Weight Annotation in Information Extraction - Archive ouverte HAL Access content directly
Conference Papers Year :

Weight Annotation in Information Extraction

(1, 2) , (3) , (1) , (4, 5)
1
2
3
4
5

Abstract

The framework of document spanners abstracts the task of information extraction from text as a function that maps every document (a string) into a relation over the document's spans (intervals identified by their start and end indices). For instance, the regular spanners are the closure under the Relational Algebra (RA) of the regular expressions with capture variables, and the expressive power of the regular spanners is precisely captured by the class of vset-automata-a restricted class of transducers that mark the endpoints of selected spans. In this work, we embark on the investigation of document spanners that can annotate extractions with auxiliary information such as confidence, support, and confidentiality measures. To this end, we adopt the abstraction of provenance semirings by Green et al., where tuples of a relation are annotated with the elements of a commutative semiring, and where the annotation propagates through the (positive) RA operators via the semiring operators. Hence, the proposed spanner extension, referred to as an annotator, maps every string into an annotated relation over the spans. As a specific instantiation, we explore weighted vset-automata that, similarly to weighted automata and transducers, attach semiring elements to transitions. We investigate key aspects of expressiveness, such as the closure under the positive RA, and key aspects of computational complexity, such as the enumeration of annotated answers and their ranked enumeration in the case of numeric semirings. For a number of these problems, fundamental properties of the underlying semiring, such as positivity, are crucial for establishing tractability.
Fichier principal
Vignette du fichier
LIPIcs-ICDT-2020-8-2.pdf (675.86 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03104155 , version 1 (08-01-2021)

Identifiers

Cite

Johannes Doleschal, Benny Kimelfeld, Wim Martens, Liat Peterfreund. Weight Annotation in Information Extraction. ICDT 2020 - 23rd International Conference on Database Theory, Mar 2020, Copenhague / Virtual, Denmark. ⟨10.4230/LIPIcs.ICDT.2020.8⟩. ⟨hal-03104155⟩
35 View
80 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More