Apache OpenNLP & Dialog Systems


OpenNLP {related:}

See also:

OpenCCG (OpenNLP CCG Library) | OpenNLP 2011


Designing an interactive open-domain question answering system S Quarteroni, S Manandhar – Natural Language Engineering, 2009 – Cambridge Univ Press … connected words in one sentence, which can be obtained using a shallow parser (in our case, the OpenNLP chunker). … Hence, the design of task-oriented dialogue systems cannot happen without an accurate analysis of the conversational phenomena observed in human … Cited by 44 Related articles All 8 versions Cite Save

A chatbotbased interactive question answering system S Quarteroni, S Manandhar – Decalog, 2007 – academia.edu … a plan- ning component such as in closed-domain dia- logue systems and to a lesser extent in our open- domain dialogue system as we … 4.1. 1 Handling double questions For the detection of double questions, the sys- tem uses the OpenNLP chunker2 to look for the presence of … Cited by 8 Related articles All 12 versions Cite Save More

Open Resources for Language Technology. L Degerstedt, A Jönsson – LREC, 2004 – Citeseer … 4In particular, one can note that there has been suggestions within OpenNLP to learn from the both positive and negative ex- Page 4. … In terms of research results, our method for dialogue system devel- opment takes a step towards incorporating Open Source ideas, by further … Cited by 3 Related articles All 12 versions Cite Save More

Building adaptive dialogue systems via bayes-adaptive POMDPs S Png, J Pineau, B Chaib-Draa – Selected Topics in Signal …, 2012 – ieeexplore.ieee.org … XX, MONTH YEAR 1 Building Adaptive Dialogue Systems via Bayes-Adaptive POMDPs Shaowei Png, Joelle Pineau, Brahim Chaib-draa … However past research on POMDP-based dialogue systems usually assumed the parameters of the decision process were known a priori. … Cited by 2 Related articles All 7 versions Cite Save

Modeling L Mazuel, N Sabouret – Proceedings of the 2007 IEEE/WIC/ACM …, 2007 – dl.acm.org … We also exploit the WordNet lemmatizer provided by OpenNLP. … Our system relies on a bottom-up approach. Such ap- proaches are very popular within dialogue systems [7, 2]. They rely on a competences list defined to find out the best possible interpretation of the command. … Cited by 1 Related articles All 8 versions Cite Save

An Open Source Question Answering System Trained on Wikipedia Dumps Adapted to a Spoken Dialogue System Y Heikal – it-tjr7.dhbw-stuttgart.de … Trained on Wikipedia Dumps Adapted to a Spoken Dialogue System Bachelor Thesis … Introduction 1.1 QA and Spoken Dialogue Systems Question Answering is a discipline in computer science which depends on document re- trieval and natural language processing. … Cite Save More

Generic natural language command interpretation in ontology-based dialogue systems L Mazuel, N Sabouret – Proceedings of the 2006 IEEE/WIC/ACM …, 2006 – dl.acm.org … the chosen approaches in ECA mostly rely on ad-hoc pattern matching without semantic analysis [1]. The dialogue system community, on … an XML-based English NL generator that transforms any VDL node into an English sentence, based on [4]. 3http://opennlp.sourceforge.net … Related articles All 8 versions Cite Save

Perceptions of alignment and personality in generated dialogue AJ Gill, C Brockmann, J Oberlander – Proceedings of the Seventh …, 2012 – dl.acm.org … In this paper, we present and evaluate novel automated natural language generation techniques, via the Critical Agent Dialogue system version 2 (CRAG 2), which enable us to generate … Within CRAG 2, linguistic personal- ity and alignment are modelled using the OPENNLP … Cited by 1 Related articles All 8 versions Cite Save

Multimodality and Dialogue Act Classification in the RoboHelper Project L Chen, B Di Eugenio – sigdial.org … 3http://maxent.sourceforge.net 4http://opennlp.apache.org/ … However, dif- ferent from other sequence labeling problems such as part-of-speech tagging, a dialogue system can- not wait until the whole dialogue ends to classify the current DA. … Related articles All 7 versions Cite Save More

Interpreting situated dialogue utterances: an update model that uses speech, gaze, and gesture information C Kennington, S Kousidis… – Proceedings of SIGdial …, 2013 – pub.uni-bielefeld.de … context. The model is trained on conversational data and can be used as an understanding module in an incremen- tal, situated dialogue system. Our … 3 3http://opennlp.apache.org/ 5.1 A Non-Situated Baseline using ATIS We … Cited by 5 Related articles All 8 versions Cite Save More

Investigating Critical Speech Recognition Errors in Spoken Short Messages A Pappu, T Misu, R Gupta – Proceedings of IWSDS, 2014 – uni-ulm.de … Speech and Signal Processing (ICASSP), Vancouver (Canada) (2013) 3. Bohus, D., Rudnicky, A.: Integrating multiple knowledge sources for utterance-level confi- dence annotation in the cmu communicator spoken dialog system. Tech. … OpenNLP: http://opennlp.apache.org/ 13. … Cited by 1 Cite Save More

IQABOT: A Chatbot-Based Interactive Question-Answering System J Smith – 2010 – smithware.co.uk … A list of open-source natural language toolkits was compiled. Of this list 2 languages showed dominance and 2 platforms stood out; The Java language with OpenNLP and Python with The Natural Language Toolkit. They are reviewed below. 6.1.1 Java and OpenNLP … Related articles Cite Save More

The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues V Petukhova, M Gropp, D Klakow, A Schmidt… – Proceedings of the 9th …, 2014 – lrec-conf.org … Human-machine data collection set up As mentioned before, based on these dialogues the first version of the dialogue system has been … tokenized csv Stanford Core NLP lemmatized csv POS-tagged csv Chunking csv OpenNLP NE tagged csv Stanford NER csv Illinois NER … Cited by 1 Cite Save More

Automatic dialogue act recognition with syntactic features P Král, C Cerisara – Language Resources and Evaluation, 2014 – Springer … 2. This choice of dialogue acts has been done because our DA recognition module is designed to be used with a rule-based dialogue system that only … Our CRF toolkit is based on the Stanford OpenNLP library, 4 which has been modified in order to include syntactic features. … Cite Save

How to enhance genericity in natural language command interpretation using introspection and ontologies? L Mazuel, N SABOURET – perso.limsi.fr … However, the chosen approaches in ECA mostly rely on ad-hoc pattern matching without semantic analysis [1]. The dialogue system community, on the other hand … In our project (see Figure 1), the lexical module is based on the default OpenNLP tokenizer, tagger and chunker. … Related articles All 4 versions Cite Save More

Automatic Dialogue Act Recognition with Syntactic P Král, C Cerisara – textmining.zcu.cz … 2. This choice of dialogue acts has been done because our DA recognition module is designed to be used with a rule-based dialogue system that only … Our CRF toolkit is based on the Stanford OpenNLP library 2, which has been modified in order to include syntactic features. … Cite Save More

Generic command interpretation algorithms for conversational agents L Mazuel, N Sabouret – Web Intelligence and Agent Systems, 2008 – IOS Press … However, their ap- proaches rely mainly on ad-hoc pattern matching with- out semantic analysis [1]. The dialogue system com- munity, on the other hand, proposes to use ontolo- gies to … The WordNet lemmatizer provided by OpenNLP is also used and allows the system to de- … Cited by 18 Related articles All 13 versions Cite Save

Dynamic QA Systems Using Knowledgebase S Hu – ru.nl … systems. 1.3. Interactive Dialogue System Another famous question-answering system is human-machine dialogue system. In 1950, AlanTuring put forward an idea to treat Q&A as the test toward machine intelligence. He assumed … Related articles Cite Save More

Understanding questions and finding answers: semantic relation annotation to compute the Expected Answer Type V Petukhova – Proceedings 10th Joint ISO-ACL SIGSEM Workshop on …, 2014 – sigsem.uvt.nl … The system has all components that any traditional dialogue system has: Automatic Speech Recog- nition (ASR) and Speech Generation (eg TTS … al., 2005), Illinois NER (Rati- nov and Roth, 2009), and Saarland NER (Chrupala and Klakow, 2010); chunking using OpenNLP 7 to … Cite Save More

A Data Mining Approach to Construct Production Rules in an Educational Game F Keshtkar, B Samei, B Morgan, AC Graesser – ceur-ws.org … After preprocessing the corpus, we split each utterance into tokens using the OpenNLP tokenizer, a Natural Language Processing Java Library. … Rickel, J., Lesh, N., Rich, C., Sidner, C., Gertner, A.: Building a bridge between intelligent tutoring and collaborative dialogue systems. … Related articles Cite Save More

TechWriter: an evolving system for writing assistance for advanced learners of English D Napolitano, A Stent – Calico Journal, 2009 – journals.sfu.ca … Spell checking is done using Jazzy (2005). Sentence segmentation, part-of-speech tagging, named entity recognition, and chunking and treebank-style parsing are done using OpenNLP (2006). … First, the texts in the corpus are part-of-speech tagged using OpenNLP (2006). … Cited by 11 Related articles All 12 versions Cite Save

Personality and alignment processes in dialogue: towards a lexically-based unified model C Brockmann – 2009 – era.lib.ed.ac.uk … and annotating the CrAg Corpus and for implementing the version of the CrAg sys- tem that uses the OPENNLP CCG Library (OPENCCG); and to Michael White for … CrAg Critical Agent Dialogue project CRAG 1 Critical Agent Dialogue system version 1 … Cited by 3 Related articles All 5 versions Cite Save

DISCUSS: Toward a Domain Independent Representation of Dialogue L Becker – 2013 – gradworks.umi.com … Advances in reinforcement learning have been applied toward dialogue systems to learn optimal behaviors for a given task. However, these learned dialogue policies are tightly coupled to the specific dialogue system implementation. … Related articles All 4 versions Cite Save

GuideLink: A Corpus Annotation System that Integrates the Management of Annotation Guidelines. K Oouchida, JD Kim, T Takagi, Jun’ichi Tsujii – PACLIC, 2009 – aclweb.org … We used OpenNLP tools3 to get the part-of-speech of words. 3 http://opennlp.sourceforge.net/ 775 … 2001. MMAX: A Tool for the Annotation of Multi-modal Corpora. In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, 45-50. … Related articles All 7 versions Cite Save More

META-NORD: Baltic and Nordic Branch of the European Open Linguistic Infrastructure A Vasi?jevs, BS Pedersen, K De Smedt… – Proceedings of the …, 2011 – dspace.utlib.ee … Cur- rently there are more than 25 open source pro- jects in the OpenNLP centre which is meant to … puter Assisted Language Learning (CALL), speech input, speech output, dialogue systems, document production, information access and translation applications as dependent … Cited by 6 Related articles All 6 versions Cite Save More

Similarity and Plausible Recommendations SL Epstein, E Osisek, B Hixon… – Advances in …, 2012 – homes.cs.washington.edu … User simulation is frequent in dialogue system development be- cause it offers many practical advantages. … To assess the similarity of pairs of items based on the words in their text descriptions, we first used openNLP’s open source tokenizer (http://opennlp.apache.org/) to … Related articles All 6 versions Cite Save More

A Ranking Approach to Pronoun Resolution. P Denis, J Baldridge – IJCAI, 2007 – aaai.org … of other natural language processing tasks, including –but not limited to– information retrieval, text summarization, and un- derstanding in dialog systems. … The corpus text was preprocessed with the OpenNLP Toolkit3 (ie, a sentence detector, a tokenizer, a POS tagger, and a … Cited by 47 Related articles All 17 versions Cite Save

Semantic Analysis of Natural Language and Definite Clause Grammar using Statistical Parsing and Thesauri B Dagerman, B Akan, B Çürüklü – 2013 – idt.mdh.se … Agent/dialogue systems use Semantic-based Conversational Agents (SCAF) to interact with users through dialogue, often with scripted responses [23]. … OpenNLP is a machine learning library for processing natural language that can perform the above desired tasks [6]. Other … Related articles Cite Save More

Robust dialog management through a context-centric architecture VC Hung – 2010 – etd.fcla.edu … input is emphasized, this endeavor involves the fundamental issues associated with natural language processing, automatic speech recognition and dialog system design. … 20 Dialog Systems ….. 22 … Cited by 2 Related articles Cite Save More

FudanNLP: A toolkit for Chinese natural language processing X Qiu, Q Zhang, X Huang – Proceedings of ACL, 2013 – Citeseer … shtml 2http://incubator. apache. org/opennlp/ 3http://cogcomp. cs. illinois. … Currently, our toolkit has been used by many universities and companies for various applications, such as the dialogue system, so- cial computing, recommendation system and vertical search. … Cited by 6 Related articles All 6 versions Cite Save More

Children’s Turn-Taking Behavior Adaptation in Multi-Session Interactions with a Humanoid Robot I Kruijff-Korbayová, H Cuayáhuitl, B Kiefer, I Baroni… – deib.polimi.it … Since hand-coding dialogue behaviours for complex speech-based or multimodal systems is a daunting task, researchers have turned their attention to machine learning dialogue systems to support adaptive interactions. The reinforcement learning framework has been a … Related articles Cite Save More

[BOOK] Man-machine Dialogue: Design and Challenges F Landragin – 2013 – books.google.com … 46 Chapter 3. The Development Stages of a Dialogue System . . . . . 47 3.1. Comparing a few development progresses . . . . . … 138 8.2.3. Dialogue management and multimodality management . . . 143 8.2.4. Can a dialogue system lie? . . . . … Related articles All 4 versions Cite Save

Design and validation of an intelligent wheelchair towards a clinically-functional outcome P Boucher, A Atrash, S Kelouwani… – Journal of …, 2013 – biomedcentral.com Page 1. RESEARCH Open Access Design and validation of an intelligent wheelchair towards a clinically-functional outcome Patrice Boucher1, Amin Atrash2, Sousso Kelouwani3, Wormser Honoré4, Hai Nguyen1, Julien Villemure5 … Cited by 4 Related articles All 14 versions Cite Save More

Factive/non-factive predicate recognition within Question Generation systems B Wyse – computing-reports.open.ac.uk … to output. The combination of the expressions and templates are called rules. The 4 http://www.nltk.org/ 5 http://opennlp.sourceforge.net/ 6 http://sharpnlp.codeplex.com/ Page 27. 15 techniques described here would be considered to be core to how rule-based QG systems … Related articles Cite Save More

An evaluation of comparison generation in the methodius natural language generation system M Marge – Master’s thesis, University of Edinburgh, 2007 – cs.cmu.edu Page 1. An Evaluation of Comparison Generation in the Methodius Natural Language Generation System Matthew R. Marge Master of Science Artificial Intelligence School of Informatics University of Edinburgh 2007 Page 2. Page 3. i Abstract … Cited by 4 Related articles All 3 versions Cite Save More

Methods and algorithms for automatic text analysis VA Yatsko – Automatic Documentation and Mathematical …, 2011 – Springer … 7–13. 3. Nöth, E., Horndasch, A., Gallwitz, F., and Haas, J., Experiences with Commercial Telephone Based Dialogue Systems, Information technology, vol. 46, no. … 35–40. 18. Tokenizer: Opennlp SourceForgeNet, – URL: http://sourceforge.net/apps/mediawiki/opennlp/index. … Related articles All 5 versions Cite Save

Learning to tell tales: A data-driven approach to story generation N McIntyre, M Lapata – Proceedings of the Joint Conference of the 47th …, 2009 – dl.acm.org … sentence. 2See http://opennlp.sourceforge.net/. 2.2 Sentence Planning So far we have described how we gather knowl- edge about entities and their interactions, which must be subsequently combined into a sentence. The … Cited by 26 Related articles All 14 versions Cite Save

Anaphora resolution of demonstrative noun phrases in medline abstracts M Torii, K Vijay-Shanker – Procedings of PACLING 2005, 2005 – eecis.udel.edu … For maximum entropy modeling, we used the OpenNLP Maxent package (Available at http://maxent.sourceforge.net/ ). … MMAX:. A tool for the annotationof multi-modal corpora. 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems. 45-50. … Cited by 2 Related articles All 2 versions Cite Save More

Review: Realization with CCG A Rudnick – 2010 – cs.indiana.edu … good realizations quickly, without worrying about finding all possible realizations [8], which is the practical case for a task like a dialog system or machine … in Figure 1 in the 2003 paper [8], is in fact implemented very simply with Java ArrayLists, in the class opennlp.ccg.realize … Related articles All 2 versions Cite Save More

Data-driven approaches for information structure identification O Postolache, I Kruijff-Korbayová… – Proceedings of the …, 2005 – dl.acm.org … For C4.5 and RIPPER we use the Weka implementations (Witten and Frank, 2000) and for MaxEnt we use the openNLP package.7 ? In (Veselá et al., 2004), the number of cases when … Producing Contextually Appropriate Intonation in an Information-State Based Dialog System. … Cited by 9 Related articles All 25 versions Cite Save

Shared Tasks And Comparative Evaluation In Natural Language Generation R DALE, M WHITE – ling.ohio-state.edu Page 1. SHARED TASKS AND COMPARATIVE EVALUATION IN NATURAL LANGUAGE GENERATION Workshop Report Edited by ROBERT DALE Macquarie University MICHAEL WHITE The Ohio State University Page 2. Page 3. Contents Preface iii Acknowledgements v … Related articles All 7 versions Cite Save More

Creating a Cognitive Agent in a Virtual World: Planning, Navigation, and Natural Language Generation W Hewlett – 2013 – escholarship.org … ming. This thesis takes the third approach. States and Transitions in the state machine are either created automatically by the Dialog System, or specially cre- ated by C++ programmers. State Machine content authors construct the state … Related articles All 3 versions Cite Save More

Pattern learning and knowledge annotation for question answering N Schlaefer, MAP Gieselmann, IT Schaaf… – Student Research …, 2005 – Citeseer … Examples are intelligent dialog systems or humanoid robots such as the SFB 5881, which is a household robot designed to help people in the kitchen. … I use the POS tagger from the openNLP project6, an open source project that aims at developing a collection of tools for NLP. … Cited by 1 Related articles All 8 versions Cite Save More

Sortal anaphora resolution in Medline abstracts M Torii, K Vijay?Shanker – Computational Intelligence, 2007 – Wiley Online Library … In this work, we used the OpenNLP Maxent package (http://maxent.sourceforge.net/). … In International Joint Conferences on Artificial Intelligence, Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Seattle , Washington , USA . pp.45–50. … Cited by 4 Related articles All 3 versions Cite Save

Document clustering on target entities using persons and organizations KEIJ MING, J RAPHAEL – 2004 – scholarbank.nus.sg … 45 4.3.2 GATE (General Architecture for Text Engineering) …. 47 Page 4. 2 4.3.3 OpenNLP ….. 50 4.3.4 WEKA (The Waikato Environment for Knowledge Analysis)…. 52 … Related articles All 6 versions Cite Save

Algorithm for Analysis and Translation of Sentence Phrases R Lacko – is.muni.cz … Voice XML Voice XML is a World Wide Web Consortium (W3C) standard for specifying dialogue systems, usually for automated customer services. … 7 Page 13. 2. State of the art Apache OpenNLP Apache OpenNLP is another library suite for natural language processing. … Cite Save More

Specifying grammars for OpenCCG: A rough guide C Bozsahin, GJM Kruijff, M White – Included in the OpenCCG …, 2005 – svn.kwarc.info … Recent development efforts, managed by Michael White, have focused on making the realizer [WB03, Whi04a, Whi04b, Whi05] practical to use in dialogue systems, and improving (somewhat) the grammar development process. … Cited by 9 Related articles All 9 versions Cite Save More

Methods for lean, precision-oriented, and targeted coreference resolution D Lindmark – 2012 – stp.lingfil.uu.se … Specifically, such applications may include systems for Information Extraction (IE), Passage Retrieval, Question Answering (QA), Automatic Sum- marization and Abstracting, Machine Translation (MT) and Dialogue Systems. … Related articles Cite Save More

Advanced Techniques for Personalized, Interactive Question Answering S Quarteroni – 2007 – pisa.cs.york.ac.uk … Page 18. 17 Question Answering in the late 1970s and until the end of the 1980s was tightly linked to human-computer dialogue systems, such as expert systems drawing information from structured knowledge bases. Indeed … Cited by 6 Related articles All 8 versions Cite Save More

Classifier ensemble selection using genetic algorithm for named entity recognition A Ekbal, S Saha – Research on Language and Computation, 2010 – Springer … Among other potential application areas, the use of GA can be found in information retrieval (Losee 2000), morphology (Kazakov 1997), dialogue systems (Blasband 1998), grammar … We use OpenNLP Java based ME package4 for computing the values of the parame- ters, ?j . … Cited by 7 Related articles All 6 versions Cite Save

Episodic Memory Model for Embodied Conversational Agents M Elvir – 2010 – etd.fcla.edu … 11 1.4. Dialog Systems and Embodied Conversational Agents ….. 13 … Page 24. 12 techniques, and 3) slow development of reasoning from natural language in dialog systems. From Wlodzislaw et al. … Related articles Cite Save More

Complex Aggregates In Natural Language Interface To Databases MA Gupta – 2013 – web2py.iiit.ac.in … Rajeev Sangal, in the field of Dialogue Systems by using Natural Language Processing (NLP) techniques. In a Dialogue System, a dialogue is established in NL between a human and a machine, leading to an exchange of information at both ends. … Cite Save More

Domain-And Language-Adaptive Natural Language Controlling Framework P Barabás, J Szigeti, L Cser, I Juhász – 193.6.1.94 … vi OWL Web Ontology Langauge POI Point Of Interests POS Part-Of-Speech QLF Quasi-Logical Form RDF Resource Description Framework SDK Software Development Kit SDS Speech Dialog System SNLP Stanford NLP SNLPG Stanford Natutal Language Processing Group … Related articles All 4 versions Cite Save More

An automatic approach for ontology-based feature extraction from heterogeneous textual resources C Vicient, D Sánchez, A Moreno – Engineering Applications of Artificial …, 2013 – Elsevier … Another domain-dependent system is SOBA (Buitelaar et al., 2008), a sub-component of the SmartWeb (a multi-modal dialog system that derives answers from unstructured resources such as the Web), which automatically populates a knowledge base with information extracted … Cited by 8 Related articles All 5 versions Cite Save

Innovation Engine for Blog Spaces A Lorincz – 2011 – DTIC Document Page 1. AFRL-AFOSR-UK-TR-2011-0040 Innovation Engine for Blog Spaces Andras Lorincz Neumann János Számítógép-tudományi Társaság Eotvos Lorand University Department of Information Systems Pazmany Peter setany 1/C Budapest, Hungary H-1117 … Cited by 1 Related articles All 2 versions Cite Save

REAP em Português LC dos Santos Marujo – 2009 – inesc-id.pt Page 1. REAP em Português Lu´?s Carlos dos Santos Marujo Dissertation for obtaining the Master’s Degree in Information Systems and Computer Engineering Jury President: Professor Ana Maria Severino de Almeida e Paiva … Related articles All 2 versions Cite Save More

Frame Assignment with Active Learning M Ghayoomi, M Pinkal, C Sporleder – 2009 – Citeseer … Page 10. 10 text summarization, and text data mining (Hearst, 1999); moreover such annotation might be used in question-answering systems, semantic dialogue systems, word … information extraction, question answering systems, dialogue systems, and machine … Related articles All 5 versions Cite Save More

Ontology-Based Information Extraction CV Monllaó – 2011 – acia.udl.cat Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó June, 23rd 2011 Page 2. Page 3. iii Table of contents … Cited by 2 Related articles Cite Save More

Intrinsic and Extrinsic Approaches to Recognizing Textual Entailment DP der Philosophischen – 2011 – coli.uni-saarland.de … Each utterance in the interpreted version is actually implied or entailed by the utterances in the original conversation. Con- sequently, if we want to build a dialogue system, dealing with this kind of implication or entailment is one of the key challenges. Let alone there … Related articles All 3 versions Cite Save More

Learning to tell tales: automatic story generation from Corpora ND McIntyre – 2011 – era.lib.ed.ac.uk Page 1. Learning to Tell Tales: Automatic Story Generation from Corpora Neil McIntyre T H E U NIVER S I T Y O F E DI NBU R G H Doctor of Philosophy Institute for Communicating and Collaborative Systems School of Informatics University of Edinburgh 2011 Page 2. Page 3. iii … Cited by 2 Related articles All 2 versions Cite Save

Samisk sprakteknologi T Trosterud – Nordisk Sprogteknologi: 2003, 2004 – books.google.com … V: Multilinguality and general applications: • Semantically annotated corpora • Information retrieval and extraction • Machine translation systems; translation of NPs and simple sentences • Dialog systems • Multilingual lexical-semantic knowledge base • Language learning … Cited by 1 Related articles Cite Save

P47/Z4/u VR Alur – 2007 – harbormist.com Page 1. Robust Semantic Role Labeling Using Parsing Variations And Semantic Classes Szu-ting Yi A DISSERTATION in Computer and Information Science Presented to the Faculties of the University of … Related articles All 2 versions Cite Save

Robust semantic role labeling using parsing variations and semantic classes S Yi – 2007 – seas.upenn.edu Page 1. ROBUST SEMANTIC ROLE LABELING USING PARSING VARIATIONS AND SEMANTIC CLASSES Szu-ting Yi A DISSERTATIQN In Computer and Information Science Presented to the Faculties of the University of … Cited by 2 Related articles All 5 versions Cite Save

A Machine Learning Approach to Anaphora Resolution Including Named Entity Recognition, PP Attachment Disambiguation, and Animacy Detection A Nøklestad – 2009 – duo.uio.no Page 1. A Machine Learning Approach to Anaphora Resolution Including Named Entity Recognition, PP Attachment Disambiguation, and Animacy Detection Anders Nøklestad May 7, 2009 Page 2. © Anders Nøklestad, 2009 … Cited by 12 Related articles All 4 versions Cite Save

EXCITEMENT open platform: Architecture and Interfaces TG Noh, S Pado, A Stern, O Bronstein, R Wang… – 2013 – hltfbk.github.io Page 1. Excitement_Open_Platform_Specification http://www.project-excitement. eu/ 14 October 2013 Page 1 of 107 EXCITEMENT open platform: Architecture and Interfaces Specification V1.1.4 14 October 2013 Authors: Tae … Related articles All 2 versions Cite Save More

Ontology-based Information Extraction C Vicient Monllaró – 2011 – upcommons.upc.edu Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó Advisors: Antonio Moreno Ribas, David Sánchez Ruenes June, 23rd 2011 Page 2. v Agraïments … Related articles All 2 versions Cite Save

Robust Semantic Role Labeling Using Parsing Variations And Semantic Classes Szu-ting Yi MS Palmer – 2007 – littlepo.com … This problem is also addressed within the develop- ment of TRIPS (Allen et al., 2001). TRIPS is a spoken dialogue system that has been implemented for various domains; it performs spontaneous interactions with users who stay focused on the task in question. … Related articles All 3 versions Cite Save More

Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages J Jarman – 2011 – scholarcommons.usf.edu Page 1. University of South Florida Scholar Commons Graduate School Theses and Dissertations Graduate School 1-1-2011 Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages … All 2 versions Cite Save

Combining visual recognition and computational linguistics: linguistic knowledge for visual recognition and natural language descriptions of visual content M Rohrbach – 2014 – scidok.sulb.uni-saarland.de Page 1. Combining Visual Recognition and Computational Linguistics Linguistic Knowledge for Visual Recognition and Natural Language Descriptions of Visual Content Thesis for obtaining the title of Doctor of Engineering Science (Dr.-Ing.) … Cite Save