[PDF] Top 20 Unsupervised Entity Linking with Abstract Meaning Representation

... successful Entity Linking (EL) meth- ods aim to link mentions to their referent en- tities in a structured Knowledge Base (KB) by comparing their respective contexts, of- ten using similarity ...of ... See full document

... named entity concept labels as features; (3) a third scenario using all non-named-entity concept labels as features; and (4) a fourth one where all concept labels of aligned tokens are used as ... See full document

... This paper also shares a similar goal and moti- vation to previous work: improving the encoder- decoder models for natural language generation. There are several directions for enhancement. This paper respects the fact ... See full document

... To train the parser, spans of words must be la- beled with the concept fragments they evoke. Al- though AMR Bank does not label concepts with the words that evoke them, it is possible to build an automatic aligner (§5). ... See full document

... We know that tokens like an, the or to be verbs will very rarely align to any AMR token; similarly, AMR role tokens like :arg0, :quant, :opt1 etc. as well as the instance-of token /, and tokens like temporal-quantity or ... See full document

... 2 Abstract Meaning Representation Abstract Meaning Representation (AMR) (Ba- narescu et ...named entity annotation, modality and negation to represent the semantic ... See full document

... AMR has been successfully used for deeper se- mantic tasks like entity linking (Pan et al., 2015) and abstractive summarization (Mihalcea et al., 2015). Work by Garg et al. (2015) is the first one to make ... See full document

... to entity linking. There have been recent research about entity linking that exploit the graph struc- ture of both the named entities within text and RDF knowledge ...different entity ... See full document

... The root node of the graph is labeled run-01, corresponding to the PropBank (Palmer et al., 2005) definition of the verb ran. run-01 has an outgoing ARG0 arc to a node he, with the usual PropBank semantics. The outgoing ... See full document

... We extract substructures (subtrees) correspond- ing to NPs from the AMR Bank (LDC2014T12). In the AMR Bank, there is no alignment be- tween the words and the concepts (nodes) in the AMR graphs. We obtain this alignment ... See full document

... Consider the two parses for the sentence Silvio Berlusconi gave Lucio Stanca his current role of modernizing Italy’s bureaucracy in Figure 5. At the top, we show the output of a parser (Parse 1) that is not able to deal ... See full document

... example), entity normalization (perhaps wik- ification), quantification, and temporal rela- ...more abstract frames like “Earthquake-01” (:magnitude, :epi- center, :casualties), “CriminalLawsuit-01” (:de- ... See full document

... AMR parsing is the task of converting natural lan- guage sentences into AMR graphs, which are Di- rected Acyclic Graphs (DAGs) in all cases except a few rare controversial cases. This task embeds several common NLP ... See full document

... named entity recognition, semantic relations, temporal entities, ...of Abstract Meaning Representation (AMR) is to build a SemBank of English sentences paired with their whole-sentence logical ... See full document

... Abstract meaning representation (AMR) was in- troduced by Banarescu et ...to abstract meaning away from ...in meaning should be assigned the same AMR, even if they are not ... See full document

... generalize. Abstract rules make use of a POS abstract rule table, which is a table listing every combination of the POS of the concept realization, the child arguments’ labels, and rule RHS with the concept ... See full document

... In recent years, there has been renewed interest in the Natural Language Processing (NLP) com- munity in language understanding and dialogue. Thus, the issue of how the semantic content of language should be represented ... See full document

... Ontology: In this paper, our definition of an on- tology is represented as a tree of entity types. In the following, the variable T represents the total number of nodes of this tree minus one (we don’t count the ... See full document

... (a) An AMR graphical depiction of the meaning of the sen- tence France plans further nuclear cooperation with nu- merous countries . Concepts are represented as ovals, and relations are the directed connections ... See full document

... texts for the mention detection and aims on-the- fly annotation of short texts using agreement ap- proach based on Wikipedia link structure. More- over, these approaches focus on global coherence approaches that ... See full document