[PDF] Top 20 Large Scale Paraphrasing for Natural Language Understanding

... by natural logic (MacCartney, 2009). Natural logic is used to perform inference over pairs of natural language phrases, like our paraphrase ...over large text corpora to assign one or ... See full document

... Combining Multiple, Large Scale Resources in a Reusable Lexicon for Natural Language Generation C o m b i n i n g M u l t i p l e , L a r g e S c a l e R e s o u r c e s in a R e u s a b l e L e x i c[.] ... See full document

... current language resources acquired from the Web are mainly data based on the word unit and the sentence ...hand, language resources based on the docu- ment unit are not released so ...The language ... See full document

... Semantically Guided Visual Recognition. Another par- allel category of vision and language tasks is known as zero-shot/few-shot, where class imbalance is a primary as- sumption. In Frome et al. (2013), Norouzi et ... See full document

... Schuberth & Eimas (1977) found facilitation and inhibition in a lexical decision task. Targets were placed in sentence-final position. The factor of greatest interest to the present discussion is the ’congruity’ of ... See full document

... Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for cor- pus studies and natural language process- ing tasks. This is because the process ... See full document

... The resulting lexicon contains syntactic, semantic, and lexical knowledge, indexed by senses of words as required by generation, including: A complete list of syntactic subcategorization[r] ... See full document

... It describes three application areas in which the system is being used and discusses some characteristics of CRITIQUE which we believe are applicable to large-scale natural language syst[r] ... See full document

... between natural language and Knowledge Base (KB) triples are an essential prerequisite for training machine learning approaches employed in a variety of Natural Language Processing ...and ... See full document

... Recently, sequence to sequence learning (or seq2seq) has shown promise for natural language tasks, especially machine translation (Cho et al., 2014). These models combine two RNNs: an en- coder, which ... See full document

... There are several benefits of focusing analy- ses on counselors (rather than individual conversa- tions): First, we are interested in general conversa- tion strategies rather than properties of main issues (e.g., ... See full document

... Spoken Language Understanding (SLU) plays an important role in spoken language technology and is typically divided into two sub-tasks: Intent Clas- sification (IC) and Slot Filling ...the ... See full document

... of natural lan- guage processing (NLP) has witnessed the emer- gence of transfer learning methods which have significantly improved the state of the art (Dai and Le, 2015; Peters et ...on large text corpora ... See full document

... The semantics server, based on data compiled by our group at Unisys, supplies information about the semantic structure of concepts associated with English words, particularly verbs.. For[r] ... See full document

... Natural language understanding (NLU) is a core component of intelligent personal digital assistants (IPDAs) such as Amazon Alexa, Google Assis- tant, Apple Siri, and Microsoft Cortana (Sarikaya, ... See full document

... of natural organic matter, which has enhanced our understanding of NOM ...larger scale, and linking different ecosystems remains incomplete due to the lack of available information across a wider ... See full document

... a large-scale lookup operation to ground language via ‘snapshots’ of our physical world accessed through image ...larity, natural language inference, seman- tic relatedness, ... See full document

... on understanding the semantic intent of natural lan- guage ...the natural language query intent understanding problem, and build a hierarchical representation for ... See full document

... There has yet to be a system that is fully capa- ble of understanding English. We define under- standing as the ability to reason by successfully mapping an ontology onto a preexisting ontology built from the ... See full document

... {2 abridged version published as: Technical report 78-4, Department of Computer Science, University of British Columbia, February 1978.. McDONALD, David Daniel 1978a.[r] ... See full document