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20182026
most citedSelect, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering

14 citations · 49 across the 22 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 4 cited

Multi-Row, Multi-Span Distant Supervision For Table+Text Question

Vishwajeet Kumar, Yash Gupta, Saneem Chemmengath +4

Question answering (QA) over tables and linked text, also called TextTableQA, has witnessed significant research in recent years, as tables are often found embedded in documents al…

cs.CL2021

Topic Transferable Table Question Answering

Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj +5

Weakly-supervised table question-answering(TableQA) models have achieved state-of-art performance by using pre-trained BERT transformer to jointly encoding a question and a table t…

cs.CL2021

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

Yannis Katsis, Saneem Chemmengath, Vishwajeet Kumar +8

Recent advances in transformers have enabled Table Question Answering (Table QA) systems to achieve high accuracy and SOTA results on open domain datasets like WikiTableQuestions a…

cs.CL2021★ 1 cited

WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems

Oishik Chatterjee, Isha Pandey, Aashish Waikar +2

Solving math word problems (MWPs) is an important and challenging problem in natural language processing. Existing approaches to solve MWPs require full supervision in the form of…

cs.CV2021★ 14 cited

Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering

Aman Jain, Mayank Kothyari, Vishwajeet Kumar +3

Multimodal IR, spanning text corpus, knowledge graph and images, called outside knowledge visual question answering (OKVQA), is of much recent interest. However, the popular data s…

cs.CL2021

Meta-Learning for Effective Multi-task and Multilingual Modelling

Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar +2

Natural language processing (NLP) tasks (e.g. question-answering in English) benefit from knowledge of other tasks (e.g. named entity recognition in English) and knowledge of other…