some 2019-20 
projects (presentations) for reference
	- PEDAGOGICAL :- Introduction to CTC-based 
	Automatic Speech Recognition, Peter Sullivan (some material  [report][lecture][assignment])
 
 
	- Dujian Ding and Raymond Li, Visual Analysis of 
	Abstractive Document Summarization [pdf]
  
	- Tanzila Rahman, An Improve Attention based 
	Architecture for Visual Question Answering [pdf]
  
	- Vaastav Anand and Joseph Wonsil - Tracey - 
	Distributed Trace Comparison and Aggregation using NLP techniques [pdf]
  
	- Ganesh Jawahar, Detecting human written text 
	from machine generated text by modeling discourse coherence [pdf]
  
	- John-Jose Nunez,  Comparing the Intrinsic 
	Performance of Clinical Concept Embeddings by Their Field of Medicine. This 
	project led to this 
	paper in the following workshop  LOUHI@EMNLP 2019: 11-17 
 
	- Neural RST-based Evaluation of Discourse Coherence 
	(Guz et al) - This project is under submission as a short paper to ACL.
 
some 2016 
projects (presentations) for reference
 
some 2014 
projects (presentations) for reference
some 2012 
projects (presentations) for reference
some 2010 
projects for reference
some 2009 
projects for reference
some
2008 
projects for reference
some 2007 
projects for reference
More Ideas 
for possible Topics for Research  (look also at these Synthesis Lectures in Natural Language Processing
	webpage)
Multidocument summarization of human conversations e.g email threads, blogs  (there is an ongoing 
project here at UBC )
Evaluation Techniques for multidocument summarization
 
Multidocument summarization of evaluative text. For instance, summarizing a 
large set of customer reviews 
Information 
extraction from evaluative text. For instance, again customer reviews 
(you could focus on extracting the rhetorical structure)
 
Topic 
modeling (identifying what topics are covered in a given document)
Machine Learning for Natural language Generation
Text reconstruction: 
reconstructing a text from unordered (or partially ordered) pieces of it 
 
If you are fond of 
stats and machine learning. Pick a topic we have not covered in class from 
(for instance from Foundations of Statistical Natural Language Processing by Christopher D. 
Manning, Hinrich Schutze.  reading room) read about it, search for 
recent paper(s) about an aspect of the problem that intrigues you and start 
from there...
Project on languages 
other than English (caveat: you may not find corpora / software)
 
Evaluating/Extending 
tools to teach NLP (ACL workshop in 2002 and one or two follow ups)
 
NLP in teaching 
Natural Language 
Dependency 
Parsing
 
Machine 
Reading (large scale web knowledge extraction)
.....
Ideas 
for possible Topics for Pedagogical Project
	-  Neural Methods
 
	- backward-forward / inside outside 
	algorithms
 
	- machine translation
 
	- LDA topic modeling and variations
 
 carenini at cs.ubc.ca