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20182026
most citedBringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

129 citations · 663 across the 44 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.CL2021

Survey on English Entity Linking on Wikidata

Cedric Möller, Jens Lehmann, Ricardo Usbeck

Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent incr…

cs.LG2021

Improving Inductive Link Prediction Using Hyper-Relational Facts

Mehdi Ali, Max Berrendorf, Mikhail Galkin +4

For many years, link prediction on knowledge graphs (KGs) has been a purely transductive task, not allowing for reasoning on unseen entities. Recently, increasing efforts are put i…

cs.AI2021★ 61 cited

Trans4E: Link Prediction on Scholarly Knowledge Graphs

Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati +8

The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the quality of AI-based services. In the scholarly domain, KGs describing research publications typically…

cs.CL2021

VOGUE: Answer Verbalization through Multi-Task Learning

Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh +2

In recent years, there have been significant developments in Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA systems only focus…

cs.AI2021

Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings

Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati +1

Among the top approaches of recent years, link prediction using knowledge graph embedding (KGE) models has gained significant attention for knowledge graph completion. Various embe…

cs.CL2021★ 1 cited

VANiLLa : Verbalized Answers in Natural Language at Large Scale

Debanjali Biswas, Mohnish Dubey, Md Rashad Al Hasan Rony +1

In the last years, there have been significant developments in the area of Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA datas…

cs.IR2021

GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval

Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack +3

In the context of social media, geolocation inference on news or events has become a very important task. In this paper, we present the GeoWINE (Geolocation-based Wiki-Image-News-E…

cs.CL2021

Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

Endri Kacupaj, Joan Plepi, Kuldeep Singh +3

This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer…

cs.CL2021

Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers

Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Jens Lehmann

Generating knowledge grounded responses in both goal and non-goal oriented dialogue systems is an important research challenge. Knowledge Graphs (KG) can be viewed as an abstractio…

cs.CL2021

ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation

Endri Kacupaj, Barshana Banerjee, Kuldeep Singh +1

This paper presents ParaQA, a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG). The dataset was created u…

cs.CL2021

Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

Joan Plepi, Endri Kacupaj, Kuldeep Singh +2

Neural semantic parsing approaches have been widely used for Question Answering (QA) systems over knowledge graphs. Such methods provide the flexibility to handle QA datasets with…

cs.CL2021

CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang' +3

In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking (EL) over knowledge bases. CHOLAN consists of a pipeline of two transformer-based models in…