Search
Search Results
-
Semantic and Phonological Distances in Free Word Association Tasks
Free word association tasks are used to evaluate different hypotheses proposed by interactive and cascade models of speech processing. The...
-
Problems of Semantic and Syntactic Modeling of Verbs in the Tibetan Corpus
The article presents the latest results and details of modeling the Tibetan verbs in the formal grammar and computer ontology. It describes the...
-
Lexicon-Based Methods vs. BERT for Text Sentiment Analysis
The performance of sentiment analysis methods has greatly increased in recent years. This is due to the use of various models based on the...
-
Real-time event detection in social media streams through semantic analysis of noisy terms
Interactions via social media platforms have made it possible for anyone, irrespective of physical location, to gain access to quick information on...
-
Efficient text-based query based on multi-level and deep-semantic multimedia indexing and retrieval
Recent technological advancements have led to a significant increase in the quantity and accessibility of videos. The decrease in video acquisition...
-
The use of semantic similarity tools in automated content scoring of fact-based essays written by EFL learners
This study searched for open-source semantic similarity tools and evaluated their effectiveness in automated content scoring of fact-based essays...
-
Interlingual Semantic Validation
The validation of machine translation systems has depended on metrics that compare both form and content of the translated text, where direct human...
-
PhraseTransformer: an incorporation of local context information into sequence-to-sequence semantic parsing
Semantic parsing is a challenging task map** a natural language utterance to machine-understandable information representation. Recently,...
-
Public opinion monitoring through collective semantic analysis of tweets
The high popularity of Twitter renders it an excellent tool for political research, while opinion mining through semantic analysis of individual...
-
Semantic graph for word disambiguation in machine translation
This work is an attempt to incorporate semantic context in machine translation using a combination of parallel corpora as well as feedback from human...
-
MCSN: Multi-graph Collaborative Semantic Network for Chinese NER
Named Entity Recognition (NER) is not only one of the most important directions in Natural Language Processing (NLP), but also plays an essential...
-
A semantic approach based on domain knowledge for polarity shift detection using distant supervision
One of the main challenges in sentiment analysis is the polarity shift. Studies have shown that the detection of polarity shifts is very effective to...
-
Text-based emotion recognition using contextual phrase embedding model
In this paper, the proposed approach categories the sentences in the dataset into the various topical documents using the TE-LSTM+SC model. As well...
-
Augmenting the global semantic information between words to heterogeneous graph for deception detection
Detecting deceptive reviews can assist customers in gras** the real evaluation of products and services to make better purchase decisions and help...
-
Semantic proximity assessment in Bhojpuri and Maithili: a word embedding perspective
Natural Language Processing has been extensively researched for languages with abundant resources like English and Spanish, but low-resource...
-
Semantic Enhancement Framework for Robust Speech Recognition
Auto speech recognition (ASR) has been widely used in dialogue systems of various domains, performing as a crucial part of technology. Since the...
-
CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian
The anchorage to real data is one of the main parameters that guarantees the quality and the coverage of lexical resources, especially in the context...
-
Development of a Domain Specific Sentiment Lexicon (DSSL) for Evaluating the Quality of Experience (QoE) of Cloud Gaming
Domain-specific reviews created by the user on cloud gaming platforms offer valuable and cost effective information of high ecological validity....
-
SimiT: A Text Similarity Method Using Lexicon and Dependency Representations
Semantic textual similarity methods are becoming increasingly crucial in text mining research areas such as text retrieval and summarization....
-
The Semantic Roles of Chinese Verbs of Saluting
The human body is the basis of a human’s perception of the world. Verbs describing body actions are ubiquitous in human languages. Among different...