| Day |
Morning Class
9 - 12.30 AM |
Afternoon class
2 - 6 PM |
| 16 Oct. |
1.1
Knowledge representation : ontologies and related aspects
(
Thierry Poibeau
,
Asanee Kawtrakul
)
|
2 - 4
PM |
4 - 6
PM |
| 1.2
Proof methods and AI-oriented languages
(
Leila Amgoud
) |
2.2 The lexicon and its structure (argument
structure, subcategorization, thematic grids, selectional restrictions)
(Eli Murguia) |
| 17 Oct. |
2.1 Computational morphology
(
Bali Ranaivo,
Asanee Kawtrakul
)
|
2.3 Foundations of syntax and parsing
(syntactic structures, dependency grammars, parsing strategies,
shallow parsing)
(
Eli Murguia
)
,
Statistical parsing
(
Thanaruk Theeramunkong
)
|
| 1.3 Machine Learning (bayesian nets,
inductive logic, neural networks).(First Part) (A)
(
Sudeshna Sarkar
)
|
1.4 Logic of interaction (beliefs,
actions (frame problem, causality, communication acts), cooperativity)
(A) (Leila
Amgoud) |
| 18 Oct. |
9 - 11
AM |
11 -
12:30 AM |
2 - 3:30
PM |
3:30
- 6 PM |
| 2.4 Lexical semantics
(
Patrick Saint-Dizier
)
|
2.5 Semantics of texts (temporal,
rhetorical, plans, temporal and causal chains, treatment of
references, etc.) (Patrick Saint-Dizier) |
2.6 Language generation challenges
(
Claire Gardent
) |
| 19 Oct. |
Student Workshop
|
Lecturer Workshop |
| 20 Oct. |
9 - 12:30
AM |
2 - 3 PM |
3 - 6 PM |
| 3.1 Resources: WordNet, FrameNet,
dedicated ontologies, lexicons, Basic tools
( Monojit Choudhury
) (VDO1) |
3.2 Statistical methods for Information Retrieval,
hybrid approaches (Sudeshna Sarkar)
3.4 Logic Programming for NLP (A)
(Patrick Saint-Dizier) |
| 21 Oct. |
3.3 Word Sense disambiguation, Named
entity recognition, etc. (Sudeshna Sarkar)
2.7 Advanced syntax: Minimalism
(A)
(Eli Murguia)
|
4.3 Automatic summarization
and Knowledge extraction
(
Thierry Poibeau
)
2.7 Advanced syntax: Tree Adjoining Grammars
(A)
(
Claire Gardent
)
|
| 22 Oct. |
4.1 Question-Answering (basic QA,
reasoning for QA, providing responses with explanations, complex
question processing)
(
Farah Benamara
, Asanee Kawtrakul) |
4.2 Machine Translation (Example-based,
corpus-based, based on an interlingua)
(
Tang Enya Kong,
Virach Sornlertlamvanich
) |
