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CS674 Project Presentation Schedule
CS674 Project Presentation Schedule
April 24th
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Kendra Willson
Thematic roles and NLU
This paper muses on issues surrounding the adaptation of various linguistic
approaches to argument structure for NLP purposes, with the
ultimate but oblique goal of shedding light on the age-old question: Are
linguists useless?
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Catherine Starkey
A German/English Translator for Simple Sentences
This project will take as input a series of sentences in English or
German and then parse them according to a corresponding set of grammar
rules. Then, using a different set of rules (for the other language),
it pieces together the new sentence with words entered in a lexicon.
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Lin Hsian Wang
Prepositional Phrase Attachement by Rule-Based Approach
To solve the prepositional phrase attachment ambiguation using
set of rules generated by Transformation-Based Error-Driven Learning
algorithm.
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Mao Yonghong
Part of Speech Tagging Algorithms
I will compare some part of speech tagging algorithms and try to give some
suggestions.
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Eric Scharff
Neural Networks for Part of Speech Disambiguation
April 29th
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Alfred Hong
Translation of Regular Query Sentences into SQL Queries
The idea of this stems from the numerous Web forms today
that provide search capability. Often times, one would
like to have a query interface to a database (relational),
but the search definition parameters are usually restrictive
and "inhuman." Adding a natural language query capability
to the search function while providing a back-end
conversion to an equivalent SQL query to a database
would makes things more human and natural and hopefully
more powerful.
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Ed Wayt
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Jonathan Decristofaro
Making the Chart Parser Avoid Useless Work
The bottom-up chart parser can be very inefficient when
there are many ways to parse a phrase. This work eliminates the
multiple parses generated when there is an ambiguous phrase (like
a compound noun of five words).
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David Walker
Statistical Methods for Part-of-Speech Tagging
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Wee-Liang Heng
Probabilistic Part of Speech Tagging
This project explores various statistical models
(e.g., smoothed bigram language model) for part-of-speech
tagging, and implements the associated algorithms. The
models will be evaluated on their accuracy on either the
PennTree Bank or Brown corpus.
-
Daniel Brown
Text Compression Using NLP
Most compression schemes take advantage of the fact that
certain symbols in the input file are much more likely (frequent) than
others. This project will attempt to take advantage of the fact that
certain sequences of words are much more likely than others. In
particular, I will assume that grammatical sentences are much more likely
than ungrammatical sentences. I will encode sentences in such a way that
grammatical sentences take up less space.
May 1st
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Heji Kim
Information Extraction from Poetic Forms
The purpose of this project will be to automatically gather useful
information from poems via syntactic/semantic parsing; this information
will be the search keys to index a corpus of poetry in a database.
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Vera Kettnaker
Deriving the Meaning of Novel Words
The idea of this project is to guess the meaning of
novel words (first names, abbreviations of new terrorist organizations ect.)
on the basis of expectations we gain from the surrounding context.
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Grzegorz Czajkowski
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Pavel Naumov
Presentation of Natural Language Sentence in Nuprl Term Editor
Adopt Nuprl term editor for natural language representation.
Write several ML programs that will extract information
from natural sentences presented in term editor. (say, answer
on simplest questions base on given group of sentences).
-
Joel Rosenzweig
A Weather Text Processing and Understanding System
I am writing a grammar suitable for parsing weather text that
I can grab off of the Internet/Weather Channel Web site. This system will
look for "thematic" roles associated with the text to provide a summary of
the forecast. Time permitting, I will make a program that will interpret this
summary data, and generate a weather map that depicts the forecast.
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Christine R. Paradis
Translating an English Sentence to an SQL Statement
I will be translating an English sentence to an SQL query. My initial
approach
to this problem is to use the thematic role information for a given sentence
and map this information to the corresponding SQL constructs. For evaluation
of the system, I will generate SQL statements for a set of test sentences and
compare the results with my desired/correct SQL statements.