Cover Image

Question Classification with Deep Contextualized Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Haozheng, Liu, Ningwei, Feng, Charles
Format:	Preprint
Published:	2019
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
by: Pan, Zhenyu, et al.
Published: (2024)

Transformers, Contextualism, and Polysemy
by: Grindrod, Jumbly
Published: (2024)

Transformer Enhanced Relation Classification: A Comparative Analysis of Contextuality, Data Efficiency and Sequence Complexity
by: Jing, Bowen, et al.
Published: (2025)

RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
by: He, Haoyu, et al.
Published: (2025)

The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters
by: Zhou, Chulun, et al.
Published: (2025)

DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
by: Chen, Haotian, et al.
Published: (2026)

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
by: Luo, Haozheng, et al.
Published: (2026)

SMUTF: Schema Matching Using Generative Tags and Hybrid Features
by: Zhang, Yu, et al.
Published: (2024)

Structural Deep Encoding for Table Question Answering
by: Mouravieff, Raphaël, et al.
Published: (2025)

FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
by: Luo, Haozheng, et al.
Published: (2026)

Comparison of Large Language Models for Generating Contextually Relevant Questions
by: Molina, Ivo Lodovico, et al.
Published: (2024)

Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data
by: Musaev, Ruslan
Published: (2024)

Large Language Models for Multi-Choice Question Classification of Medical Subjects
by: Ponce-López, Víctor
Published: (2024)

Attention Basin: Why Contextual Position Matters in Large Language Models
by: Yi, Zihao, et al.
Published: (2025)

A Dataset of Open-Domain Question Answering with Multiple-Span Answers
by: Luo, Zhiyi, et al.
Published: (2024)

LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
by: Khurana, Tanisha, et al.
Published: (2024)

Multimodal Commonsense Knowledge Distillation for Visual Question Answering
by: Yang, Shuo, et al.
Published: (2024)

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
by: Lee, Jihyung, et al.
Published: (2025)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams
by: Muhtar, Dilxat, et al.
Published: (2024)

SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
by: Liu, Zekang, et al.
Published: (2025)

Decoupled Alignment for Robust Plug-and-Play Adaptation
by: Luo, Haozheng, et al.
Published: (2024)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents
by: Rosset, Corby, et al.
Published: (2024)

DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
by: Wang, Xinyi, et al.
Published: (2025)

Contextual Document Embeddings
by: Morris, John X., et al.
Published: (2024)

Token Masking Improves Transformer-Based Text Classification
by: Xu, Xianglong, et al.
Published: (2025)

SAFT: Structure-aware Transformers for Textual Interaction Classification
by: Wang, Hongtao, et al.
Published: (2025)

Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
by: Hsu, Aliyah R., et al.
Published: (2024)

RCStat: A Statistical Framework for using Relative Contextualization in Transformers
by: Mahapatra, Debabrata, et al.
Published: (2025)

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering
by: Amirizaniani, Maryam, et al.
Published: (2026)

CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation
by: Ke, Rui, et al.
Published: (2025)

Open Data Synthesis For Deep Research
by: Xia, Ziyi, et al.
Published: (2025)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
by: Zhai, Weihe, et al.
Published: (2023)

HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
by: Liu, Ye, et al.
Published: (2023)

Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering
by: Liu, Boyuan, et al.
Published: (2025)

Self-Correction Distillation for Structured Data Question Answering
by: Zhu, Yushan, et al.
Published: (2025)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
by: Liu, Runxuan, et al.
Published: (2025)

Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality
by: Kang, Xin, et al.
Published: (2025)

Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
by: Tao, Mingxu, et al.
Published: (2024)

Deep Learning-based Sentiment Classification: A Comparative Survey
by: Kayed, Mohamed, et al.
Published: (2023)

Improving Grammatical Error Correction via Contextual Data Augmentation
by: Wang, Yixuan, et al.
Published: (2024)