[PDF] Top 20 Jointly Embedding Entities and Text with Distant Supervision

... by embedding entities and text into a joint space, we are able to leverage complementary information to get higher performance in both intrinsic and extrinsic tasks; an oracle model nearly matches a ... See full document

... review text would enhance the retrieval of perti- nent ...a text classifica- tion task and solved by annotating the data and building a supervised learning ...a distant supervision ap- proach ... See full document

... word embedding techniques for projecting the texts from debate portals into an annotated argument space, re- lying on the argument model of Toulmin ...argumentative text segments and their ...apply ... See full document

... the text of NYT articles by using Stan- ford Named Entity Tagger (Finkel et ...the entities in Free- base by using exact string ...two entities that have a relation in Freebase, then a corre- ... See full document

... annotated text in RE, instead finding richly structured KBs such as DBpe- dia (Bizer et ...unlabeled text. This automatically generated labeled text can be used as training data for supervised ...the ... See full document

... the distant supervision process to map values from the knowledge base to text even when they do not match exactly; and feature aggrega- tion, which responds to small, ambiguous contexts by ... See full document

... a distant source of supervision for extraction of their at- tributes from user-generated ...in distant supervision for information ex- traction, our approach also takes into ac- count network ... See full document

... There has been a large amount of research in the area of sen- timent classification. Traditionally most of it has focused on classifying larger pieces of text, like reviews. Tweets (and microblogs in general) are ... See full document

... between entities in Wikipedia for the most frequent relations in ...tant supervision assumption or removing ambiguous training data, they also do not use fine-grained rela- tions and their approach is not ... See full document

... Distant supervision is a successful paradigm that gathers training data for information extraction systems by automatically aligning vast databases of facts with ...the distant supervision ... See full document

... used distant super- vision to automatically produce training data via aligning KBs and ...two entities have a re- lation in KBs, all sentences which contain these two enti- ties will express the same ... See full document

... In this paper, we investigate a different ap- proach via distant supervision (see e.g. (Mintz et al., 2009)). By using conventional markers of emotional content within the texts themselves as a surrogate ... See full document

... ambiguous entities to the en- tries in Wikipedia, whereas our ultimate goal is to populate the structured knowledge repository, ...named entities using Freebase which contains much more entries but less ... See full document

... The task of attitude recognition toward named en- tities or events, including opinion holder identifi- cation from full texts did not attract much atten- tion. In 2014, the TAC evaluation conference in Knowledge Base ... See full document

... base classes and two to four of their relations are selected (Table 2). The selected classes are subclasses of PER (Musical Artist, Politician), LOC (River), ORG (Business (Operation)), Ed- ucation(al Institution)) or ... See full document

... Distant supervision algorithms learn informa- tion extraction models given only large read- ily available databases and text ...the text, and facts in the database must be mentioned at least ... See full document

... without text- bound annotation, using instead known relations from a knowledge base and a large textual corpus from an appropri- ate ...tant supervision approaches use off-the- shelf named entity ... See full document

... using distant supervision A number of works have focused on extracting new instances of relations using information from textual mentions, without sophisticated model- ing of prior knowledge from the ... See full document

... approaches, distant supervision or self-supervised approaches, exploit big knowledge bases such as Freebase (2008) to automatically label entities in text and use the annotated text to ... See full document

... of distant supervision, existing struc- tured sources of the same ...in text and in pre-existing structured DBs such as Freebase, we are able to reason about unstructured and structured data in ... See full document