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Legal sentence boundary detection using hybrid deep learning and statistical models
Sentence boundary detection (SBD) represents an important first step in natural language processing since accurately identifying sentence boundaries...
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BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
Temporal sentence grounding aims to localize moments relevant to a language description. Recently, DETR-like approaches achieved notable progress by...
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Boundary-Aware Temporal Sentence Grounding with Adaptive Proposal Refinement
Temporal sentence grounding (TSG) in videos aims to localize the temporal interval from an untrimmed video that is relevant to a given query...
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Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task
Named Entity Recognition (NER) is a crucial task in natural language processing (NLP) that identifies specific entities within unstructured text....
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BertHTLG: Graph-Based Microservice Anomaly Detection Through Sentence-Bert Enhancement
Microservice systems in the industry typically comprise a large-scale distributed architecture with numerous services running on different machines....
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Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings
The state-of-the-art semantic segmentation methods have achieved impressive performance on predefined close-set individual datasets, but their...
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Sequential sentence classification in research papers using cross-domain multi-task learning
The automatic semantic structuring of scientific text allows for more efficient reading of research articles and is an important indexing step for...
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Multi sentence description of complex manipulation action videos
Automatic video description necessitates generating natural language statements that encapsulate the actions, events, and objects within a video. An...
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ENER: Named Entity Recognition Model for Ethnic Ancient Books Based on Entity Boundary Detection
Due to the significant differences between the entity identification rules in the field of ethnic ancient books and the existing methods, the general...
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A transformer model for boundary detection in continuous sign language
Sign Language Recognition (SLR) has garnered significant attention from researchers in recent years, particularly the intricate domain of Continuous...
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A Boundary Regression Model for Nested Named Entity Recognition
Recognizing named entities (NEs) is commonly treated as a classification problem, and a class tag for a word or an NE candidate in a sentence is...
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Unknown Intention Detection Method Based on Dynamic Constraint Boundary
Open intent classification is a challenging task in dialogue systems. On the one hand, ensuring the classification quality of known intents is...
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Exploiting Linguistic Features for Effective Sentence-Level Sentiment Analysis in Urdu Language
Rapid increase in the use of social media has led to the generation of gigabytes of information shared by billions of users worldwide. To analyze...
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Cross-Graph Transformer Network for Temporal Sentence Grounding
Temporal sentence grounding aims to retrieve moments associated with the given sentences in untrimmed videos, which is a multi-modal problem and...
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V2T: video to text framework using a novel automatic shot boundary detection algorithm
The generation of natural language descriptions for a video has been reported by many researchers till now. But, it is still the most interesting...
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Boundary-Aware Noise-Resistant Video Moment Retrieval
Video Moment Retrieval (VMR) is a critical task that aims to retrieve relevant video segments based on textual queries from untrimmed videos. This...
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Metric Learning and Adaptive Boundary for Out-of-Domain Detection
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world...
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Knowledge-based sentence semantic similarity: algebraical properties
Determining the extent to which two text snippets are semantically equivalent is a well-researched topic in the areas of natural language processing,...
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An effective text plagiarism detection system based on feature selection and SVM techniques
Text plagiarism has greatly spread in the recent years, it becomes a common problem in several fields such as research manuscripts, textbooks,...
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Financial causal sentence recognition based on BERT-CNN text classification
By studying the causality contained in financial texts, we can further reveal more potential laws of economic activities, such as “factors promoting...
