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  • Big NLP 2016
    |Acronym=Big NLP 2016 |Title=Big NLP 2016 : Big Data and Natural Language Processing workshop hosted at IEEE Bi
    419 bytes (58 words) - 16:21, 8 July 2016

Page text matches

  • EMNLP 2020
    |Field=NLP *Interpretability and Analysis of Models for NLP
    5 KB (612 words) - 10:41, 2 June 2020
  • EMNLP 2018
    |Field=NLP ...) special interest group on linguistic data and corpus-based approaches to NLP, invites you to participate in the 2018 Conference on Empirical Methods in
    647 bytes (83 words) - 14:10, 4 June 2020
  • ACL2020
    * Ethics and NLP * Interpretability and Analysis of Models for NLP
    3 KB (368 words) - 02:02, 12 September 2019
  • ACL 2008
    o NLP-oriented information retrieval * Information retrieval/NLP applications
    10 KB (1,326 words) - 23:19, 13 December 2017
  • ACL 2008 SRW 2008
    Wolfgang Maier (NLP Co-Chair) Wolfgang Maier (NLP Co-Chair)
    14 KB (1,896 words) - 17:00, 29 May 2016
  • EMNLP 2008
    * general NLP-related machine learning techniques: theory, methods and algorithms
    4 KB (487 words) - 13:10, 19 February 2020
  • EMNLP 2009
    |Field=NLP *NLP for Web 2.0
    1 KB (170 words) - 14:42, 19 February 2020
  • WEM 2008
    * Natural Language Processing: applications of NLP technologies to email, message understanding, topic
    5 KB (668 words) - 17:01, 24 February 2016
  • BEA 2008
    | Title = ACL 2008 Workshop on Innovative Use of NLP for Building Educational Applications Innovative Use of NLP for Building Educational Applications
    6 KB (825 words) - 17:06, 27 December 2015
  • ESAIR 2008
    techniques that identify or extract them. As NLP tagging techniques
    4 KB (542 words) - 09:57, 29 May 2016
  • SigDial 2008
    Discourse semantic and pragmatic issues in NLP applications such as text summarization, question answering, information re
    5 KB (646 words) - 14:36, 15 June 2020
  • SemPub2016
    ...b field, such as Information Extraction (IE), Natural Language Processing (NLP), Named Entity Recognition (NER), link discovery, etc., is required to deal ...d fundings source. The task mainly requires PDF mining techniques and some NLP processing.
    6 KB (834 words) - 19:29, 1 June 2016
  • MWE-LEX-2020
    |Field=NLP, multiword expressions, lexicography, linguistics ...s in linguistic modelling (e.g. treebank annotation, grammar engineering), NLP pipelines (notably when orchestrated with parsing), and end-user applicatio
    7 KB (995 words) - 21:58, 31 August 2020
  • ACL 2019
    |Field=NLP
    1 KB (178 words) - 20:05, 7 February 2020
  • EMNLP 2017
    |Field=NLP ...s special interest group on linguistic data and corpus-based approaches to NLP, invites you to participate in EMNLP 2017.
    8 KB (1,198 words) - 20:28, 7 February 2020
  • EMNLP 2019
    |Field=NLP
    331 bytes (40 words) - 20:38, 7 February 2020
  • COLING 2020
    * Applications (including BioNLP and eHealth, NLP for legal purposes, NLP for Social Media and Journalism, among others) * CL/NLP and Linguistic Theories, Cognitive Modeling and Psycholinguistics
    2 KB (250 words) - 16:38, 7 April 2021
  • WSDM 2020
    * NLP for Web mining
    4 KB (508 words) - 15:49, 14 May 2020
  • SIGIR 2020
    ...h, semantic search, entity search, KB question answering, knowledge-guided NLP, search and recommendation). ....g., summarization, text representation, linguistic analysis, readability, NLP for search applications, cross- and multi-lingual search, information extra
    8 KB (1,024 words) - 09:57, 13 May 2020
  • SEMANTiCS 2019
    ...ic technologies, which are today together with other methodologies such as NLP and machine learning the core of intelligent systems. The conference highli
    3 KB (347 words) - 16:48, 12 September 2019
  • ACL 2020
    * Ethics and NLP * Interpretability and Analysis of Models for NLP
    4 KB (531 words) - 10:13, 28 October 2020
  • JIST 2016
    * Semantics and NLP
    5 KB (711 words) - 19:02, 7 March 2020
  • IWSW 2016
    - Database, IR, NLP and AI technologies for the Semantic Web .
    2 KB (244 words) - 17:58, 28 April 2016
  • EMNLP 2016
    * Text Mining and NLP Applications: Preslav Nakov (Qatar Computing Research Institute), Vivi Nast
    8 KB (1,078 words) - 20:13, 7 February 2020
  • EMNLP 2015
    ...' special interest group on linguistic data and corpus-based approaches to NLP, invites submissions to EMNLP 2015. NLP for Web and Social Media (including Computational Social Science)
    9 KB (1,257 words) - 13:14, 26 February 2020
  • CHIS 2016
    |Field=health care text analytics, information retrieval, NLP, query retrieval
    412 bytes (49 words) - 19:38, 24 July 2016
  • WNUT 2016
    |Field=natural language processing, NLP, machine learning, social media
    413 bytes (53 words) - 16:17, 8 July 2016
  • DPIL @ FIRE 2016
    |Field=natural language processing, indian languages, NLP, semantic similarity |Homepage=nlp.amrita.edu/dpil_cen/
    383 bytes (49 words) - 18:22, 8 July 2016
  • TMNZ 2016
    |Field=computer science, NLP, data mining, information extraction
    325 bytes (38 words) - 06:32, 20 September 2016
  • EACL SRW 2017
    |Field=NLP, machine learning, information retrieval, artificial intelligence
    419 bytes (51 words) - 16:21, 8 July 2016
  • Big NLP 2016
    |Acronym=Big NLP 2016 |Title=Big NLP 2016 : Big Data and Natural Language Processing workshop hosted at IEEE Bi
    419 bytes (58 words) - 16:21, 8 July 2016
  • IberSPEECH 2016
    |Field=NLP, speech
    380 bytes (47 words) - 16:21, 8 July 2016
  • SeMaT 2016
    |Field=machine translation, semitic languages, NLP, machine learning
    334 bytes (35 words) - 06:30, 20 September 2016
  • NL+SE 2016
    |Field=NLP, software engineering ...om GitHub, StackOverflow, etc., are amenable to analysis using statistical NLP models and algorithms, so that the revolutionary advances in speech recogni
    2 KB (247 words) - 15:55, 10 November 2016
  • MIKE 2016
    |Field=NLP, artificial intelligence
    396 bytes (49 words) - 15:08, 17 August 2016
  • SPNLP 2016
    |Title=SPNLP 2016 : EMNLP 2016 Workshop - Structured Prediction for NLP
    357 bytes (44 words) - 15:08, 17 August 2016
  • ESAIR 2016
    |Field=NLP, information retrieval
    379 bytes (46 words) - 15:09, 17 August 2016
  • CogALex 2016
    |Field=NLP
    354 bytes (46 words) - 15:09, 17 August 2016
  • NoDaLiDa 2017
    |Field=NLP
    358 bytes (43 words) - 13:50, 25 September 2016
  • CMMM-SDAPH 2017
    |Field=NLP, ehealth
    421 bytes (55 words) - 17:02, 10 February 2021
  • ELex 2017
    |Field=NLP
    377 bytes (48 words) - 10:45, 11 September 2016
  • JeTou 2017
    |Field=linguistics, NLP, psycholinguistics, neuro-psycholinguistics
    413 bytes (50 words) - 12:49, 4 May 2017
  • KDK 2017
    ...d commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on know ...e data is of increasing importance to machine learning-based approaches in NLP, Linked Data and Semantic Web research and applications that depend on ling
    6 KB (847 words) - 15:02, 8 December 2016
  • PLN58 2017
    |Field=NLP, information retrieval
    314 bytes (38 words) - 13:45, 25 September 2016
  • TFML 2017
    |Field=machine learning, artificial intelligence, cheminformatics, NLP
    416 bytes (50 words) - 13:47, 25 September 2016
  • AIHealth@FLAIRS 2017
    |Field=mining clinical data, ai in medicine, intelligent decision suport, nlp in healthcare
    498 bytes (56 words) - 15:19, 25 September 2016
  • ECAI 2020
    *Natural Language Processing (NLP)
    4 KB (551 words) - 13:14, 13 February 2020
  • SIMBig 2017
    Bio NLP, Healthcare Informatics
    2 KB (300 words) - 20:17, 6 July 2017
  • Drift-a-LOD 2017
    ...pt drift (using any method, incl. reasoning, data mining, word embeddings, NLP)
    4 KB (531 words) - 12:59, 8 July 2017
  • NLIWoD 2017
    - Language resources and NLP software for question answering
    5 KB (693 words) - 10:36, 16 July 2017

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