Processing of natural languages: where is work being done?

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SUMMARY

The discussion centers on the exploration of natural language processing (NLP) and its intersection with machine learning and pattern recognition. The participant, a student from the Indian Institute of Technology, Kanpur, seeks guidance on identifying professors and departments specializing in the quantification of ambiguity in natural language. The goal is to develop a model that enhances machine processing of natural language texts, particularly for applications like semantic search. The mention of Idilia indicates a practical interest in companies actively engaged in this research area.

PREREQUISITES
  • Understanding of natural language processing (NLP) principles
  • Familiarity with machine learning algorithms and techniques
  • Knowledge of pattern recognition methodologies
  • Basic concepts of semantics and pragmatics in linguistics
NEXT STEPS
  • Research prominent NLP research groups in universities such as Stanford and MIT
  • Explore machine learning frameworks like TensorFlow for NLP applications
  • Investigate semantic search techniques and their implementation
  • Look into interdisciplinary approaches combining linguistics and computer science
USEFUL FOR

Students and researchers in artificial intelligence, particularly those focused on natural language processing, machine learning practitioners, and anyone interested in the theoretical and practical aspects of language ambiguity in computational contexts.

loom91
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Hi,

I'm a 2nd semester student in the Indian Institute of Technology, Kanpur. My fields of interest are AI, particularly machine learning, pattern recognition etc. I have done a project on pattern recognition in the Indian Statistical Institute, Kolkata.

I've some ideas about constructing a model of how natural languages (particularly in written form) represent and convey meaning, without making artificial distinctions between semantics and pragmatics and without discarding the level of ambiguity that is inherent (even essential) to our communication and even our cognition. I feel that tools from different fields of computer science and mathematics can be combined to quantify these ambiguous structures. Such a model can be useful to facilitate machine processing of natural language texts, like in semantic search. I want to work on a project regarding this during my 3 months summer vacation.

Can you tell me about professors who have worked on a related topic/departments which are known for working in related fields? I'm looking at the faculty lists of renowned Computer Science and Mathematics departments, but so far I haven't found anyone whose research interests seem to be in this direction, so a little nod in the right direction will be greatly appreciated. Thank you.

Molu
 
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Any help?
 
I know Idilia does this, just had an interview with them.
 

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