Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences

By Antoine Bordes, Nicolas Usunier, Jason Aaron Edward Weston. 2010

26 citations recorded by the source corpus.

Subfields: Natural Language Processing, Representation & Self-Supervised Learning

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Citations in the corpus

Parsing Algebraic Word Problems into Equations (2015, background): “…goal is the interpretation of a sentence in the context of a world representation (Branavan et al., 2009; Liang et al., 2009; Chen et al., 2010; Bordes et al., 2010; Feng and Lapata, 2010; Hajishirzi et al., 2011; Matuszek et al., 2012; Hajishirzi et al., 2012; Artzi and Zettlemoyer, 2013;…”
Learning to Solve Arithmetic Word Problems with Verb Categorization (2014, background): “…and Barzi-lay, 2007; Branavan et al., 2009; Branavan et al., 2012; Vogel and Jurafsky, 2010; Chen et al., 2010; Hajishirzi et al., 2011; Chambers and Jurafsky, 2009; Liang et al., 2009; Bordes et al., 2010) where the goal is to align a text into underlying entities and events of an environment.”
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction (2013, background): “Previous work Learning under weak supervision is common in Natural language processing, especially for tasks where the annotations costs are important such as semantic parsing (Kate and Mooney, 2007; Liang et al., 2009; Bordes et al., 2010; Matuszek et al., 2012).”
Fast Online Lexicon Learning for Grounded Language Acquisition (2012, background): “has been work on learning from ambiguous supervision where a set of potential sentence meanings are given, only one (or a small subset) of which are correct (Chen and Mooney, 2008; Liang et al., 2009; Bordes et al., 2010; Chen andMooney, 2011).”
Multi-Resolution Language Grounding with Weak Supervision (2014, background): “Early work in understanding soccer commentaries focused on RoboCup soccer (Chen and Mooney, 2008; Chen et al., 2010; Bordes et al., 2010; Hajishirzi et al., 2011) where simple language describes each event, and events are in a one-to-one correspondence with utterances.”
Semantic Understanding of Professional Soccer Commentaries (2012, methodology): “The closest work to ours are [Liang et al., 2009; Bordes et al., 2010] that introduce an interesting generative approach and a ranking system to map texts to meaning representations, respectively.”
Solving Geometry Problems: Combining Text and Diagram Interpretation (2015, background): “…(Branavan et al., 2012; Vogel and Jurafsky, 2010; Chen et al., 2010; Hajishirzi et al., 2011; Liang et al., 2009; Koncel-Kedziorski et al., 2014; Bordes et al., 2010; Kim and Mooney, 2013; Angeli and Manning, 2014; Hixon et al., 2015; Koncel-Kedziorski et al., 2014; Artzi and Zettlemoyer, 2013)…”