction using Word2vec

2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), 2019
Automatic keywords extraction is very useful for text summarization, information retrieval and other natural language applications. This paper proposes a keyword extraction method that extracts keywords from Arabic documents based on the semantic similarity of words.
Dima Suleiman, Arafat A. Awajan, Wael al Etaiwi   +2 more
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Application of Output Embedding on Word2Vec

2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
The word vector of distributed representation that embeds the semantic relationship of words into a vector using Word2Vec has attracted attention in recent years. Furthermore, this word vector has become widely to be used in the field of Natural Language Processing such as parsing and document classification, and its effectiveness has been reported ...
Shuto Uchida, Tomohiro Yoshikawa, Takeshi Furuhashi   +2 more
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Chatbot using word2vec

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2020
HASHIMOTO Tomomi, TAO Xingyu
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Word2vec and Clustering based Twitter Sentiment Analysis [Word2vec ve Kümeleme Tabanli Twitter Duygu Analizi]

2019
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 September 2018 through 30 September 2018 -- --
Çoban O., Özyer G.T.
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Augmenting word2vec with latent

Proceedings of the 2019 Conference of the North, 2019
Akshay Budhkar, Frank Rudzicz
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Sentiment Analysis Using Word2vec And Long Short-Term Memory (LSTM) For Indonesian Hotel Reviews

Procedia Computer Science, 2021
Retno Kusumaningrum, Adi Wibowo
exaly