CICLing 2009
Program (without first days)
Buses leaving in the morning
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
8 am |
7 am |
8 am |
8am |
7 am |
Overall program
Tuesday |
Talks |
Wednesday |
Tour: Monarch butterfly wintering site, at 7 am |
Thursday |
Talks |
Friday |
Talks; closing ceremony; possibly banquet |
Saturday |
Tour: Xochicalco pyramids, Cacahuamilpa cave, town of Taxco, at 7 am |
Program for the days of talks
Tuesday 3 |
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Thursday 5 |
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Friday 6 |
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8:00 Bus from hotel |
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8:00 Bus from hotel |
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8:00 Bus from hotel |
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Keynote: |
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Keynote: |
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Keynote: |
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Technical session |
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Technical session |
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Technical session |
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Lunch |
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Lunch |
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Lunch |
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Technical session |
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Technical session |
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Technical session |
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Special event: |
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Special event: |
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Special event: |
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Bus to hotel |
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Bus to hotel |
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Closing ceremony |
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Bus to banquet* - |
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Banquet* |
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* In case if the banquet is organized |
Bus to hotel* |
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page |
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Tuesday |
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8:00 |
Bus to the conference venue (don’t be late!) |
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Trends and Opportunities I |
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09:00‑09:55 |
Keynote
talk: |
6 |
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10:00‑10:10 |
Break |
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Corpus Analysis and Lexical Resources I |
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10:15‑10:30 |
Evaluation of the Syntactic Annotation in EPEC, the Reference Corpus for the Processing of Basque |
72 |
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Information Retrieval and Text Comparison I |
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10:35‑10:50 |
Empirical Paraphrasing of Modern Greek Text in Two Phases: An Application to Steganography |
535 |
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Applications to the Humanities |
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10:55‑11:10 |
Linguistic Ethnography: Identifying Dominant Word Classes in Text |
594 |
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11:15‑11:30 |
Break |
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Extraction of Lexical Knowledge |
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11:35‑11:50 |
Semantic Mapping for Related Term Identification |
111 |
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11:55‑12:10 |
An Improved Automatic Term Recognition Method for Spanish |
125 |
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12:15‑12:30 |
Bootstrapping a Verb Lexicon for Biomedical Information Extraction |
137 |
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12:35‑12:50 |
TermeX: A Tool for Collocation Extraction |
149 |
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12:55‑13:50 |
Lunch |
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Text Summarization II (cont.) |
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13:55‑14:10 |
The Decomposition of Human-Written Book Summaries |
582 |
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Morphology and Parsing I |
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14:15‑14:30 |
Guessers for Finite-State Transducer Lexicons |
158 |
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14:35‑14:50 |
Formal Grammar for Hispanic Named Entities Analysis |
183 |
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14:55‑15:15 |
Break |
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14:20‑15:35 |
Automatic Extraction of Clause Relationships from a Treebank |
195 |
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15:40‑15:55 |
A General Method for Transforming Standard Parsers into Error-Repair Parsers |
207 |
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Semantics |
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16:00‑16:15 |
Topic-Focus Articulation from the Semantic Point of View |
220 |
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16:20‑16:35 |
AORTE for Recognizing Textual Entailment |
245 |
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16:40‑16:50 |
Break |
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16:55‑17:50 |
Special event: Jill Burstein |
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18:00 |
Bus to the hotel (don’t be late!) |
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Wednesday: Monarch butterfly site |
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7:00 |
Bus to the tour (don’t be late!); back to hotel about midnight |
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Thursday |
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8:00 |
Bus to the conference venue (don’t be late!) |
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Corpus Analysis and Lexical Resources II (cont.) |
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9:00‑9:55 |
Keynote
talk: |
53 |
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10:00‑10:10 |
Break |
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Word Sense Disambiguation |
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10:15‑10:30 |
Semi-supervised Word Sense Disambiguation Using the Web as Corpus |
256 |
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10:35‑10:50 |
Semi-supervised Clustering for Word Instances and its Effect on Word Sense Disambiguation |
266 |
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10:55‑11:20 |
Invited
Paper: |
280 |
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11:25‑11:50 |
Break |
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11:55‑12:10 |
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping |
294 |
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Machine Translation and Multilinguism |
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12:15‑12:40 |
Best
Student Paper Award: |
306 |
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12:45‑13:10 |
Best Paper
Award, 1st place: |
332 |
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13:15‑14:10 |
Lunch |
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14:15‑14:30 |
Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation. |
318 |
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14:35‑14:50 |
A Parallel Corpus Labeled Using Open and Restricted Domain Ontologies |
346 |
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14:55‑15:10 |
Language Identification on the Web: Extending the Dictionary Method |
357 |
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15:15‑15:30 |
Break |
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Information Extraction and Text Mining I |
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15:35‑15:50 |
Business Specific Online Information Extraction from German Websites |
369 |
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15:55‑16:10 |
Low-Cost Supervision for Multiple-Source Attribute Extraction |
382 |
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16:15‑16:30 |
An Integrated Architecture for Processing Business Documents in Turkish |
394 |
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16:35‑16:50 |
Using a Bigram Event Model to Predict Causal Potential |
430 |
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16:55‑17:10 |
Semantic-Based Temporal Text-Rule Mining |
442 |
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17:15‑17:20 |
Break |
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Trends and Opportunities II (cont.) |
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17:25‑18:20 |
Special
event: Ken Church |
1 |
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18:30 |
Bus to the hotel (don’t be late!) |
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Friday |
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8:00 |
Bus to the conference venue (don’t be late!) |
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09:00‑09:55 |
Keynote talk |
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10:00‑10:10 |
Break |
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Information Extraction and Text Mining II (cont.) |
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10:15‑10:40 |
Best Paper
Award, 2nd place: |
406 |
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10:45‑11:10 |
Best Paper
Award, 3rd place: |
418 |
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11:15‑11:30 |
Generating Executable Scenarios from Natural Language |
456 |
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11:35‑11:45 |
Break |
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11:50‑12:05 |
Determining the Polarity and Source of Opinions Expressed in Political Debates. |
468 |
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Information Retrieval and Text Comparison II (cont.) |
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12:10‑12:25 |
Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text |
481 |
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12:30‑12:45 |
NLP for Shallow Question Answering of Legal Documents Using Graphs |
498 |
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12:50‑13:45 |
Break |
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13:50‑14:05 |
Semantic Clustering for a Functional Text Classi.cation Task |
509 |
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14:10‑14:25 |
Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance |
523 |
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14:30‑14:45 |
BorderFlow: A Local Graph Clustering Algorithm for Natural Language Processing |
547 |
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14:50‑15:05 |
Generalized Mongue-Elkan Method for Approximate Text String Comparison |
559 |
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15:10‑15:25 |
Break |
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Text Summarization II (cont.) |
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15:30‑15:45 |
Estimating Risk of Picking a Sentence for Document Summarization |
571 |
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Morphology and Parsing II (cont.) |
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15:50‑16:15 |
Invited
Paper: |
170 |
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Corpus Analysis and Lexical Resources III (cont.) |
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16:20‑16:35 |
Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods. |
86 |
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16:40‑16:55 |
Unsupervised Classification of Verb Noun Multi-Word Expression Tokens |
98 |
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17:00‑17:10 |
Break |
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17:15‑18:10 |
Special event: Dekang Lin |
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18:20 |
Bus to the hotel (don’t be late!) |
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Saturday: Xochicalco & Cave |
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7:00 |
Bus to the tour (don’t be late!); back to hotel about midnight |
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