Results 61 to 70 of about 15,528 (226)

ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

, 2017
This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet. ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that
Lowry-Duda, Joanna, Speer, Robyn
core   +1 more source

Target-Aspect-Sentiment Joint Detection: Uncovering Explicit and Implicit Targets Through Aspect-Target-Context-Aware Detection

IEEE Access
Target Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification.
Mohammad Radi, Nazlia Omar, Wandeep Kaur
doaj   +1 more source

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information.

PLoS ONE, 2021
Research into semantic similarity has a long history in lexical semantics, and it has applications in many natural language processing (NLP) tasks like word sense disambiguation or machine translation.
Ponrudee Netisopakul, Gerhard Wohlgenannt, Aleksei Pulich, Zar Zar Hlaing   +3 more
doaj   +1 more source

Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge

, 2018
Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge.
Lowry-Duda, Joanna, Speer, Robyn
core   +1 more source

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder [PDF]

, 2016
We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decoder.
Kiros R., Mikolov T., Sutskever I., Vosoughi S.   +3 more
core   +2 more sources

SemEval-2017 Task 4: Sentiment Analysis in Twitter [PDF]

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017
sentiment analysis, Twitter, classification, quantification, ranking, English ...
Sara Rosenthal, Noura Farra, Preslav Nakov   +2 more
openaire   +3 more sources

Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text

IEEE Access
Aspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Jayakumar Krishnan, Sridevi Subbiah   +4 more
doaj   +1 more source

Multi-Head Self-Attention Gated-Dilated Convolutional Neural Network for Word Sense Disambiguation

IEEE Access, 2023
Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based on its context. WSD is widely used in text classification, machine translation and information retrieval and so on.
Chun-Xiang Zhang, Yu-Long Zhang, Xue-Yao Gao   +2 more
doaj   +1 more source

Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification

Journal of Information and Telecommunication
The class imbalance problem, in which the distribution of different classes in training data is unequal or skewed, is a prevailing problem. This can lead to classifier algorithms being biased, negatively impacting the performance of the minority class ...
Vaishali Ganganwar, Ratnavel Rajalakshmi
doaj   +1 more source

Automatic Accuracy Prediction for AMR Parsing

, 2019
Meaning Representation (AMR) represents sentences as directed, acyclic and rooted graphs, aiming at capturing their meaning in a machine readable format. AMR parsing converts natural language sentences into such graphs.
Frank, Anette, Opitz, Juri
core   +1 more source