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01/10/2023
Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers
Inference-time adaptation methods for semantic parsing are useful for le...
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11/13/2022
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Automated completion of open knowledge bases (KBs), which are constructe...
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10/20/2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Submodular functions and variants, through their ability to characterize...
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10/20/2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
The graph retrieval problem is to search in a large corpus of graphs for...
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10/12/2022
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Recent years have witnessed much interest in temporal reasoning over kno...
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10/18/2021
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
Relation classification (sometimes called 'extraction') requires trustwo...
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09/15/2021
Topic Transferable Table Question Answering
Weakly-supervised table question-answering(TableQA) models have achieved...
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08/23/2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy
In recent years, inductive graph embedding models, viz., graph neural ne...
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06/03/2021
Question Answering Over Temporal Knowledge Graphs
Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs...
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04/18/2021
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
Knowledge Graph Completion (KGC) predicts missing facts in an incomplete...
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03/09/2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Multimodal IR, spanning text corpus, knowledge graph and images, called ...
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01/21/2021
Joint Autoregressive and Graph Models for Software and Developer Social Networks
Social network research has focused on hyperlink graphs, bibliographic c...
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12/13/2020
Adversarial Permutation Guided Node Representations for Link Prediction
After observing a snapshot of a social network, a link prediction (LP) a...
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10/07/2020
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
A recent state-of-the-art neural open information extraction (OpenIE) sy...
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10/04/2020
NLP Service APIs and Models for Efficient Registration of New Clients
State-of-the-art NLP inference uses enormous neural architectures and mo...
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05/17/2020
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
While traditional systems for Open Information Extraction were statistic...
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05/02/2020
Knowledge Base Completion: Baseline strikes back (Again)
Knowledge Base Completion has been a very active area recently, where mu...
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12/26/2019
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks
Extensive literature demonstrates how the copying of references (links) ...
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11/03/2019
Scene Graph based Image Retrieval – A case study on the CLEVR Dataset
With the prolification of multimodal interaction in various domains, rec...
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06/21/2019
A Deep Generative Model for Code-Switched Text
Code-switching, the interleaving of two or more languages within a sente...
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06/13/2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Multilingual writers and speakers often alternate between two languages ...
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06/05/2019
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Given a small corpus D_T pertaining to a limited set of focused topics,...
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02/08/2019
Multi-task Learning for Target-dependent Sentiment Classification
Detecting and aggregating sentiments toward people, organizations, and e...
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11/28/2018
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
In several natural language tasks, labeled sequences are available in se...
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05/12/2018
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations
Beyond word embeddings, continuous representations of knowledge graph (K...
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04/28/2018
Generalizing Across Domains via Cross-Gradient Training
We present CROSSGRAD, a method to use multi-domain training data to lear...
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02/13/2018
Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables
How can we find state-of-the-art papers for a given task? Is it possible...
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06/02/2017