A review of relational machine learning for knowledge graphs
Relational machine learning studies methods for the statistical analysis of relational, or
graph-structured, data. In this paper, we provide a review of how such statistical models can …
graph-structured, data. In this paper, we provide a review of how such statistical models can …
Knowledge vault: A web-scale approach to probabilistic knowledge fusion
Recent years have witnessed a proliferation of large-scale knowledge bases, including
Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase …
Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase …
Label noise reduction in entity typing by heterogeneous partial-label embedding
Current systems of fine-grained entity typing use distant supervision in conjunction with
existing knowledge bases to assign categories (type labels) to entity mentions. However, the …
existing knowledge bases to assign categories (type labels) to entity mentions. However, the …
A structured learning approach to temporal relation extraction
Identifying temporal relations between events is an essential step towards natural language
understanding. However, the temporal relation between two events in a story depends on …
understanding. However, the temporal relation between two events in a story depends on …
[PDF][PDF] Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling.
M Surdeanu - TAC, 2013 - clulab.org
We overview two tracks of the TAC2013 Knowledge Base Population (KBP) evaluation:
English slot filling (SF) and temporal slot filling (TSF). The goal of these two KBP tracks is to …
English slot filling (SF) and temporal slot filling (TSF). The goal of these two KBP tracks is to …
[PDF][PDF] Survey of temporal information extraction
Documents contain information that can be used for various applications, such as question
answering (QA) system, information retrieval (IR) system, and recommendation system. To …
answering (QA) system, information retrieval (IR) system, and recommendation system. To …
Timemachine: Timeline generation for knowledge-base entities
We present a method called TIMEMACHINE to generate a timeline of events and relations
for entities in a knowledge base. For example for an actor, such a timeline should show the …
for entities in a knowledge base. For example for an actor, such a timeline should show the …
Improving slot filling performance with attentive neural networks on dependency structures
Slot Filling (SF) aims to extract the values of certain types of attributes (or slots, such as
person: cities\_of\_residence) for a given entity from a large collection of source documents …
person: cities\_of\_residence) for a given entity from a large collection of source documents …
TempCourt: evaluation of temporal taggers on a new corpus of court decisions
The extraction and processing of temporal expressions (TEs) in textual documents have
been extensively studied in several domains; however, for the legal domain it remains an …
been extensively studied in several domains; however, for the legal domain it remains an …
[PDF][PDF] Towards temporal scoping of relational facts based on wikipedia data
A Sil, S Cucerzan - Proceedings of the eighteenth conference on …, 2014 - aclanthology.org
Most previous work in information extraction from text has focused on named-entity
recognition, entity linking, and relation extraction. Less attention has been paid given to …
recognition, entity linking, and relation extraction. Less attention has been paid given to …