On the public citation graph
From Question to Text
0 signed · 86 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-662-44848-9_11openalex-snapshot
Open Question Answering with Weakly Supervised Embedding Models
inferredcites →https://doi.org/10.1038/nrn755openalex-snapshot
Control of goal-directed and stimulus-driven attention in the brain
inferredcites →https://doi.org/10.1080/135062800394667openalex-snapshot
The Dynamic Representation of Scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.10openalex-snapshot
Stacked Attention Networks for Image Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.499openalex-snapshot
Where to Look: Focus Regions for Visual Question Answering
inferredcites →https://doi.org/10.1109/tkde.2016.2622705openalex-snapshot
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base
inferredcites →https://doi.org/10.1109/tkde.2017.2669982openalex-snapshot
Data-Driven Answer Selection in Community QA Systems
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1229179.1229180openalex-snapshot
An exploration of the principles underlying redundancy-based factoid question answering
inferredcites →https://doi.org/10.1145/1367497.1367561openalex-snapshot
Finding the right facts in the crowd
inferredcites →https://doi.org/10.1145/1571941.1571974openalex-snapshot
Ranking community answers by modeling question-answer relationships via analogical reasoning
inferredcites →https://doi.org/10.1145/1835449.1835518openalex-snapshot
Evaluating and predicting answer quality in community QA
inferredcites →https://doi.org/10.1145/2180868.2180869openalex-snapshot
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives
inferredcites →https://doi.org/10.1145/2187980.2188199openalex-snapshot
Exploiting user profile information for answer ranking in cQA
inferredcites →https://doi.org/10.1145/2457465.2457467openalex-snapshot
Transfer joint embedding for cross-domain named entity recognition
inferredcites →https://doi.org/10.1145/2484028.2484072openalex-snapshot
Exploiting user feedback to learn to rank answers in q&a forums
inferredcites →https://doi.org/10.1145/2600428.2609489openalex-snapshot
Mouse movement during relevance judging
inferredcites →https://doi.org/10.1145/2600428.2609516openalex-snapshot
Effects of task and domain on searcher attention
inferredcites →https://doi.org/10.1145/2766462.2767745openalex-snapshot
Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience
inferredcites →https://doi.org/10.1145/2911451.2911508openalex-snapshot
Document Retrieval Using Entity-Based Language Models
inferredcites →https://doi.org/10.1145/2911451.2911535openalex-snapshot
Robust and Collective Entity Disambiguation through Semantic Embeddings
inferredcites →https://doi.org/10.1145/502115.502117openalex-snapshot
Scaling question answering to the web
inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot
Optimizing search engines using clickthrough data
inferredcites →https://doi.org/10.1145/860435.860444openalex-snapshot
Structured use of external knowledge for event-based open domain question answering
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1609/aaai.v29i1.9178openalex-snapshot
Question/Answer Matching for CQA System via Combining Lexical and Sequential Information
inferredcites →https://doi.org/10.1609/aaai.v30i1.10369openalex-snapshot
Joint Word Segmentation, POS-Tagging and Syntactic Chunking
inferredcites →https://doi.org/10.18653/v1/2020.acl-mainopenalex-snapshot
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/d13-1020openalex-snapshot
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/d13-1160openalex-snapshot
Semantic Parsing on Freebase from Question-Answer Pairs
inferredcites →https://doi.org/10.18653/v1/d15-1197openalex-snapshot
A Strong Lexical Matching Method for the Machine Comprehension Test
inferredcites →https://doi.org/10.18653/v1/p16-1041openalex-snapshot
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
inferredcites →https://doi.org/10.18653/v1/p16-1086openalex-snapshot
Text Understanding with the Attention Sum Reader Network
inferredcites →https://doi.org/10.18653/v1/p16-1123openalex-snapshot
Relation Classification via Multi-Level Attention CNNs
inferredcites →https://doi.org/10.18653/v1/p16-1223openalex-snapshot
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
inferredcites →https://doi.org/10.18653/v1/p17-1096openalex-snapshot
Semi-Supervised QA with Generative Domain-Adaptive Nets
inferredcites →https://doi.org/10.18653/v1/p17-1168openalex-snapshot
Gated-Attention Readers for Text Comprehension
inferredcites →https://doi.org/10.18653/v1/w16-0103openalex-snapshot
Attention-Based Convolutional Neural Network for Machine Comprehension
inferredcites →https://doi.org/10.3115/1073012openalex-snapshot
Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01
inferredcites →https://doi.org/10.3115/1219840openalex-snapshot
Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05
inferredcites →https://doi.org/10.3115/v1/d14-1067openalex-snapshot
Question Answering with Subgraph Embeddings
inferredcites →https://doi.org/10.3115/v1/d14-1071openalex-snapshot
Joint Relational Embeddings for Knowledge-based Question Answering
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/p14-1069openalex-snapshot
Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features
inferredcites →https://doi.org/10.3115/v1/p14-1090openalex-snapshot
Information Extraction over Structured Data: Question Answering with Freebase
inferredcites →https://doi.org/10.3115/v1/p14-1091openalex-snapshot
Knowledge-Based Question Answering as Machine Translation
inferredcites →https://doi.org/10.3115/v1/p15-1024openalex-snapshot
Learning Answer-Entailing Structures for Machine Comprehension
inferredcites →https://doi.org/10.3115/v1/p15-1026openalex-snapshot
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
inferredcites →https://doi.org/10.3115/v1/p15-1121openalex-snapshot
Machine Comprehension with Discourse Relations
inferredcites →https://doi.org/10.3115/v1/p15-2115openalex-snapshot
Machine Comprehension with Syntax, Frames, and Semantics
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1506.02075openalex-snapshot
Large-scale Simple Question Answering with Memory Networks
inferredcites →https://doi.org/10.48550/arxiv.1506.03340openalex-snapshot
Teaching Machines to Read and Comprehend
inferredcites →https://doi.org/10.48550/arxiv.1508.04025openalex-snapshot
Effective Approaches to Attention-based Neural Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1511.02301openalex-snapshot
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
inferredcites →https://doi.org/10.48550/arxiv.1511.02793openalex-snapshot
Generating Images from Captions with Attention
inferredcites →https://doi.org/10.48550/arxiv.1512.01337openalex-snapshot
Neural Generative Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1603.08884openalex-snapshot
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
inferredcites →https://doi.org/10.48550/arxiv.1607.02250openalex-snapshot
Consensus Attention-based Neural Networks for Chinese Reading Comprehension
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-83793-7_17openalex-snapshot
Learning to Integrate Dynamic Knowledge for Enhanced Response Generation in Multi Domain Dialogue System
inferred← citeshttps://doi.org/10.1007/978-981-99-8178-6_37openalex-snapshot
FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution
inferred← citeshttps://doi.org/10.1007/s00521-021-06748-3openalex-snapshot
Recent progress in leveraging deep learning methods for question answering
inferred← citeshttps://doi.org/10.1007/s10618-022-00891-8openalex-snapshot
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121919openalex-snapshot
Community answer recommendation based on heterogeneous semantic fusion
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103112openalex-snapshot
Predicting the quality of answers with less bias in online health question answering communities
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102605openalex-snapshot
Exclusive feature selection and multi-view learning for Alzheimer’s Disease
inferred← citeshttps://doi.org/10.1109/icfsp62546.2024.10785402openalex-snapshot
Smoothing Conversation Using Dialogue Agents Accompanied by Advisory Agent Inside
inferred← citeshttps://doi.org/10.1145/3368960openalex-snapshot
Emotional Conversation Generation Based on a Bayesian Deep Neural Network
inferred← citeshttps://doi.org/10.1145/3380954openalex-snapshot
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning
inferred← citeshttps://doi.org/10.1145/3406109openalex-snapshot
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
inferred← citeshttps://doi.org/10.1145/3406116openalex-snapshot
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities
inferred← citeshttps://doi.org/10.1145/3457533openalex-snapshot
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
inferred← citeshttps://doi.org/10.1145/3468270openalex-snapshot
Question Tagging via Graph-guided Ranking
inferred← citeshttps://doi.org/10.1145/3498557openalex-snapshot
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering
inferred← citeshttps://doi.org/10.1145/3744663openalex-snapshot
Evaluation of Question Answering Systems: Complexity of Judging a Natural Language
inferred← citeshttps://doi.org/10.31838/jcr.07.14.253openalex-snapshot
KNOWLEDGE-ENHANCED ATTENTIVE LEARNING FOR ANSWER SELECTION IN COMMUNITY QUESTION ANSWERING SYSTEMS
inferred← citeshttps://doi.org/10.3390/app12041881openalex-snapshot
AraConv: Developing an Arabic Task-Oriented Dialogue System Using Multi-Lingual Transformer Model mT5
inferred← citeshttps://doi.org/10.48550/arxiv.2101.11556openalex-snapshot
Powering COVID-19 community Q&A with Curated Side Information
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.