[PDF] Top 20 Grounded Semantic Parsing for Complex Knowledge Extraction
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Grounded Semantic Parsing for Complex Knowledge Extraction
... learning semantic parsers with indirect super- vision, but existing work focuses almost ex- clusively on question ...tion extraction, yet such methods are often limited to binary relations and none can han- ... See full document
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Evaluating Induced CCG Parsers on Grounded Semantic Parsing
... Bisk and Hockenmaier (2015) performed an in-depth analysis of the types of categories learned and cor- rectly used by their models (the same models as this paper). Their analysis was based on syntactic eval- uation ... See full document
6
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text
... inference techniques. Although the logical infer- ence approach may obtain good precision, it is not widely used for the task due to the fact that full predicate-logic analysis is currently not prac- tical for ... See full document
5
Multilingual eXtended WordNet Knowledge Base: Semantic Parsing and Translation of Glosses
... is semantic parsing of glosses. We used Polaris semantic parser (Moldovan and Blanco, ...automatic extraction would not be feasible, ... See full document
5
Freebase QA: Information Extraction or Semantic Parsing?
... both knowledge base (KB) and semantic pars- ing (SP) ...CCG parsing (Zettlemoyer and Collins, 2005; Zettlemoyer and Collins, 2007; Zettlemoyer and Collins, 2009; Kwiatkowski et ... See full document
5
Complex Question Decomposition for Semantic Parsing
... Semantic parsing is a task which maps natural language utterances into logical forms such as SQL queries that can be executed based on re- lational databases or knowledge bases ...directly. ... See full document
10
Semantic Parsing for Biomedical Event Extraction
... We perform biomedical event extraction with the following steps. At the beginning, abstracts are re- trieved from MEDLINE and split into sentences. Protein names, gene names, trigger words for biomed- ical events ... See full document
5
Refining Grammars for Parsing with Hierarchical Semantic Knowledge
... In order to deal with this limitation, a variety of unlexicalized parsing techniques have been pro- posed. Johnson (1998) annotates each node by its parent category in a tree, and gets significant improvements ... See full document
10
Compositional Semantic Parsing on Semi Structured Tables
... of semantic pars- ing for question answering are the breadth of the knowledge source and the depth of logical ...answering complex questions on semi-structured ta- bles using question-answer pairs as ... See full document
11
Grounded Unsupervised Semantic Parsing
... Popescu et al. (2003, 2004) proposed the PRE- CISE system, which does not require labeled ex- amples and can be directly applied to question answering with a database. The PRECISE sys- tem, however, requires substantial ... See full document
11
Semantic Kernels for Semantic Parsing
... of semantic information conveyed by Brown Clusters (BCs) (Brown et ...and semantic similarity, while also combining them with innovative ...the semantic concepts and BC ...and semantic ... See full document
7
Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
... multilingual semantic parsing, the task of simultaneously parsing sentences from various different languages into their corresponding formal semantic ...new semantic parsing ... See full document
11
Automatic Adaptation of Annotations
... Of course, the comparison between automatic annotation adaptation and previous strategies without using additional training data is unfair. Our work aims to find another way to improve NLP tasks: focusing on the ... See full document
30
Semantic pattern learning through maximum entropy based WSD technique
... The main problem in the addition of this kind of knowledge is the lack of appropriate resources to deal with these tasks. In our research work we are trying to apply these techniques both in En- glish and Spanish. ... See full document
7
Syntagmatic and Paradigmatic Representations of Term Variation
... WordNet 1.6 is a productive source of knowledge for the extraction of semantic variants: In the experiment [MEDIC] + WordNet, semantic variants represent 58.6% of the variants, while the[r] ... See full document
8
QUALIFIER: Question Answering by Lexical Fabric and External Resources
... working on question answering also employ a variety of linguistic resources, such as the part- of-speech tagging, syntactic parsing, semantic relations, named entity extraction, dictiona[r] ... See full document
8
Open Domain Event Attribute Extraction Method
... In Chinese, different expressions of the same sentence cannot use the same rule model. When various relationship types are extracted, these differences are very subtle and easily overlooked. The number of deaths and the ... See full document
7
Grounded Models of Semantic Representation
... Evaluation Tasks Our evaluation experiments compared the models discussed above on three tasks. Two of them have been previously used to evaluate semantic representation models, namely word association and word ... See full document
11
Grounded Semantic Role Labeling
... on grounded semantic role labeling. Besides semantic roles ex- plicitly mentioned in language descriptions, our ap- proach also grounds implicit roles which are not explicitly ...a complex ... See full document
11
Neural Semantic Parsing over Multiple Knowledge bases
... In this paper, we suggest an orthogonal solu- tion: to pool examples from multiple datasets in different domains, each corresponding to a sepa- rate knowledge-base (KB), and train a model over all examples. This ... See full document
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