Báo cáo khoa học: "Pattern Learning for Relation Extraction with a Hierarchical Topic Model" pptx

... not generalizable across all pairs with the same relation. Finally φ A contains the patterns that are observed across most pairs related with the same relation. φ A is the topic model of interest for ... that are expressing the relation and those that are ambiguous and can be applied across relations. In this way, high-precision extraction patterns can be learned without th...

Ngày tải lên: 30/03/2014, 17:20

... in natural text can be expressed in many ways, e.g. “Obama was educated at Harvard”, “Obama is a graduate of Harvard Law School”, or, “Obama went to Harvard College”. Relation extraction aims at ... for Relation Extraction Relation extraction aims at learning a relation from a number of positive and negative instances in natural language sentences. As a classifier we...

Ngày tải lên: 20/02/2014, 09:20

... Freebase relation data during training, and comparing newly discovered relation instances against this held-out data, and manually, having humans who look at each posi- tively labeled entity pair ... extracting relational facts from text (for example, learning that a person is em- ployed by a particular organization, or that a ge- ographic entity is located in a particular regi...

Ngày tải lên: 23/03/2014, 16:21

... erroneous 0 1 a: a/0.6 2 an:an/0.4 3 cat:cat/1 4 ear:ear/1 5 ε:ε/1 ε:ε/1 0 a: a/0.95[0.95,0] a: an/0.05[0,0.05] an:an/1 cat:cat/1 ear:ear/1 0 1 a: a/0.57[0.57,0] a: an/0.03[0,0.03] 2 an:an/0.4 3 cat:cat/1 4 ear:ear/1 5 ε:ε/1 ε:ε/1 Figure ... the twelfth national conference on Artificial intelli- gence (vol. 1), AAAI ’94, pages 779–784, Menlo Park, CA, USA. American Association for Artifi...

Ngày tải lên: 23/03/2014, 16:20

... spans in S as con- text, and replace it with a new candidate span taking p  (and another accepted span) as context. Wealways maintain B different states for each span. Back to the previous example, ... the learning phase. Guided learning is not as hard as reinforcement learning. At each local step in learning, we always know the undesirable labeling actions according to the gold...

Ngày tải lên: 20/02/2014, 12:20

... creating training instances. In McCarthy and Lehnert’s method, a positive instance is created for each anaphoric NP paired with each of its antecedents, and a negative instance is created by pairing ... the ACE research program. Our approach. Recall that our approach uses la- beled data to train both the coreference classifiers and the ranking model. To ensure a fair comparison of ou...

Ngày tải lên: 20/02/2014, 15:20

... Merlo and Musillo, 2005; Gildea and Palmer, 2002) have already been proposed. (Blaheta and Charniak, 2000; Blaheta, 2004) described a statistical sys- tem trained on the data of Penn Treebank to au- tomatically ... predicate-argument structure, while adverbials are actually semantically oriented labels (though not true for all cases, see (Merlo and Palmer, 2006)) that carry semantic role...

Ngày tải lên: 08/03/2014, 01:20

... statistical machine translation Nicola Ueffing National Research Council Canada Gatineau, QC, Canada nicola.ueffing@nrc.gc.ca Gholamreza Haffari and Anoop Sarkar Simon Fraser University Burnaby, BC, Canada {ghaffar1,anoop}@cs.sfu.ca Abstract Statistical ... BC, Canada {ghaffar1,anoop}@cs.sfu.ca Abstract Statistical machine translation systems are usually trained on large amounts of bilin- gual...

Ngày tải lên: 08/03/2014, 02:21

... C ´ ordoba and CONICET C ´ ordoba X5000HUA, Argentina francolq@famaf.unc.edu.ar Ariadna Quattoni and Borja Balle and Xavier Carreras Universitat Polit ` ecnica de Catalunya Barcelona E-08034 {aquattoni,bballe,carreras}@lsi.upc.edu Abstract In ... References Raphael Bailly. 2011. Quadratic weighted automata: Spectral algorithm and likelihood maximization. JMLR Workshop and Conference Proceedin...

Ngày tải lên: 08/03/2014, 21:20

... patterns. In contrast, our emphasis is on learning language by proactively interacting with an external environment. Reinforcement Learning for Language Pro- cessing Reinforcement learning has ... ac- tions that emit natural language utterances. The reinforcement learning state space encodes infor- mation about the goals of the user and what they say at each time step. The learni...

Ngày tải lên: 17/03/2014, 01:20