This document describes software and web services developed by Rubén Izquierdo Beviá for natural language processing tasks. It discusses common input/output formats like KAF and NAF that are used. It provides an overview of Rubén's background and experience. It also lists and describes various NLP modules and tools developed by Rubén and his research groups for tasks like tokenization, part-of-speech tagging, parsing, word sense disambiguation, named entity recognition, sentiment analysis, and event coreference that are publicly available on GitHub.

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