[PDF] Top 20 Adapting taggers to Twitter with not so distant supervision

... Twitter contains a vast amount of information, including first stories and breaking news (Petrovic et al., 2010), fingerprints of public opinions (Jiang et al., 2011) and recommendations of relevance to poten- ... See full document

... purpose, so fast, automatic annotation is used to set low-quality (weak) labels on large corpora; a procedure re- ferred to as distant ...compares distant super- vision methods on a large corpus of ... See full document

... of Twitter classifiers trained on hand-labeled data are few (Jiang et ...stead, distant supervision has grown in popular- ...on Twitter, and many others since (Bifet and Frank, 2010; Pak and ... See full document

... as Twitter, since they do not generalise well to unseen ...ply distant supervision (DS) approaches, which learn from large amounts of auto- matically annotated ... See full document

... Go et al. (Go et al., 2009) use distant supervi- sion to label the sentiment associated with Twitter posts. They use tweets containing emoticons to label the training data, as follows. If a tweet con- tains ... See full document

... via distant supervision (see ...and Twitter hashtags – allowing us to examine the similarity of classifiers trained on independent la- bels but intended to detect the same underlying ... See full document

... perform distant supervised ...Although Twitter messages have unique characteristics compared to other corpora, machine learn- ing algorithms are shown to classify tweet sentiment with similar ... See full document

... of distant supervision to train event extractors from ...a distant source of supervision to learn to extract information from ...casting distant supervision as a ... See full document

... explicitly, so that there is high interest in developing systems towards their automatic ...labels, distant supervision, ...and Twitter hashtags (Purver and Battersby, 2012), but mainly ... See full document

... when distant supervision is expanded to a set of noisy la- ...used distant supervision to build a large twitter dataset and proposed a Gated Recurrent Neural Network model for ... See full document

... We chose to apply our approach to relation ex- traction tasks from the biomedical domain since this has proved to be an important problem within these documents (Jensen et al., 2006; Hahn et al., 2012; Cohen and Hunter, ... See full document

... from Twitter may be a advanced task, quite merely applying the standard data extraction technologies that are tried thriving within the internet corpus or different social networking sites to the Twitter ... See full document

... methods for selecting PRA relation paths to iden- tify false negatives. Furthermore we would like to examine the PRA-reduced data in more detail. We would like to find which kind of entity pairs are detected by our ... See full document

... distant supervision. We present an ap- proach for providing partial supervision to a distantly supervised relation extrac- tor using a small number of carefully se- lected ...fine-grained ... See full document

... Supervised approaches to Relation Extrac- tion (RE) are characterized by higher ac- curacy than unsupervised models. Unfor- tunately, their applicability is limited by the need of training data for each rela- tion type. ... See full document

... al- so all the training items for relation classification, and compute in iterative fashion ...models so that they will be capable of incremental learning on large-scale datasets (Chang, ... See full document

... No entity-level encyclopedic analogy dataset is available, so we follow Cao et al. (2017) in eval- uating the effect of joint training on words us- ing the Google analogy set (Mikolov et al., 2013). As shown in ... See full document

... In this paper we focus on relation extraction in the context of a real-world application. The application is a dialog-based city tour guide, based in Edinburgh. One of the features of the system is its pro-active nature, ... See full document

... 3 Accurate Distant Supervision (ADS) Different from DS, we treat the extraction problem as N binary classification problems, one for each relation. We modify the four steps of DS (Section 2). In step (1), ... See full document

... Recently, distant supervision has emerged as an important technique for relation extraction and has attracted increasing attention because of its effec- tive use of readily available databases (Mintz et ... See full document