Search Results for author:
Found 34 papers, 24 papers with code
Proxy Indicators for the Quality of Open-domain Dialogues
The automatic evaluation of open-domain dialogues remains a largely unsolved challenge.
Ranked #1 on
Dialogue Evaluation
on USR-PersonaChat
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
The development and integration of knowledge graphs and language models has significance in artificial intelligence and natural language processing.
Leveraging LLMs in Scholarly Knowledge Graph Question Answering
This paper presents a scholarly Knowledge Graph Question Answering (KGQA) that answers bibliographic natural language questions by leveraging a large language model (LLM) in a few-shot manner.
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
In this work, we present a web application named DBLPLink, which performs entity linking over the DBLP scholarly knowledge graph.
Biomedical Entity Linking with Triple-aware Pre-Training
However, a difficulty of linking the biomedical entities using current large language models (LLM) trained on a general corpus is that biomedical entities are scarcely distributed in texts and therefore have been rarely seen during training by the LLM.
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing.
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
To further improve the results, we instruct the model to produce a truncated version of the KG embedding for each entity.
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG).
AmQA: Amharic Question Answering Dataset
Hence, to foster the research in Amharic QA, we present the first Amharic QA (AmQA) dataset.
The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning
Social media platforms provide a continuous stream of real-time news regarding crisis events on a global scale.
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality.
Transformer with Tree-order Encoding for Neural Program Generation
While a considerable amount of semantic parsing approaches have employed RNN architectures for code generation tasks, there have been only few attempts to investigate the applicability of Transformers for this task.
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability.
Modern Baselines for SPARQL Semantic Parsing
In this work, we focus on the task of generating SPARQL queries from natural language questions, which can then be executed on Knowledge Graphs (KGs).
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
Task-oriented dialogue generation is challenging since the underlying knowledge is often dynamic and effectively incorporating knowledge into the learning process is hard.
RoMe: A Robust Metric for Evaluating Natural Language Generation
Secondly, it should consider the grammatical quality of the generated sentence.
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
The ability to have the same experience for different user groups (i. e., accessibility) is one of the most important characteristics of Web-based systems.
Ranked #1 on
Knowledge Base Question Answering
on QALD-9-Plus
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust.
Semantic Answer Type and Relation Prediction Task (SMART 2021)
The Semantic Answer Type and Relation Prediction Task (SMART) task is one of the ISWC 2021 Semantic Web challenges.
Survey on English Entity Linking on Wikidata
(3) How do current Entity Linking approaches exploit the specific characteristics of Wikidata?
Knowledge Graph Question Answering using Graph-Pattern Isomorphism
In this paper, we present a novel QA approach, dubbed TeBaQA.
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Each year the International Semantic Web Conference accepts a set of Semantic Web Challenges to establish competitions that will advance the state of the art solutions in any given problem domain.
Language Model Transformers as Evaluators for Open-domain Dialogues
Computer-based systems for communication with humans are a cornerstone of AI research since the 1950s.
Message Passing for Hyper-Relational Knowledge Graphs
We also demonstrate that existing benchmarks for evaluating link prediction (LP) performance on hyper-relational KGs suffer from fundamental flaws and thus develop a new Wikidata-based dataset - WD50K.
Ranked #2 on
Link Prediction
on JF17K
Treating Dialogue Quality Evaluation as an Anomaly Detection Problem
Dialogue systems for interaction with humans have been enjoying increased popularity in the research and industry fields.
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composition of cross-platform service workflows.
Template-based Question Answering using Recursive Neural Networks
When the top-2 most likely templates were considered the model achieves an accuracy of 0. 945 on the LC-QuAD dataset and 0. 786 on the QALD-7 dataset.
Entity Linking in 40 Languages using MAG
A plethora of Entity Linking (EL) approaches has recently been developed.
Using Multi-Label Classification for Improved Question Answering
In particular, we develop a multi-label classification-based metasystem for question answering over 6 existing systems using an innovative set of 14 question features.
BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking
The main advantage of our benchmarks is that they can be readily generated at any time.
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Currently, the best performing approaches rely on trained mono-lingual models.
Self-Wiring Question Answering Systems
Based on these descriptions, our approach will be able to automatically compose QA systems using a data-driven approach automatically.
N\mbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format
Extracting Linked Data following the Semantic Web principle from unstructured sources has become a key challenge for scientific research.
NIF4OGGD - NLP Interchange Format for Open German Governmental Data
In the last couple of years the amount of structured open government data has increased significantly.
