Sentence Segmentation & Dialog Systems

Notes:

Sentence segmentation is the process of dividing a piece of text into individual sentences. This is an important step in natural language processing (NLP) and language modeling, as it allows the system to identify and analyze the structure and meaning of the text. In the context of dialog systems, sentence segmentation can be used to identify and process the individual sentences in the user’s input and the system’s response. This can help the dialog system understand the user’s intentions and generate more relevant and coherent responses. Sentence segmentation can also be used to improve the performance of other NLP tasks, such as part-of-speech tagging or named entity recognition. Overall, sentence segmentation is an important component of many dialog systems, and can help improve the system’s ability to understand and respond to user input.

Wikipedia:

Segmentation Rules eXchange (SRX)

Topic segmentation M Purver – … : systems for extracting semantic information from …, 2011 – researchgate.net … While two-person dialogue systems have been the subject of a huge amount of research (not to mention commercial interest), the dialogue they usually involve does not immediately lend itself to segmentation of this kind. … (Automatic sentence segmentation errors may mean that … Cited by 24 Related articles All 5 versions

Investigating multiple approaches for SLU portability to a new language. B Jabaian, L Besacier, F Lefèvre – INTERSPEECH, 2010 – lia.univ-avignon.fr … Index Terms: Dialogue systems, Spoken Language Understanding, Languages Portability, Statistical Machine Translation. … representation of the new translated corpus we use the MOSES decoder with an option that allows to force particular sentence segmentation into phrases … Cited by 14 Related articles All 6 versions

[BOOK] Spoken language understanding: Systems for extracting semantic information from speech G Tur, R De Mori – 2011 – books.google.com … of Handling Speech in QA Systems 6.3 A Evaluation Cam ai ns 6.4 Question-answering systems 6.5 Proiects Integrating Spoken Requests and Question Answering 6.6 Conclusions References Chapter 7: SLU in Commercial and Research Spoken Dialogue Systems 7.1 Why … Cited by 85 Related articles All 5 versions

Sentence simplification for spoken language understanding G Tur, D Hakkani-Tur, L Heck… – Acoustics, Speech and …, 2011 – ieeexplore.ieee.org … Spoken language understanding (SLU) in human/machine spoken dialog systems aims to automatically identify the intent of the user as expressed in natural language and … [15] B. Favre, D. Hakkani-Tür, S. Petrov, and D. Klein, “Efficient sentence segmentation using syntactic … Cited by 12 Related articles All 10 versions

Unsupervised clustering of emotion and voice styles for expressive TTS F Eyben, S Buchholz, N Braunschweiler… – … , Speech and Signal …, 2012 – ieeexplore.ieee.org … are 3 main scenarios for expres- sion derivation: from text (audiobook reading); given by external sources (in a dialog system or manually … and corresponding audio could be aligned) using the seg- mentation part of the lightly supervised sentence segmentation and selection … Cited by 18 Related articles All 5 versions

Efficient combined approach for named entity recognition in spoken language. A Zidouni, S Rosset, H Glotin – INTERSPEECH, 2010 – quaero.org … this system is used within a question-answering system and a spoken dialog system, the need is different from a NE task … A simple sentence-segmentation model has been trained on the training data using CRF and word-context as feature (is this word followed by a punctuation … Cited by 11 Related articles All 3 versions

Comparison and combination of lightly supervised approaches for language portability of a spoken language understanding system B Jabaian, L Besacier, F Lefevre – Audio, Speech, and …, 2013 – ieeexplore.ieee.org … II. DIFFERENT METHODS FOR CONCEPT TAGGING In dialogue systems, the SLU module has an intermediate role between ASR and DM. Its role is to … described in [17], allows to force a particular sentence segmentation into phrases (or chunks) before translation. … Cited by 8 Related articles All 5 versions

Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output B Favre, B Bohnet… – Acoustics Speech and …, 2010 – ieeexplore.ieee.org … relation be- tween the performance of the subtasks that lead to SRL, including ASR, part-of-speech tagging or sentence segmentation. … side, SRL has become an important component of spoken language understanding systems [8, 9]. For example, ATIS dialog systems allow to … Cited by 5 Related articles All 8 versions

Employing web search query click logs for multi-domain spoken language understanding D Hakkani-Tur, G Tur, L Heck… – … (ASRU), 2011 IEEE …, 2011 – ieeexplore.ieee.org … [7] C. Lee, S. Jung, S. Lee, and G. Lee, “Example-based dialog modeling for practical multi-domain dialog system,” Speech Communication, vol. 51, pp. 466–484, 2009. … [20] B. Favre, D. Hakkani-Tür, S. Petrov, and D. Klein, “Efficient sentence segmentation using syntactic … Cited by 8 Related articles All 12 versions

An empirical investigation of sparse log-linear models for improved dialogue act classification YN Chen, WY Wang, AI Rudnicky – Acoustics, Speech and …, 2013 – ieeexplore.ieee.org … 7. REFERENCES [1] Jason D. Williams and Steve Young, “Partially observable Markov decision processes for spoken dialog systems,” Com- puter … Hakkani-Tür, J. Fung, N. Mirghafori, L. Gottlieb, E. Shriberg, and Y. Liu, “The ICSI+ multilingual sentence segmentation system,” in … Cited by 6 Related articles All 3 versions

An open source Urdu resource grammar SM Virk, M Humayoun, A Ranta – Proceedings of the Eighth Workshop on …, 2010 – aclweb.org … Page 169. building domain specific application grammars including multilingual dialogue systems, controlled language translation, software localization etc. … Sentence Segmentation and Segment Re-Ordering for English to Urdu Machine Translation. … Cited by 5 Related articles All 10 versions

A Preliminary Study of Prosody Based Detection of Questions in Arabic Speech Monologues O Khan, WG Al-Khatib, L Cheded – Arabian Journal for Science …, 2010 – ajse.kfupm.edu.sa … in many speech-related applications, including speaker and word recognition, emotion and accent identification, topic and sentence segmentation, and text … was carried out on a corpus of spoken tutor dialogues for the development of intelligent tutoring spoken dialogue systems. … Cited by 2 Related articles All 2 versions

Design of a hybrid high quality machine translation system K Eberle, J Geiß, M Ginestí-Rosell, B Babych… – Proceedings of the …, 2012 – dl.acm.org … by humans and can be exploited for a lot of applications outside of translation (dictionaries, text understanding, dialogue systems, etc … With the exception of sentence segmentation, these algorithms are largely language independent and can be used for all of the languages that … Cited by 2 Related articles All 11 versions

Construction and analysis of educational assessments using knowledge maps with weight appraisal of concepts CY Su, TI Wang – Computers & Education, 2010 – Elsevier … Natural language processing technique can be used effectively in language-based domains, such as dialogue systems, speech recognition … (1). Item and course material preprocessing module: This module is responsible for performing sentence segmentation and determining … Cited by 11 Related articles All 6 versions

Review on natural language processing A Reshamwala, D Mishra, P Pawar – IRACST Engineering Science and …, 2013 – estij.org … It uses the sentence segmentation which deals with punctuation marks with a simple decision tree. … addition of automatic summarization including indexing, which extracts the gist of the speech transcriptions in order to deal with Information retrieval and dialogue system issues. … Cited by 1 Related articles All 3 versions

Human Language Technology Z Vetulani – 2011 – Springer … processing stage for higher-level processing (parsing) is considered in the next paper; the SRX standard for sentence segmentation was applied … The next two papers cover various aspects of a man–machine dialogue system (POLINT- 112-SMS) designed to understand short … Cited by 1 Related articles All 4 versions

Measuring verbal intelligence using linguistic analysis K Zablotskaya, M Abbas, S Zablotskiy… – … (IE), 2011 7th …, 2011 – ieeexplore.ieee.org … According to this information, dialogue systems begin to adapt to users, change words and structures of their explanations and make the conversation … This sentence segmentation was done based on the Kindt’s sentence definition [6]. Ac- cording to W. Kindt, a sentence is the … Cited by 1 Related articles All 4 versions

Two-stage stochastic natural language generation for email synthesis by modeling sender style and topic structure YN Chen, AI Rudnicky – INLG 2014, 2014 – aclweb.org … A lot of NLG systems are applied in dialogue systems, some of which focus on topic model- ing (Sauper and Barzilay, 2009; Barzilay and Lap- ata … We perform sentence segmentation using punc- tuation and line-breaks and then manually tag each sentence with a structure label … Cited by 1 Related articles All 8 versions

Natural Language Understanding and Prediction: from Formal Grammars to Large Scale Machine Learning N Duta – Fundamenta Informaticae, 2014 – IOS Press … The directed dialog systems added a dialog manager and a small number of fixed intents often specified as a single piece of information5. … 7Slot extraction also performs sentence segmentation and is a more difficult classification task Page 12. … Cited by 1 Related articles All 3 versions

Domain adaptation and compensation for emotion detection. MH Sanchez, G Tür, L Ferrer, D Hakkani-Tür – INTERSPEECH, 2010 – researchgate.net … [13] J. Liscombe, G. Riccardi, and D. Hakkani-Tur, “Using context to improve emotion detection in spoken dialog systems,” Lisbon, Portugal, 2005, Interspeech. … 24–38, 1997. [18] S. Cuendet, D. Hakkani-Tür, and G. Tur, “Model adapta- tion for sentence segmentation from speech … Cited by 3 Related articles All 6 versions

A spoken dialogue system with situation and emotion detection based on anthropomorphic learning for warming healthcare d BH Su, PW Fu, PC Lin, PY Shih, YC Lin… – … (ICOT), 2014 IEEE …, 2014 – ieeexplore.ieee.org … Fig. 2. Framework of proposed dialogue system. 1) Situation Detection Intuitively, we detect situation of a Chinese sentence by observing its nouns, verbs, and adjectives. … VNoun VAdjective VVerb Fig.3. Sentence segmentation based on lexical category ,1 , ,2 , ,3 , 1 1 1 ( ) , … Related articles

Incremental Emotion Recognition. T Mishra, D Dimitriadis – INTERSPEECH, 2013 – Citeseer … One way to improve the response time of such systems is to remove the phrase (or sentence) segmentation requirement. … 1, pp. 32–80, 2001. [3] F. Burkhardt, M. van Ballegooy, K.-P. Engelbrecht, T. Polzehl, and J. Stegmann, “Emotion Detection in Dialog Systems: Appli- cations … Related articles All 8 versions

Automatic dialogue act recognition with syntactic features P Král, C Cerisara – Language Resources and Evaluation, 2014 – Springer … 2006 ) and C-STAR (Blanchon and Boitet 2000 ) machine translation and dialogue systems that rely on dialogue act classification. … We assume in our work that sentence segmentation is known, because we rather prefer to concentrate on the challenge of designing relevant … Related articles All 4 versions

Question Answering System S Nalawade, S Kumar, D Tiwari – ijsr.net … Since 1960s, till the field was in its infancy, a variety of natural language database front-ends, dialog systems, and language … entered by the user is bring down to its basic meaning words by the following four main activities: Sentence Segmentation, Tokenization, Removing Stop … Related articles

A Survey of Intelligent Language Tutoring Systems MA Emran, K Shaalan – Advances in Computing, …, 2014 – ieeexplore.ieee.org … 6. Beetle II System Beetle II system is a tutorial dialogue system that has been implemented to accept input from the learner without … The tactic that allows him to tackle several syntactic constructions and lexical items including: sentence segmentation and spell checking. … Related articles All 2 versions

Significance of Prosody for Speaker, Language and Speech Recognition L Mary – Extraction and Representation of Prosody for Speaker, …, 2012 – Springer … Applications such as spoken dialog systems, database search and retrieve systems, automatic call routing, and language translation … Prosody also seems to contribute for related applications such as automatic sentence segmentation, disfluency detection, topic segmentation … All 2 versions

Discrimination of Sentinel Word Contexts Using Prosodic Features V Këpuska, R Sastraputera – my.fit.edu … In a spontaneous and natural dialog system, the most important context switching occurs when a user uses alerting context. … Prosodic analysis has been applied to the following areas: (1) structural tagging such as automatic sentence segmentation of multi-party meeting (Kolar … Related articles

Toward Domain Adaptation for Chinese Word Segmentation Based on Semi-supervised Learning X Zhong, P Ding – aia-i.com … phase, a classification phase and a selection phase, shown in Figure 1 . Before itera- tion in the self-training approach, all data which are documents are converted into sentences file with rule-based sentence segmentation, which will be demonstrated in Section 4. In the … Related articles

Question answering system: A heuristic approach V Bhoir, MA Potey – Applications of Digital Information and Web …, 2014 – ieeexplore.ieee.org … RELATED WORK Since 1960s, a variety of natural language database frontends, dialog systems and language understanding systems were … This step involves the preprocessing of user question using the following four main activities: sentence segmentation, tokenization, stop … Related articles

Semantic Role Labeling of Speech Transcripts N Shrestha, I Vuli?, MF Moens – Computational Linguistics and Intelligent …, 2015 – Springer … SRL has many key applications in NLP, such as question answering, machine trans- lation, and dialogue systems. Many effective SRL systems have been developed to work with written data. … Therefore, we focus on frame segmentation rather than sentence segmentation. …

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

Utilizing gestures to improve sentence boundary detection L Chen, MP Harper – Multimedia Tools and Applications, 2011 – Springer … It also would support many language processing tasks such as parsing, language modeling, and question answering in dialog systems. Due to its importance, much research has been conducted on sentence boundary detection [32, 34, 45, 47, 48]. … Cited by 1 Related articles All 8 versions

QAS SD Joshi – ijaiem.org … Since 1960s, a variety of natural language database frontends, dialog systems and language understanding systems were created. … Step 2: This step involves the preprocessing of user question using the following four main activities: sentence segmentation, tokenization, stop … Related articles

Unnecessary Utterance Detection for Avoiding Digressions in Discussion R Yoshida, T Hiraoka, G Neubig, S Sakti, T Toda… – isw3.naist.jp … If, for example, a dialogue system could help us avoid digressions and keep the conversation on track, the discussion could proceed more efficiently. … [3] Yang Liu and Shasha Xie, “Impact of automatic sentence segmentation on meeting summarization,” Proceedings of ICASSP … Related articles All 2 versions

Text generation for brazilian portuguese: the surface realization task EM de Novais, TD Tadeu, I Paraboni – … of the NAACL HLT 2010 Young …, 2010 – dl.acm.org … After sentence segmentation, the corpus was tagged and parsed using PALAVRAS (Bick, 2000). … Oh, A. and A. Rudnicky (2000) Stochastic language generation for spoken dialogue systems. Proceedings of the ANLP-NAACL 2000 Workshop on Conversa- tional Systems, pp. … Cited by 3 Related articles All 14 versions

Fundamentals Tools of Modern Multilingual Speech Processing Technology in “Urdu” langauage Speech Processing MW Ashfaque, QN Naveed, SS Banu, QSSA Ahmed – ijaiem.org … For text processing, word and sentence segmentation are reviewed. … According to past literature reviews, three applications including spoken dialogue systems, speech translation, and speaker recognition have been explored. …

Unsegmented Dialogue Act Annotation and Decoding with N-Gram Transducers C Martinez-Hinarejos, J Benedi, V Tamarit – ieeexplore.ieee.org … Abstract—Most studies on dialogue corpora, as well as most dialogue systems, employ dialogue acts as the basic units for interpreting discourse structure, user input and system actions. … Index Terms—Spoken dialogue systems, dialogue annotation, n-gram transducer … Related articles

Semantic Analysis Of Natural Language And Definite Clause Grammar Using Statistical Parsing And Thesauri B Dagerman – 2013 – idt.mdh.se … Furthermore, common specialized frameworks for natural language processing tasks are presented. Agent/dialogue systems use Semantic-based Conversational Agents (SCAF) to interact … the above desired tasks [6]. Other features include: sentence segmentation, named entity … Related articles All 3 versions

Dialogue-based Exploration of Graphics for Users with a Visual Disability J Plhak – is.muni.cz … 30 4.1.1 DialogueStrategies . . . . . 32 4.2 Types of Dialogue Systems . . . . . 32 4.3 Dialogue Systems Supported by Ontologies . . . . . 34 4.3.1 UK Cancer Referrals and Home Control . . . . . 34 4.3.2 SmartWeb . . . . . … Related articles

Design of components for understanding, dialogue management and feedback to the user R Manione, F Arisio, E Gerbino, CG FBK, MM FBK – 2012 – dirha.fbk.eu … Dialogue systems have specific requirements for this, including adequate recovery from error. … In general, the degrees of initiative in the spoken dialog system fall into one of the following strategies: • System-initiative: The system has the initiative to guide the dialog at each step. … Related articles All 2 versions

[BOOK] Multilingual natural language processing applications: from theory to practice D Bikel, I Zitouni – 2012 – books.google.com … 2.2.3Discriminative Sequence Classification Methods 2.2.4 Hybrid Approaches 2.2.5 Extensions forGlobalModeling for Sentence Segmentation 2.3 Complexity … 14.6.1 Evaluation Metrics in the GALE Program 14.7 Summary Chapter 15 Spoken Dialog Systems 15.1 Introduction … Cited by 4 Related articles All 2 versions

Linguistic structure prediction NA Smith – Synthesis lectures on human language …, 2011 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 54 Related articles All 10 versions

[BOOK] Extraction and representation of prosody for speaker, speech and language recognition L Mary – 2011 – books.google.com … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Cited by 2 Related articles All 6 versions

Melos: Analysis and modelling of speech prosody and speaking style N Obin – 2011 – hal.upmc.fr … Modelling the variability of speech prosody is required to provide natural, expressive, and varied speech in many applications of high-quality speech synthesis such as multi-media (avatars, video games, story telling, dialogue systems) and artistic (cinema, theatre, music, digital … Cited by 14 Related articles All 16 versions

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Bitext alignment J Tiedemann – Synthesis Lectures on Human Language …, 2011 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 27 Related articles All 14 versions

Combining multiple parallel streams for improved speech processing JTR de Sousa Miranda – 2014 – l2f.inesc-id.pt … Towards the completion of the current work, we will also explore how rich transcription tech- niques, namely sentence segmentation and detection / recovery of disfluencies (filled pauses, … Spoken dialog systems [56, 32] collaborate with a user in spoken language to complete a … Related articles

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Copyright 2014 Janara Christensen J Christensen – homes.cs.washington.edu Page 1. c Copyright 2014 Janara Christensen Page 2. Page 3. Towards Large Scale Summarization Janara Christensen A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2014 Reading … Related articles