CLTL: Description of web services and sofware. Nijmegen 2013

1. CLTL
Software and Web
Services
Rubén Izquierdo Beviá

2. Rubén Izquierdo Beviá
About me
 5-year degree on Computer Science (University of
Alicante, Alicante, Spain)
 National NLP projects and 1 European project (QALLME)
(University of Alicante, Alicante, Spain)
 Thesis about NLP & Word Sense Disambiguation (University
of Alicante, Alicante, Spain. Sept 2010)
 Postdoc position at DutchSemCor Project (University of
Tilburg, Tilburg. Sept 2011-Sept2012)
 Postdoc position at OpeNER Project (Vrije
University, Amsterdam. Sept 2012-)

3. CLTL software
 In general common input/output format
 KAF
 NAF, as an extension of KAF
 Single components performing single tasks
 Integration of existing modules
 Adaptation of input/output formats
 Development of new ones

4. KAF
Kyoto Annotation Format
 Stand-off, layered, XML-based representation format




Different types of information are stored in different layers
Layers are linked by means of references
Suitable for creating pipelines based on this format
Layers:
 Text  tokens
 Term  lemmas, part-of-speech, term sentiment, word
senses
 Entities, chunks, opinions…

5. KAF
Kyoto Annotation Format

6. NAF
NewsReader Annotation Format
 Extension of KAF
 Allow the cross-document processing
 Event coreference
 ID’s are converted into valid URI’s
 Store the same type of information provided by different
tools
 Result of two different pos-taggers

7. How the software is provided I
 All modules are publicly available on GitHub
 CLTL GitHub
 http://github.com/cltl
 NewsReader GitHub
 http://github.com/newsreader
 OpeNER GitHub
 http://github.com/opener-project/

8. How the software is provided
II
 Some are available as Web Services
 Exposed as REST web services
 Accept and input stream (KAF/NAF)
 Generate an output stream (KAF/NAF)
 Easy to call from command line with CURL
 Easy to create module pipelines in the same way you create a
linux commands pipeline
 http://wordpress.let.vupr.nl/web-services/

9. How the software is provided
II

10. How the software is provided
II

11. Our software I
 General modules (integrated)
 Tokenizers: whitespace based, open-nlp trained...
 Sentence splitters: based on rules, open-nlp
 Pos-taggers: treetagger, open-nlp pos taggers
 Chunker: trained on Alpino data with open-nlp
 Parsers: Alpino (nl), Stanford (en)

12. Our software II
 General modules (developed by us)
 Wordnet Tools
 Functions to use a WordNet in LMF format
 Word Sense Disambiguation systems
 UKB: unsupersived
 SVM: supervised (for nl derived from DutchSemcor)
 Multiword tagger
 multiword sequences of terms according the WordNet
 OntoTagger
 Ontotagger inserts (semantic) labels into KAF representation on the basis
of lemma or wordnet synset representations of text

13. Our software III
 General modules (developed by us)
 Named Entity Recognizer
 Detects dates and locations using specific resources +
GeoNames
 KyBot
 Extract tuples and relations from a set of profiles formulated
using semantic and structural properties

14. Our software IV
 OpeNER related (developed by us)
 Hotel property tagger
 Detect aspects related with
cleanliness, staff, breakfast, rooms…
 Term polarity tagger
 Positive/negative terms, intensifiers, negators …
 Opinion miner
 Detect opinions: target + holder + expression
 2 rule based version // 1 machine learning version

15. Our software V
 NewsReader related (developed by us)
 Discourse Module
 Splits incoming texts into headers and paragraphs
 Factuality Classifier
 Classifies whether a statement is factual/probable/possible or
not
 Event Coreference
 Compares descriptions of events within and across
documents to decide if they refer to the same events.

16. CLTL
Software and Web
Services
Rubén Izquierdo Beviá