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Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs [article]

Tarcísio Souza Costa, Simon Gottschalk, Elena Demidova
<span title="2020-04-24">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As new event-centric knowledge graphs emerge, datasets for such questions gain importance. In this paper we present the Event-QA dataset for answering event-centric questions over knowledge graphs.  ...  Event-QA contains 1000 semantic queries and the corresponding English, German and Portuguese verbalisations for EventKG - a recently proposed event-centric knowledge graph with over 1 million events.  ...  In this paper we introduce the novel dataset Event-QA (Event-Centric Question Answering Dataset) for complex event-centric questions over knowledge graphs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.11861v1">arXiv:2004.11861v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57a5fwmz5jf2je6usnoukhbvta">fatcat:57a5fwmz5jf2je6usnoukhbvta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506143046/https://arxiv.org/pdf/2004.11861v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.11861v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning [article]

Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng
<span title="2021-09-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent event-centric reading comprehension datasets focus mostly on event arguments or temporal relations.  ...  To facilitate these tasks, we introduce ESTER, a comprehensive machine reading comprehension (MRC) dataset for Event Semantic Relation Reasoning.  ...  A few noticeable event-centric MRC datasets have been proposed recently.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.08350v2">arXiv:2104.08350v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tzdhlcezcvbw5ggr2mtaxo3gky">fatcat:tzdhlcezcvbw5ggr2mtaxo3gky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210918180524/https://arxiv.org/pdf/2104.08350v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/f9/c7f977f556d2060238fdc1286d057d46958afaf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.08350v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations

Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng
<span title="">2021</span> <i title="Association for Computational Linguistics"> Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing </i> &nbsp; <span class="release-stage">unpublished</span>
Recent event-centric reading comprehension datasets focus mostly on event arguments or temporal relations.  ...  To facilitate these tasks, we introduce ESTER, a comprehensive machine reading comprehension (MRC) dataset for Event Semantic Relation Reasoning.  ...  A few noticeable event-centric MRC datasets have been proposed recently.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/2021.emnlp-main.597">doi:10.18653/v1/2021.emnlp-main.597</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u4dr2lebkrb7jnbcuorbbhgygm">fatcat:u4dr2lebkrb7jnbcuorbbhgygm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211105034027/https://aclanthology.org/2021.emnlp-main.597.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/a7/9da7e99456cb0cd164fbbb367a64aad5326a39fe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/2021.emnlp-main.597"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Creation, Enrichment and Application of Knowledge Graphs [article]

Simon Gottschalk, University, My
<span title="2021-06-07">2021</span>
Vital questions arise when dealing with such events: How to decide which events are relevant, and for whom? How to model these events, to make them understood by knowledge-based systems?  ...  the world, the creation of an event-centric knowledge graph requires recognition of such knowledge, its integration across sources and its representation.  ...  Event-QA is a dataset with 1, 000 semantic queries and the corresponding English, German and Portuguese verbalisations for answering event-centric questions over EventKG [CGD20] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15488/11043">doi:10.15488/11043</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4scfeipf7vbkzlf4nkobgxa57i">fatcat:4scfeipf7vbkzlf4nkobgxa57i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210729064548/https://www.repo.uni-hannover.de/bitstream/handle/123456789/11125/phd_thesis_gottschalk.pdf;jsessionid=80BD1CD87CB8122A363CBD350EE3669F?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ed/6d/ed6db42d37e64bb8830acb94e74ed475ef6e94b9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15488/11043"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Complex Temporal Question Answering on Knowledge Graphs

Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum
<span title="2021-09-01">2021</span>
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much attention in research.  ...  We evaluate EXAQT on TimeQuestions, a large dataset of 16k temporal questions we compiled from a variety of general purpose KG-QA benchmarks.  ...  We thank Philipp Christmann and Jesujoba Alabi from the MPI for Informatics for useful inputs at various stages of this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2109.08935">doi:10.48550/arxiv.2109.08935</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjwyc4bv25a4tgyuewmieuvoge">fatcat:vjwyc4bv25a4tgyuewmieuvoge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220201093839/https://arxiv.org/pdf/2109.08935.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d4/14/d4145870ac200cf49a01d36678e13ccdbe57e7ca.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2109.08935"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>