[PDF] Top 20 Automatic Evaluation of Relation Extraction Systems on Large scale

... Table 3 shows the precision, recall and F-measure for ReVerb and SONEX. Observe that SONEX achieves more than double the precision and recall presented by ReVerb; however both systems pre- sented low results. ... See full document

... In this work, we follow a common way of producing train- ing examples for RE is to use distant supervision (Craven et al., 1999; Mintz et al., 2009): the assumption is that if any sentence mentions two entities which we ... See full document

... defined relation extraction tasks is the Automatic Content Extraction 1 (ACE) program sponsored by the ...A relation was defined over a pair of entity mentions within a single ...major ... See full document

... opinion relation extraction. Given a large number of unlabelled texts, we propose an efficient distantly supervised framework based on pattern matching and neural net- work ...on ... See full document

... with automatic suggestions and enable exploratory search for ...similar extraction patterns into clusters (Li et ...facilitating relation extraction ... See full document

... although large-scale distantly supervised data can be easily obtained via distant supervi- sion, the wrong-labeling problem may harm the performance of RE systems, which makes weakly supervised ... See full document

... information extraction research. (Mintz et al., 2009) uses the large se- mantic knowledge database Freebase for a distant supervi- sion approach to optimize information extraction ...competitive ... See full document

... evaluation campaigns are an important driving fac- tor for the advancement of MT and produce in- sightful “by-products”, such as a huge number of human assessments of machine translation outputs that have been ... See full document

... The evaluation was performed in decreasing de- grees of ...the relation expresses the relation, and then spot-checked ...the relation but were not in the ground truth) were due to ... See full document

... PPI extraction task for our study since most of the bio-RE work are done in this context and also due to relevance of this task for understanding biological ...RE systems on multiple PPI corpora showed a ... See full document

... ymous relation phrases at the same time, thus avoiding the requirement of tagging relation argu- ments of predefined ...input relation instances for ...a relation: its 2 argument se- mantic ... See full document

... tion extraction tools have to remove all uncer- tain statements, identified as hedging or specu- lation, or at least to present them separately from definite ...very large meaning of the word “speculation”, ... See full document

... De Saeger et al., 2009). In recent years, to acquire a wider range knowledge, Open Information Extrac- tion (Open IE) has received much attention (Banko et al., 2007). Open IE identifies relational patterns and instances ... See full document

... The relation between the stock level and the flow rate is the first order differential ...In large scale systems, with the increasing of the order, the order and the number of equations will ... See full document

... facilitate large-scale automatic knowledge extraction from scientific articles, this paper presents an adaptation of the Faster R-CNN object detection model for the task of document layout ... See full document

... MT systems, the issue of multi- word expression (MWE) identification and accurate interpretation from source to target language remains an unsolved ...MT systems reveal that, where MWEs are in- volved, MT ... See full document

... Abstract. This short paper aims at presenting a method for automatically extracting and evaluating MWE in the Europarl corpus. For this purpose we make use of mwetoolkit and utilize its output to find rules for the ... See full document

... In this paper, we proposed a fully automatic model based on syntactic patterns and semantic similarity. We utilized two patterns: First, the most productive and reliable lexico-syntactic pattern was used to ... See full document

... Relations are randomly assigned to annotators from the candidate set, and each annotator will consecutively annotate 20 instances of the same relation before switching to next relation. To en- sure the ... See full document

... Automatic semantic relation extraction is a task for which existing systems still don’t have high performance (Girju et al., 2010), mainly due to its complexity. Considering the Portuguese ... See full document