NDLI: Discovering the concept of anaphora from grounded verb models

Content Provider	IEEE Xplore Digital Library
Author	Neema, K. Mukerjee, A.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Uttar Pradesh, India (Neema, K.; Mukerjee, A.)
Abstract	A number of computational models simulate the grounded learning of units of language in the early learner. But can this initial lexical knowledge be used to acquire complex grammatical notions such as anaphora? We build on earlier work, where we simulate a language learner with perceptual attention and learn, in an unsupervised manner, a set of action models along with the participating agents, and then the corresponding linguistic units (verbs). We consider how this knowledge may be used to bootstrap the learning of anaphora. Given an input video with moving shapes, the system considers human narratives that refer to this scene. The acquired perceptual schemas and their arguments are mapped to the appropriate verbs and nouns in the discourse. We first detect the synonyms of the arguments as the repeated labels used in the constructions referring to a known action scene. After ruling out the synonyms, we find that the anaphora remain as units that are referring to more than one grounded object. We show that both third-person singular and plural anaphors and even a common reciprocal anaphor (“each other”) can be discovered. Finally, we show that in situations where the referent is missing altogether (zero anaphora), certain correlations may also be inferred from the regularities in the mapping between perceptual schemas and language.
Starting Page	305
Ending Page	310
File Size	1017482
Page Count	6
File Format	PDF
ISBN	9781424469000
e-ISBN	9781424469024
DOI	10.1109/DEVLRN.2010.5578827
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Conferences Syntactics Grammar Object recognition Pragmatics Construction industry
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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