42 citations · 121 across the 24 of their papers we have counts for
9 papers · 1 filter
BanglaQuAD: A Bengali Open-domain Question Answering Dataset
Md Rashad Al Hasan Rony, Sudipto Kumar Shaha, Rakib Al Hasan +4
Bengali is the seventh most spoken language on earth, yet considered a low-resource language in the field of natural language processing (NLP). Question answering over unstructured…
Semantic Answer Type and Relation Prediction Task (SMART 2021)
Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo +5
Each year the International Semantic Web Conference organizes a set of Semantic Web Challenges to establish competitions that will advance state-of-the-art solutions in some proble…
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann +1
Entity linking - connecting entity mentions in a natural language utterance to knowledge graph (KG) entities is a crucial step for question answering over KGs. It is often based on…
Pretrained Transformers for Simple Question Answering over Knowledge Graphs
D. Lukovnikov, A. Fischer, J. Lehmann
Answering simple questions over knowledge graphs is a well-studied problem in question answering. Previous approaches for this task built on recurrent and convolutional neural netw…
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
Firas Kassawat, Debanjan Chaudhuri, Jens Lehmann
Attention-based encoder-decoder neural network models have recently shown promising results in goal-oriented dialogue systems. However, these models struggle to reason over and inc…
Using a KG-Copy Network for Non-Goal Oriented Dialogues
Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Simon Jordan +1
Non-goal oriented, generative dialogue systems lack the ability to generate answers with grounded facts. A knowledge graph can be considered an abstraction of the real world consis…
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari +3
Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years. In this article, we provide an ov…
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati +2
Translation-based embedding models have gained significant attention in link prediction tasks for knowledge graphs. TransE is the primary model among translation-based embeddings a…
SimDoc: Topic Sequence Alignment based Document Similarity Framework
Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani +3
Document similarity is the problem of estimating the degree to which a given pair of documents has similar semantic content. An accurate document similarity measure can improve sev…