1
|
Jan
13 (Th) |
Intro
and Course Overview |
J&M
Chp. 1
|
- ACL
- NLP
demos
-Ambiguity
|
2
|
Jan
18 (Tu) |
English
Morphology Finite State Transducers (1)
|
J&M
Chp. 2&3
|
Applications
of FSTs in NLP Lauri Karttunen, CIAA, 2000. |
3
|
Jan 20 (Th) |
English
Morphology Finite State Transducers
(2) |
J&M
Chp. 2&3 |
|
4
|
Jan
25 (Tu) |
Spelling:
Bayesian
method and Minimum Edit Distance - Intro to n-grams
|
J&M
Chp. 5 (141-156) |
- min-edit-dist demo
-
A spelling correction program based on a noisy channel model
Kerninghan et al. COLING ,1990. |
5
|
Jan 27 (Th) |
Probabilistic
Models: n-grams
Model
Evaluation and Hidden
Markov Models(1)
|
J&M
Chp. 6
M&S Chp. 9 |
An
empirical study of smoothing techniques for NLP S.F. Chen, J.
Goodman - TR CS Harvard Univ - 1998
|
6
|
Feb 1
(Tu) |
Hidden
Markov
Models(2) and Part-of-speech Tagging |
M&S
Chp. 9
J&M Chp. 8 |
Assignment2
|
7
|
Feb 3
(Th) |
English
Syntax and Context-free Grammars
|
J&M
Chp. 9
|
|
8
|
Feb 8
(Tu) |
Parsing
Algorithms |
J&M
Chp. 10 |
NLTK (demos)
|
9
|
Feb 10 (Th) |
Probabilistic Parsing Algorithms |
J&M
Chp. 12 |
Penn Treebank
Popular
Stat Parser |
|
Feb
14-18 spring break week
|
|
|
|
| 10 |
Feb 22
(Tu) |
Representing Meaning
|
J&M
Chp. 14 |
ProbBank (adding semantic
annotations to the Penn Treebank)
|
11
|
Feb 24 (Th) |
Semantic
Analysis
|
J&M
Chp. 15 |
Assignment3
|
12
|
Mar 1
(Tu) |
Lexical
Semantics |
J&M
Chp. 16 |
Wordnet
FrameNet
|
13
|
Mar 3
(Th) |
Word
Sense Disambiguation (WSD) and
Information
retrieval (IR)
|
J&M
Chp. 17 |
SENSEVAL(Evaluation for
WSD)
TREC (Text REtrieval Conference)
|
14
|
Mar 8
(Tu) |
Discourse&Dialog
|
J&M
Chp. 18-19 |
DAMSL
RST
annotation tool
|
15
|
Mar 10 (Th) |
Natural
Language Generation (NLG) |
J&M
Chp. 20 |
SIGGEN
NLG systems
book
|
16
|
Mar 15 (Tu) |
Project
Proposal Presentations |
|
|
17
|
Mar 17 (Th) |
NLG
evaluation
- E
Reiter, R Robertson, and LM Osman (2003).
Lessons from a Failure: Generating Tailored Smoking Cessation Letters. Artificial Intelligence 144:41-58.
(PDF)
...for more info on STOP
system
- Walker, M., Whittaker, S., Stent, A.,
Maloor, P., Moore, J., Johnston, M.,
Vasireddy, V. (2004).
Generation
and Evaluation of User Tailored Responses in Dialogue. Cognitive
Science, 28, (PDF)
(Jenninfer, Terry)
|
18
|
Mar 22 (Tu) |
Semantic
Term Similarity
- Resnik, P. (1999)
"Semantic Similarity in a Taxonomy: An Information-Based Measure and
its Application to Problems of Ambiguity in Natural Language", Journal
of Artificial Intelligence Research (JAIR)
Volume
11, pages 95-130.
resnik99a.pdf
- Dagan, Ido. Contextual Word Similarity, in Rob Dale, Hermann
Moisl and Harold Somers (Eds.), Handbook of Natural Language
Processing, Marcel Dekker Inc, 2000,
Chapter 19, pp. 459-476.
(Lyndon, Flavio) |
19
|
Mar
24 (Th) |
Extracting
Subjective Info
- Theresa
Wilson, Janyce Wiebe, and Rebecca Hwa (2004).
Just how mad are you? Finding strong and weak opinion clauses. Proceedings
of the Nineteenth National Conference on
Artificial Intelligence (AAAI).
(pdf)
- Hong Yu and
Vasileios Hatzivassiloglou, Towards Answering Opinion
Questions: Separating Facts from Opinions and Identifying the Polarity
of Opinion Sentences, Empirical
Methods in Natural Language Processing
(EMNLP 2003) (pdf)
(Maryam, Sara)
|
20
|
Mar 29 (Tu) |
Summarization
- Regina Barzilay & Michael Elhadad ``Using
Lexical Chains for
Text Summarization'',
in Advances in Automatic Text Summarization,
Chapter 10, I. Mani and M.T. Maybury eds,
MIT Press, 1999
(revised and expanded version of the paper in Intelligent Scalable
Text Summarization Workshop
(ISTS'97), ACL, Madrid, 1997) (copy in reading room)
-
(Biographies)
Zhou, Liang; Ticrea, Miruna; Hovy, Eduard,
Multi-document Biography Summarization, Proceedings
of EMNLP, pp. 434-441, 2004 (pdf)
(Adam) |
21
|
Mar 31 (Th) |
Acquisiton
of knowledge sources for NLG
( Jennifer, Terry)
|
22
|
Apr 5
(Tu) |
Acquisiton
of knowledge sources for NLG
(Maryam, Sara)
|
23
|
Apr 7
(Th) |
Project
Update Presentations
|
|
|
|
Apr
....
|
Project
Final Presentations |
|
|