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- research-articleJune 2022
A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries
JCDL '22: Proceedings of the 22nd ACM/IEEE Joint Conference on Digital LibrariesJune 2022, Article No.: 35, Pages 1–11https://doi.org/10.1145/3529372.3530924Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can be cost-intensive in practice. On the one hand, suitable extraction methods rely on domain-specific ...
- research-articleJanuary 2021
Performing Information Extraction and Ontology Development for Mission Engineering Applications
Journal of Integrated Design & Process Science (JIDPS), Volume 25, Issue 12021, Pages 25–37https://doi.org/10.3233/JID-210012The development and evaluation of Mission Engineering Threads (METs) require an understanding of the operational context for which a system-of-systems (SoS) will be employed as well as an assessment that the performance of a complex SoS is effective and ...
- research-articleDecember 2020
Open Information Extraction from Texts: Part II. Extraction of Semantic Relationships Using Unsupervised Machine Learning
Scientific and Technical Information Processing (SPSTIP), Volume 47, Issue 6Dec 2020, Pages 340–347https://doi.org/10.3103/S0147688220060076AbstractIn this paper we discuss open information extraction from natural language texts. We present an approach to extraction of semantic relationships using unsupervised machine learning. The presented approach is based on deep clustering methods in ...
- research-articleOctober 2020
Demystify official API usage directives with crowdsourced API misuse scenarios, erroneous code examples and patches
ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software EngineeringJune 2020, Pages 925–936https://doi.org/10.1145/3377811.3380430API usage directives in official API documentation describe the contracts, constraints and guidelines for using APIs in natural language. Through the investigation of API misuse scenarios on Stack Overflow, we identify three barriers that hinder the ...
- research-articleFebruary 2020
Discovering, explaining and summarizing controversial discussions in community Q&A sites
ASE '19: Proceedings of the 34th IEEE/ACM International Conference on Automated Software EngineeringNovember 2019, Pages 151–162https://doi.org/10.1109/ASE.2019.00024Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated ...
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- research-articleFebruary 2020
EAL: a toolkit and dataset for entity-aspect linking
JCDL '19: Proceedings of the 18th Joint Conference on Digital LibrariesJune 2019, Pages 430–431https://doi.org/10.1109/JCDL.2019.00104We present a toolkit and dataset for entity-aspect linking. The tool takes as input a sentence and provides the most relevant aspect for each mentioned entity; it is implemented in Python and available as a script and via an online demo. It is ...
- research-articleFebruary 2020
MinScIE: citation-centered open information extraction
JCDL '19: Proceedings of the 18th Joint Conference on Digital LibrariesJune 2019, Pages 386–387https://doi.org/10.1109/JCDL.2019.00083Acknowledging the importance of citations in scientific literature, in this work we present MinScIE, an Open Information Extraction system which provides structured knowledge enriched with semantic information about citations. By comparing our system to ...
- research-articleJanuary 2019
Integrating Local Context and Global Cohesiveness for Open Information Extraction
WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data MiningJanuary 2019, Pages 42–50https://doi.org/10.1145/3289600.3291030Extracting entities and their relations from text is an important task for understanding massive text corpora. Open information extraction (IE) systems mine relation tuples (i.e., entity arguments and a predicate string to describe their relation) from ...
- research-articleFebruary 2020
On the development of an entity-centric timeline extraction tool
ASONAM '18: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningAugust 2018, Pages 821–824This paper reports on an ongoing development of a tool for extracting structured information on events a given target entity participated in from massive collections of textual documents and anchoring these events on a timescale. An overview of the ...
- research-articleAugust 2018
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsAugust 2018, Pages 291–300https://doi.org/10.1145/3233547.3233594Biomedical open information extraction (BioOpenIE) is a novel paradigm to automatically extract structured information from unstructured text with no or little supervision. It does not require any pre-specified relation types but aims to extract all the ...
- posterApril 2018
Open Information Extraction with Global Structure Constraints
WWW '18: Companion Proceedings of the The Web Conference 2018April 2018, Pages 57–58https://doi.org/10.1145/3184558.3186927Extracting entities and their relations from text is an important task for understanding massive text corpora. Open information extraction (IE) systems mine relation tuples (i.e., entity arguments and a predicate string to describe their relation) from ...
- research-articleFebruary 2018
Evaluation of open information extraction methods using Reuters-21578 database
ICMLSC '18: Proceedings of the 2nd International Conference on Machine Learning and Soft ComputingFebruary 2018, Pages 87–92https://doi.org/10.1145/3184066.3184099The following article shows the precision, the recall and the F1-measure for three knowledge extraction methods under Open Information Extraction paradigm. These methods are: ReVerb, OLLIE and ClausIE. For the calculation of these three measures, a ...
- research-articleFebruary 2018
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data MiningFebruary 2018, Pages 556–564https://doi.org/10.1145/3159652.3159712In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain. We focus on four types of valuable intermediate structures (Relation, Attribute, ...
- research-articleOctober 2017
Extracting web information using representation patterns
HotWeb '17: Proceedings of the fifth ACM/IEEE Workshop on Hot Topics in Web Systems and TechnologiesOctober 2017, Article No.: 4, Pages 1–5https://doi.org/10.1145/3132465.3133840Feeding decision support systems with Web information typically requires sifting through an unwieldy amount of information that is available in human-friendly formats only. Our focus is on a scalable proposal to extract information from semi-structured ...
- short-paperJanuary 2017
Answer ranking based on named entity types for question answering
IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and CommunicationJanuary 2017, Article No.: 71, Pages 1–4https://doi.org/10.1145/3022227.3022297Question answering (QA) using triples has been widely studied. One important aspect is answer ranking, that is, which answer candidates should be used to find correct answers. We are proposing a new method using type-matching information for ranking QA ...
- research-articleJanuary 2016
- short-paperOctober 2015
The Impact of Structured Event Embeddings on Scalable Stock Forecasting Models
WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the WebOctober 2015, Pages 121–124https://doi.org/10.1145/2820426.2820467According to the efficient market hypothesis, financial prices are unpredictable. However, meaningful advances have been achieved on anticipating market movements using machine learning techniques. In this work, we propose a novel method to represent ...
- research-articleMay 2015
A Rule-Based Approach to Extracting Relations from Music Tidbits
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide WebMay 2015, Pages 661–666https://doi.org/10.1145/2740908.2741709This paper presents a rule based approach to extracting relations from unstructured music text sources. The proposed approach identifies and disambiguates musical entities in text, such as songs, bands, persons, albums and music genres. Candidate ...
- research-articleNovember 2014
Canonicalizing Open Knowledge Bases
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge ManagementNovember 2014, Pages 1679–1688https://doi.org/10.1145/2661829.2662073Open information extraction approaches have led to the creation of large knowledge bases from the Web. The problem with such methods is that their entities and relations are not canonicalized, leading to redundant and ambiguous facts. For example, they ...
- posterOctober 2013
Discovering facts with boolean tensor tucker decomposition
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge ManagementOctober 2013, Pages 1569–1572https://doi.org/10.1145/2505515.2507846Open Information Extraction (Open IE) has gained increasing research interest in recent years. The first step in Open IE is to extract raw subject--predicate--object triples from the data. These raw triples are rarely usable per se, and need additional ...