[PDF] Top 20 Challenges in the Knowledge Base Population Slot Filling Task
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Challenges in the Knowledge Base Population Slot Filling Task
... There are two sources of error that are related to the evaluation itself. The first one is annotation error, by which we mean that annotators made a mistake according to the annotation guidelines. We found that for ... See full document
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Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
... E-commerce knowledge-base. Traditionally, slot filling problem can be regarded as a se- quence labeling task, which assigns an appropriate seman- tic label to each word in the given ... See full document
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Pocket Knowledge Base Population
... human knowledge is contained in text in books, encyclopedias, the internet, and writ- ten ...Building knowledge bases to store, search, and reason over this information is an important problem in natural ... See full document
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Entity Disambiguation for Knowledge Base Population
... extracted knowledge into a KB is fraught with challenges arising from nat- ural language ambiguity, textual inconsistencies, and lack of world ...This task has been variously called entity ... See full document
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Joint Inference for Knowledge Base Population
... Knowledge base population (KBP), the task of ex- tending existing KBs with entities and relations, has been studied in the TAC-KBP evaluations (Ji et ...ing task links entity mentions ... See full document
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Confidence Estimation for Knowledge Base Population
... each slot fill, the system should also provide the ID of the document that justifies this ...given slot, the system just outputs “NIL” without any document ID. The task defines a total of 42 slots, ... See full document
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Knowledge Base Population for Organization Mentions in Email
... Conference Knowledge Base Population (TAC-KBP) track defines several knowl- edge base population tasks, including linking men- tions to corresponding Knowledge Base (KB) ... See full document
5
A Self Attentive Model with Gate Mechanism for Spoken Language Understanding
... and slot filling, is a core component of spoken dialogue ...that slot tags and intents are supposed to share knowledge with each ...between slot and ...and slot filling ... See full document
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Stacked Ensembles of Information Extractors for Knowledge Base Population
... English Slot Filling (ESF) Task in the Knowl- edge Base Population (KBP) track among various other tasks as a part of the Text Analysis Con- ference(TAC)(Surdeanu, 2013; Surdeanu and ... See full document
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A Prospective Analysis On Entity Linking For Domain Specific With Heterogeneous Information Networks
... with knowledge population algorithm, if the network information was ...the knowledge of entity by using context information which are mapped by linking ...the challenges of Entity ... See full document
8
Knowledge Base Population: Successful Approaches and Challenges
... the Knowledge Base Population (KBP) track at the 2010 Text Analysis ...a knowledge base (KB) with these ...and Slot Filling – adding information about an entity to the ... See full document
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DERE: A Task and Domain Independent Slot Filling Framework for Declarative Relation Extraction
... Span Identification. We cast the span identifi- cation problem as a BIO-style sequence-labeling task that predicts the span boundaries. To model overlapping spans, we train one model per span type which outputs ... See full document
6
Combining Supervised and Unsupervised Enembles for Knowledge Base Population
... Ensembling multiple systems is a well known stan- dard approach to improving accuracy in several ma- chine learning applications (Dietterich, 2000). En- sembles have been applied to parsing (Henderson and Brill, 1999), ... See full document
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On the Predicate Argument Structure: Internal and Absorbing Scope
... Valency filling is considered a major mechanism for constructing the semantic structure of the sentence from semantic structures of words. This approach requires a broader view of valency and actant, cover- ing ... See full document
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KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
... Our experiments show that the traditional pipeline approach for KB population is notably limited by error propagation. Performance gains achieved by our best baseline are mainly due to more candidates being passed ... See full document
10
Lean Question Answering over Freebase from Scratch
... (c) who does jodelle ferland play in eclipse? For category 1, the answers provided by direct bi- nary relations will only hurt evaluation scores, but not user experience. For category 2, we counted about 40% of them from ... See full document
5
Evaluating the Quality of a Knowledge Base Populated from Text
... Different classes of evaluation queries can assess different capabilities. For example, asking whether two entry points refer to same KB node evaluates coreference resolution (or entity linking if one of the entry points ... See full document
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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
... Structured knowledge about the world is useful for many natural language processing (NLP) tasks, such as disambiguation, question answering or semantic ...TAC Slot Filling (SF) Shared Task ... See full document
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Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
... one task if there are not many intents of each domain(Bai et al., 2018). Slot filling task is usually treated as a sequence labeling ...for slot filling include con- ditional ... See full document
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On Evaluating Embedding Models for Knowledge Base Completion
... given knowledge base; the representations can be used to infer missing ...the task of knowledge base completion, i.e., the task of inferring new facts from an incomplete knowl- ... See full document
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