Soumen Chakrabarti | DeepAI

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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...

0 Abhijeet Awasthi, et al. ∙

∙ 11/13/2022

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark

Automated completion of open knowledge bases (KBs), which are constructe...

0 Shubham Mittal, et al. ∙

∙ 10/20/2022

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection

Submodular functions and variants, through their ability to characterize...

0 Abir De, et al. ∙

∙ 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...

0 Indradyumna Roy, et al. ∙

∙ 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...

0 Aditya Sharma, et al. ∙

∙ 10/18/2021

A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification

Relation classification (sometimes called 'extraction') requires trustwo...

0 Arijit Nag, et al. ∙

∙ 09/15/2021

Topic Transferable Table Question Answering

Weakly-supervised table question-answering(TableQA) models have achieved...

0 Saneem Ahmed Chemmengath, et al. ∙

∙ 08/23/2021

Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy

In recent years, inductive graph embedding models, viz., graph neural ne...

0 Chitrank Gupta, et al. ∙

∙ 06/03/2021

Question Answering Over Temporal Knowledge Graphs

Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs...

0 Apoorv Saxena, et al. ∙

∙ 04/18/2021

Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment

Knowledge Graph Completion (KGC) predicts missing facts in an incomplete...

0 Harkanwar Singh, et al. ∙

∙ 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 ...

0 Aman Jain, et al. ∙

∙ 01/21/2021

Joint Autoregressive and Graph Models for Software and Developer Social Networks

Social network research has focused on hyperlink graphs, bibliographic c...

0 Rima Hazra, et al. ∙

∙ 12/13/2020

Adversarial Permutation Guided Node Representations for Link Prediction

After observing a snapshot of a social network, a link prediction (LP) a...

0 Indradyumna Roy, et al. ∙

∙ 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...

0 Keshav Kolluru, et al. ∙

∙ 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...

0 Sahil Shah, et al. ∙

∙ 05/17/2020

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

While traditional systems for Open Information Extraction were statistic...

0 Keshav Kolluru, et al. ∙

∙ 05/02/2020

Knowledge Base Completion: Baseline strikes back (Again)

Knowledge Base Completion has been a very active area recently, where mu...

0 Prachi Jain, et al. ∙

∙ 12/26/2019

Analysis of Reference and Citation Copying in Evolving Bibliographic Networks

Extensive literature demonstrates how the copying of references (links) ...

0 Pradumn Kumar Pandey, et al. ∙

∙ 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...

0 Sahana Ramnath, et al. ∙

∙ 06/21/2019

A Deep Generative Model for Code-Switched Text

Code-switching, the interleaving of two or more languages within a sente...

0 Bidisha Samanta, et al. ∙

∙ 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 ...

0 Bidisha Samanta, et al. ∙

∙ 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,...

0 Vihari Piratla, et al. ∙

∙ 02/08/2019

Multi-task Learning for Target-dependent Sentiment Classification

Detecting and aggregating sentiments toward people, organizations, and e...

0 Divam Gupta, et al. ∙

∙ 11/28/2018

GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

In several natural language tasks, labeled sequences are available in se...

0 Divam Gupta, et al. ∙

∙ 05/12/2018

New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations

Beyond word embeddings, continuous representations of knowledge graph (K...

0 Sandeep Subramanian, et al. ∙

∙ 04/28/2018

Generalizing Across Domains via Cross-Gradient Training

We present CROSSGRAD, a method to use multi-domain training data to lear...

0 Shiv Shankar, et al. ∙

∙ 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...

0 Mayank Singh, et al. ∙

∙ 06/02/2017

Joint Matrix-Tensor Factorization for Knowledge Base Inference

While several matrix factorization (MF) and tensor factorization (TF) mo...

0 Prachi Jain, et al. ∙

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